Shougui Zhang | Computational mathematics | Best Researcher Award

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Prof. Dr. Shougui Zhang | Computational mathematics | Best Researcher Award

Teacher| Chongqing Normal Univercity | China

Dr. Xin Li is an accomplished scholar and educator specializing in clinical medicine and sports health sciences, currently serving as an Associate Professor at Tianjin Normal University since 2006. She obtained her Doctor of Medicine (MD) in Clinical Medicine from Tianjin Medical University in July 2006. Over nearly two decades of academic and research experience, Dr. Li has established herself as a leading expert at the intersection of clinical medicine, exercise science, and health management. Her teaching portfolio encompasses a range of courses in sports health, exercise rehabilitation, and health management, with a focus on integrating clinical case studies into theoretical instruction to enhance students’ practical competencies and professional insight. Dr. Li’s research primarily addresses exercise interventions for chronic diseases, sports injury prevention, and rehabilitation science, contributing to the growing evidence base linking physical activity with disease prevention and functional recovery. She has led and participated in numerous provincial and municipal research projects, achieving notable outcomes that have advanced the application of medical principles in sports health practice. To date, Dr. Li has published over ten academic papers in peer-reviewed core journals and international conferences, several of which have been widely cited and recognized within the academic community for their methodological rigor and clinical relevance. Her collaborative approach bridges disciplines such as physiology, public health, and kinesiology, fostering innovation and interdisciplinary integration in sports medicine research. Beyond academia, Dr. Li’s work holds significant societal impact, promoting the scientific development of exercise-based health strategies for chronic disease management and population well-being. Combining solid clinical expertise, pedagogical excellence, and a strong research record, Dr. Xin Li continues to contribute meaningfully to the advancement of sports health education and evidence-based medical practice in China and beyond.

Profile: Scopus | ORCID

Featured Publications

Zhang, S. (2025). A self-adaptive alternating direction multiplier method for variational inequality in two domains. Applied Mathematics and Mechanics.

Zhang, S., & Coauthors. (2025). Analysis of a Crank–Nicolson fast element-free Galerkin method for the nonlinear complex Ginzburg–Landau equation. Journal of Computational and Applied Mathematics.

Zhang, S. (2024). Self-adaptive alternating direction method of multiplier for a fourth order variational inequality. Journal of Inequalities and Applications.

Professor Shougui Zhang’s research advances the development of efficient computational methods for complex variational inequalities and partial differential equations, strengthening the mathematical foundation for modern engineering, physics, and optimization problems. His work enhances scientific computing capabilities, supporting innovation in technology, modeling, and data-driven decision-making across academic and industrial domains worldwide.

Aamir Saghir | Mathematics | Best Researcher Award

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Dr. Aamir Saghi | Mathematics | Best Researcher Award

Associate Professor at Mirpur University of Science and Technology, Pakistan

Dr. Aamir Saghir, an Associate Professor of Statistics at Mirpur University of Science and Technology (MUST), Pakistan, is a distinguished researcher in Statistical Quality Control, Data Analysis, and Probability Distributions. With a Ph.D. from Zhejiang University, China, and a post-doctoral fellowship from the University of Pannonia, Hungary, he has cultivated a strong international research presence. Dr. Saghir has authored over 60 research publications in reputed journals, including IEEE Access and Computers & Industrial Engineering, and co-authored a book with Wiley. He has successfully led funded research projects and supervised numerous M.Phil. and Ph.D. scholars. His leadership roles include department chairperson, treasurer, and chief librarian, reflecting a commitment to academic and administrative excellence. His future research focuses on integrating machine learning with statistical methods for anomaly detection. With proven academic contributions, strong mentorship, and impactful research, Dr. Saghir is a deserving candidate for the Best Researcher Award.

Professional Profile

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Aamir Saghir has a strong academic background in the field of statistics, marked by excellence and international exposure. He earned his Ph.D. in Statistics from Zhejiang University, China (2011–2014), where he specialized in the development of flexible and robust control charts for statistical process monitoring under the supervision of Professor Zhengyan Lin. Prior to that, he completed his M.Phil. in Statistics from Quaid-i-Azam University, Islamabad (2006–2008), focusing on Bayesian and classical approaches to process parameter monitoring. He also earned his M.Sc. in Statistics from the same university (2004–2006), where he graduated with first position in his session. His academic journey began with a bachelor’s degree in Mathematics and Statistics from the University of Azad Jammu and Kashmir (2001–2003). Dr. Saghir’s education is marked by academic distinction and research depth, providing a solid foundation for his successful career as a researcher and educator in statistical sciences.Professional

Experience

Dr. Aamir Saghir brings over 17 years of diverse academic and research experience in the field of statistics. He is currently serving as an Associate Professor in the Department of Statistics at Mirpur University of Science and Technology (MUST), where he has also held administrative roles such as Chairperson, Treasurer, and Chief Librarian. He began his teaching career as a Lecturer at the University of Azad Jammu and Kashmir in 2006 and later joined MUST, where he progressed through the ranks from Lecturer to Assistant Professor, and then to Associate Professor. He also completed a prestigious post-doctoral research fellowship at the University of Pannonia, Hungary, further enhancing his international exposure. Dr. Saghir has been actively involved in both undergraduate and postgraduate teaching, curriculum development, and research supervision. His professional journey reflects a strong commitment to academic excellence, research innovation, and institutional development within Pakistan and abroad.

Research Interest

Dr. Aamir Saghir’s research interests lie at the intersection of statistical theory and modern data-driven applications. His primary focus is on Statistical Quality Control, where he develops innovative control charts and monitoring schemes to improve process efficiency and reliability. He has extensively worked on probability models, particularly weighted and mixture distributions, contributing to the theoretical advancement of distribution theory. In recent years, Dr. Saghir has expanded his research into data science and machine learning, with a special emphasis on anomaly detection in industrial processes and high-dimensional time series analysis. His work bridges classical statistical techniques with emerging computational methods, making his research highly relevant to fields such as industrial engineering, environmental science, and cyber-physical systems. With a strong foundation in both theoretical and applied statistics, Dr. Saghir continues to explore robust and adaptive statistical methods that address real-world challenges in process monitoring, environmental modeling, and complex data analysis.

Award and Honor

Dr. Aamir Saghir has received several prestigious awards and honors throughout his academic career, reflecting his excellence in research and education. He secured first position in his M.Sc. Statistics program at Quaid-i-Azam University, highlighting his early academic distinction. He was awarded the highly competitive China Scholarship Council (CSC) scholarship for his Ph.D. studies at Zhejiang University, where he also received a Distinguished Certificate in Statistics in recognition of his outstanding doctoral work. Dr. Saghir is also an HEC-approved Ph.D. supervisor, a testament to his academic credibility and mentoring capabilities. He has contributed significantly to applied research through funded projects and has served on the Board of Studies for statistics departments at multiple universities. His research contributions have been recognized internationally, and he is actively involved in organizing academic conferences and supervising impactful survey studies, such as the socio-economic impact of telecommunications in Pakistan. These honors reflect his dedication to advancing statistical science

Research Skill

Dr. Aamir Saghir’s research interests are rooted in both theoretical and applied statistics, with a strong emphasis on Statistical Quality Control, Probability Distributions, and Data Analysis. He has developed numerous robust and adaptive control charts for process monitoring, particularly useful in industrial and manufacturing settings. His work on weighted and mixture probability distributions has contributed significantly to statistical modeling, offering improved methods for analyzing non-normal and skewed data. Recently, Dr. Saghir has broadened his research scope to include machine learning techniques for anomaly detection, reflecting a forward-thinking approach to modern data challenges. He is particularly interested in the integration of data science methods with high-dimensional time series analysis, which has important applications in environmental monitoring, healthcare, and IoT-based systems. Through his interdisciplinary approach, Dr. Saghir aims to develop statistical tools that are not only theoretically sound but also practically impactful across various scientific and engineering domains.

Publications Top Noted

  • Title: Phytoavailability of Cadmium (Cd) to Pak Choi (Brassica chinensis L.) Grown in Chinese Soils: A Model to Evaluate the Impact of Soil Cd Pollution on Potential Dietary Toxicity
    Authors: M.T. Rafiq, R. Aziz, X. Yang, W. Xiao, P.J. Stoffella, A. Saghir, M. Azam, T. Li
    Year: 2014
    Citations: 74

  • Title: Control Charts for Dispersed Count Data: An Overview
    Authors: A. Saghir, Z. Lin
    Year: 2015
    Citations: 60

  • Title: Weighted Distributions: A Brief Review, Perspective and Characterizations
    Authors: A. Saghir, G.G. Hamedani, S. Tazeem, A. Khadim
    Year: 2017
    Citations: 49

  • Title: Monitoring Process Variability Using Gini’s Mean Difference
    Authors: M. Riaz, A. Saghirr
    Year: 2007
    Citations: 47

  • Title: A Mean Deviation-Based Approach to Monitor Process Variability
    Authors: M. Riaz, A. Saghir
    Year: 2009
    Citations: 43

  • Title: A Control Chart for COM-Poisson Distribution Using a Modified EWMA Statistic
    Authors: M. Aslam, A. Saghir, L. Ahmad, C.H. Jun, J. Hussain
    Year: 2017
    Citations: 33

  • Title: Introduction to Statistical Process Control
    Authors: M. Aslam, A. Saghir, L. Ahmad
    Year: 2020
    Citations: 31

  • Title: A Flexible and Generalized Exponentially Weighted Moving Average Control Chart for Count Data
    Authors: A. Saghir, Z. Lin
    Year: 2014
    Citations: 31

  • Title: The Students’ Satisfaction in Higher Education and Its Important Factors: A Comparative Study Between Punjab and AJ&K, Pakistan
    Authors: S. Hussain, M. Jabbar, Z. Hussain, Z. Rehman, A. Saghir
    Year: 2014
    Citations: 30

  • Title: The Use of Probability Limits of COM–Poisson Charts and Their Applications
    Authors: A. Saghir, Z. Lin, S.A. Abbasi, S. Ahmad
    Year: 2013
    Citations: 30

  • Title: Monitoring Process Variation Using Modified EWMA
    Authors: A. Saghir, M. Aslam, A. Faraz, L. Ahmad, C. Heuchenne
    Year: 2020
    Citations: 28

Conclusion

Dr. Aamir Saghir is highly deserving of the Best Researcher Award, given his robust academic foundation, extensive publication record, and valuable contributions to applied statistical science. His research spans both theoretical advancements and real-world applications, and he has significantly contributed to knowledge transfer, mentorship, and institutional development. With ongoing interests in data science and anomaly detection, he holds great promise for continued leadership in research and innovation on both national and international platforms.

 

Andrei V. Zemskov | Computational Mathematics | Best Researcher Award

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Dr. Andrei V. Zemskov | Computational Mathematics | Best Researcher Award

Professor at Moscow Aviation Institute (National Research University), Russia

Andrei V. Zemskov is a highly accomplished researcher specializing in the interaction of unsteady physical fields, with a strong focus on elastic diffusion vibrations in beams and plates. Holding a Doctor of Sciences degree and serving as a professor at the Moscow Aviation Institute and leading researcher at Lomonosov Moscow State University, he has made significant contributions through numerous high-impact publications in prestigious journals and conferences. Zemskov’s work advances understanding of complex coupled thermoelastic-diffusive processes, employing sophisticated mathematical modeling and computational mechanics. He actively participates in scientific communities, holding leadership roles in academic committees and the Russian Academy of Natural Sciences. His research is characterized by originality, technical depth, and practical relevance in applied mechanics. While his publication record is strong, broader international collaboration and increased dissemination in global forums could enhance his impact further. Overall, Zemskov’s expertise, prolific scholarly output, and leadership in his field make him a strong candidate for the Best Researcher Award.

Professional Profile 

Education🎓

Andrei V. Zemskov received his foundational education in mechanics and applied mathematics, culminating in a Doctor of Sciences degree, which is a prestigious academic qualification indicating a high level of expertise and original research contribution. His advanced training was completed at leading Russian institutions, including the Moscow Aviation Institute, where he is now a professor, and Lomonosov Moscow State University, where he serves as a leading researcher. Throughout his academic journey, Zemskov focused on the study of elastic diffusion vibrations and coupled thermoelastic-diffusive processes, combining theoretical knowledge with practical applications in engineering mechanics. His education provided a solid grounding in mathematical modeling, computational mechanics, and physical field interactions, enabling him to make significant contributions to his field. This rigorous and comprehensive educational background underpins his extensive research activities and academic leadership roles, demonstrating a deep commitment to advancing science and technology through both teaching and research excellence.

Professional Experience📝

Andrei V. Zemskov has built a distinguished professional career marked by significant contributions to mechanics and applied mathematics. Currently, he is a professor at the Moscow Aviation Institute, where he combines teaching with active research, mentoring students and advancing the field of elastic diffusion vibrations. In addition to his academic role, he is a leading researcher at Lomonosov Moscow State University, where he focuses on complex thermoelastic-diffusive phenomena, applying mathematical models to solve practical engineering problems. Over the years, Zemskov has developed expertise in computational mechanics and physical field interactions, contributing to both theoretical advancements and applied research projects. His professional experience is characterized by a blend of high-level academic instruction and innovative research, positioning him as an influential figure in his discipline. Through collaborations, publications, and leadership roles, Zemskov continues to shape the scientific community, driving forward knowledge in elastic diffusion and coupled processes with a strong emphasis on interdisciplinary applications.

Research Interest🔎

Andrei V. Zemskov’s research interests lie primarily in the field of mechanics, focusing on the complex interactions between elastic, thermal, and diffusive processes. His work explores the behavior of elastic diffusion vibrations and thermoelastic-diffusive phenomena, aiming to develop advanced mathematical models that accurately describe these coupled physical processes. Zemskov is particularly interested in how these interactions affect materials and structures, which has significant implications for engineering applications and materials science. His research combines theoretical analysis with computational methods to better understand and predict the behavior of materials under various physical influences. By investigating the interplay between mechanical vibrations, heat transfer, and diffusion, he contributes to the development of innovative solutions in applied mechanics and engineering. His interdisciplinary approach bridges gaps between physics, mathematics, and engineering, making his work valuable for designing safer, more efficient materials and structures in aerospace, mechanical engineering, and related fields.

Award and Honor🏆

Andrei V. Zemskov has been recognized for his outstanding contributions to the field of mechanics through several prestigious awards and honors. His innovative research on elastic diffusion vibrations and thermoelastic-diffusive processes has earned him acclaim within the scientific community, highlighting his role as a leading expert in applied mechanics. Zemskov’s work has been acknowledged by various academic institutions and professional societies, reflecting the impact and significance of his studies. He has received awards for excellence in research, demonstrating his commitment to advancing knowledge and practical applications in engineering and physics. In addition to formal accolades, Zemskov is frequently invited to present at international conferences and serve as a reviewer for high-impact journals, further emphasizing his standing as a respected scholar. These honors not only celebrate his past achievements but also support his ongoing efforts to push the boundaries of science and technology in his specialized areas of research.

Research Skill🔬

Andrei V. Zemskov possesses exceptional research skills that have significantly advanced the understanding of elastic diffusion vibrations and thermoelastic-diffusive phenomena. His expertise includes mathematical modeling, analytical problem-solving, and the application of complex differential equations to describe physical processes in elastic and thermoelastic materials. Zemskov demonstrates strong proficiency in interdisciplinary research, integrating principles from mechanics, physics, and materials science to develop innovative solutions for challenging engineering problems. He is skilled in designing experiments, conducting simulations, and interpreting data to validate theoretical models. His ability to critically analyze literature and synthesize new ideas has led to impactful publications in reputable scientific journals. Furthermore, Zemskov is adept at collaborating across disciplines and mentoring junior researchers, fostering a productive research environment. His meticulous approach and deep technical knowledge enable him to contribute original insights to his field, making him a valuable asset in advancing both fundamental theory and practical applications in mechanical and thermal sciences.

Conclusion💡

Andrei V. Zemskov is a highly qualified and accomplished researcher with a strong and sustained publication record in a specialized and technically complex domain of applied mechanics. His leadership roles and academic stature reflect peer recognition and impact within the scientific community.

Given his demonstrated excellence in research output, academic leadership, and specialized knowledge, he is well-suited for the Best Researcher Award, particularly in categories recognizing depth of expertise and contributions to mechanical sciences. Strengthening interdisciplinary impact and global visibility would further bolster his profile but do not detract from his candidacy as a leading researcher.

Publications Top Noted✍️

  • Authors: A.V. Zemskov, Andrei V.
    Year: 2025
    Title: Unsteady thermoelastic-diffusive vibrations of a Bernoulli-Euler beam on an elastic foundation
    Journal: European Journal of Mechanics, A/Solids

  • Authors: A.V. Zemskov, Andrei V., D.V. Tarlakovskiǐ, Dmitry V.
    Year: 2025
    Title: On the Issue of Variational Formulation of Problems of Generalized GN-Thermoelasticity
    Journal: Mathematical Models and Computer Simulations

  • Authors: A.V. Zemskov, Andrei V., A.V. Vestyak, A. V., D.V. Tarlakovskiǐ, Dmitry V.
    Year: 2024
    Title: A Model of Unsteady Mechanodiffusion Vibrations of a Rectangular Orthotropic Timoshenko Plate with Mixed Edge Fixing
    Journal: St. Petersburg State Polytechnical University Journal: Physics and Mathematics

  • Authors: A.V. Zemskov, Andrei V., D.V. Tarlakovskiǐ, Dmitry V.
    Year: 2024
    Title: Modeling Unsteady Thermomechanodiffusion Vibrations of a Hingedly Supported Timoshenko Beam
    Journal: Journal of Engineering Physics and Thermophysics

  • Authors: A.V. Zemskov, Andrei V., D.V. Tarlakovskiǐ, Dmitry V.
    Year: 2024
    Title: Sturm–Liouville Problem for a One-Dimensional Thermoelastic Operator in Cartesian, Cylindrical, and Spherical Coordinate Systems
    Journal: Computational Mathematics and Mathematical Physics

Sat Gupta | Mathematics | Best Researcher Award

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Dr. Sat Gupta | Mathematics | Best Researcher Award

Professor at UNC Greensboro, United States

Dr. Sat Narain Gupta, a Professor of Statistics at the University of North Carolina at Greensboro, is a distinguished researcher specializing in sampling techniques, time series analysis, and biostatistics. Holding dual Ph.D. degrees in Statistics and Mathematics, he has made significant contributions to statistical theory and interdisciplinary research. A Fellow of the American Statistical Association, he has received numerous accolades, including the UNCG Undergraduate Research Mentoring Award (2024) and the Lifetime Achievement Award from the India Association of Statistics and Reliability (2023). He has secured multiple NSF grants, led statistical research initiatives, and served as Editor-in-Chief for the Journal of Statistical Theory and Practice. With extensive academic leadership experience, including department head and graduate program director roles, he has also mentored students at various levels. His impact on statistical education, research, and professional service makes him a strong candidate for the Best Researcher Award, though continued large-scale funded research could further solidify his case.

Professional Profile 

Education

Dr. Sat Narain Gupta holds dual Ph.D. degrees in Statistics and Mathematics, reflecting his deep expertise in theoretical and applied statistical research. He earned his Ph.D. in Statistics from a prestigious institution, where he specialized in advanced sampling techniques, time series analysis, and biostatistics. His second Ph.D. in Mathematics further strengthened his analytical foundation, allowing him to bridge the gap between statistical theory and mathematical applications. Throughout his academic journey, Dr. Gupta has pursued rigorous research, contributing significantly to statistical methodologies and interdisciplinary studies. His educational background has not only shaped his research but also positioned him as a respected mentor and educator. As a Professor of Statistics at the University of North Carolina at Greensboro, his advanced training continues to influence his teaching and mentoring, guiding students and researchers in statistical sciences. His dual expertise uniquely qualifies him for leading statistical research initiatives and educational advancements.

Professional Experience

Dr. Sat Narain Gupta is a distinguished Professor of Statistics at the University of North Carolina at Greensboro, where he has been instrumental in advancing statistical research and education. With a strong academic foundation in statistics and mathematics, he has extensive experience in teaching, mentoring, and developing innovative statistical methodologies. His professional career spans decades of contributions to theoretical and applied statistics, including sampling techniques, time series analysis, and biostatistics. Dr. Gupta has actively collaborated with researchers across disciplines, applying statistical models to solve complex real-world problems. He has also supervised numerous graduate students, guiding them in cutting-edge statistical research. Beyond academia, he has served as a consultant for various organizations, leveraging his expertise to enhance data-driven decision-making. His commitment to research, education, and interdisciplinary collaboration has solidified his reputation as a leading figure in statistical sciences, making significant contributions to both academia and industry.

Research Interest

Dr. Sat Narain Gupta’s research interests lie at the intersection of theoretical and applied statistics, focusing on areas such as sampling techniques, time series analysis, biostatistics, and statistical inference. He is particularly interested in developing innovative statistical methodologies that enhance data analysis across diverse fields, including healthcare, economics, and environmental sciences. His work delves into robust estimation techniques, predictive modeling, and the application of statistical algorithms to large and complex datasets. Dr. Gupta is also deeply engaged in interdisciplinary research, collaborating with experts from various domains to apply statistical tools for solving real-world challenges. His contributions have been widely recognized in academic circles, with numerous publications in high-impact journals. He continues to explore emerging trends in machine learning and data science, integrating statistical principles to improve model accuracy and reliability. Through his research, Dr. Gupta aims to advance statistical knowledge and its practical applications in decision-making processes.

Award and Honor

Dr. Sat Narain Gupta has received numerous awards and honors in recognition of his outstanding contributions to the field of statistics and data science. His accolades include prestigious research excellence awards, best paper awards in international conferences, and recognition from esteemed statistical organizations. He has been honored for his significant advancements in statistical methodologies, particularly in sampling techniques, time series analysis, and biostatistics. Dr. Gupta has also received fellowships from renowned academic institutions, acknowledging his dedication to innovative research and education. His contributions to interdisciplinary collaborations have earned him accolades from various scientific communities. In addition to his research achievements, he has been recognized for his mentorship and leadership in academia, guiding students and researchers toward excellence. Through his work, Dr. Gupta has made a lasting impact on the field, and his awards serve as a testament to his dedication, expertise, and influence in statistical research and applications.

Research Skill

Dr. Sat Narain Gupta possesses exceptional research skills in statistical analysis, data modeling, and computational techniques. His expertise spans diverse areas, including sampling methods, time series analysis, biostatistics, and predictive modeling. He is proficient in applying advanced statistical tools and programming languages such as R, Python, and SAS to analyze complex datasets. His strong analytical thinking enables him to develop innovative methodologies for real-world problems in various domains, including healthcare, finance, and environmental sciences. Dr. Gupta excels in designing rigorous research studies, interpreting data with precision, and deriving meaningful insights that contribute to scientific advancements. His ability to integrate theoretical knowledge with practical applications has led to numerous impactful publications and collaborations. Additionally, his expertise in statistical software and machine learning techniques enhances his ability to work on interdisciplinary projects. His research skills reflect his commitment to excellence, innovation, and the advancement of statistical science in modern applications.

Conclusion

Dr. Sat Narain Gupta is an outstanding candidate for the Best Researcher Award. His long-standing contributions to statistical research, mentorship, and leadership make him highly deserving. His fellowships, awards, and research funding demonstrate an exceptional career in advancing the field of statistics. While some areas like high-impact publications and industry collaborations could be further developed, his academic impact and leadership in statistical sciences are exemplary.

Publications Top Noted

  • Title: Nurses’ presenteeism and its effects on self-reported quality of care and costs
    Authors: SA Letvak, CJ Ruhm, SN Gupta
    Year: 2012
    Citations: 461

  • Title: Estimation of sensitivity level of personal interview survey questions
    Authors: S Gupta, B Gupta, S Singh
    Year: 2002
    Citations: 247

  • Title: On improvement in estimating the population mean in simple random sampling
    Authors: S Gupta, J Shabbir
    Year: 2008
    Citations: 204

  • Title: Pressure ulcers: factors contributing to their development in the OR
    Authors: D Engels, M Austin, L McNichol, J Fencl, S Gupta, H Kazi
    Year: 2016
    Citations: 166

  • Title: Mean and sensitivity estimation in optional randomized response models
    Authors: S Gupta, J Shabbir, S Sehra
    Year: 2010
    Citations: 138

  • Title: On estimating finite population mean in simple and stratified random sampling
    Authors: J Shabbir, S Gupta
    Year: 2010
    Citations: 105

  • Title: Variance estimation in simple random sampling using auxiliary information
    Authors: S Gupta, J Shabbir
    Year: 2008
    Citations: 100

  • Title: Predictors of Student Success in Entry-Level Undergraduate Mathematics Courses
    Authors: S Gupta, DE Harris, NM Carrier, P Caron
    Year: 2006
    Citations: 94

  • Title: Estimation of the mean of a sensitive variable in the presence of auxiliary information
    Authors: S Gupta, J Shabbir, R Sousa, P Corte-Real
    Year: 2012
    Citations: 89

  • Title: Differences in health, productivity and quality of care in younger and older nurses
    Authors: S Letvak, C Ruhm, S Gupta
    Year: 2013
    Citations: 88