Eugene Morozov | Earth and Planetary Sciences | Research Excellence Award

Published on by Global Scholar Awards

Research Excellence Award

Eugene Morozov, Shirshov Institute of Oceanology, Russia

Eugene Morozov
Affiliation Shirshov Institute of Oceanology
Country Russia
Scopus ID 56133208000
Documents 224
Citations 2,467
h-index 26
Subject Area Earth and Planetary Sciences
Event Global Scholar Awards
ORCID 0000-0002-0251-3454

Eugene Morozov is associated with physical oceanography and research on internal waves, ocean circulation, deep-water flows, and hydrological processes. His documented work includes observations and analyses of internal tides, abyssal channels, Antarctic Bottom Water, and oceanic mixing. The Shirshov Institute identifies internal-tide generation and deep Atlantic flows among his research themes. [1] His publication record also includes book-length treatments of internal tides and abyssal Atlantic channels. [2]

Abstract

Eugene Morozov is a physical oceanographer affiliated with the Shirshov Institute of Oceanology whose research addresses internal waves, internal tides, abyssal circulation, deep-water transport, and oceanic hydrological processes. His documented studies combine field observations, hydrophysical measurements, interpretation, and numerical approaches to investigate ocean dynamics across regional and global settings. Research themes include tidal wave generation, propagation and dissipation, topographically influenced mixing, Antarctic Bottom Water, and flows through deep Atlantic fracture zones. His publications include journal articles, scientific books, and research contributions covering the Atlantic, Arctic, Pacific, Indian, and Southern oceans and related marine environments worldwide. [1]

Keywords

Internal tides, internal waves, abyssal circulation, Antarctic Bottom Water, deep ocean currents, ocean mixing, submarine ridges, fracture zones, Atlantic Ocean, Southern Ocean, Arctic Ocean, physical oceanography, hydrological processes, tidal energy, ocean dynamics, deep-water transport, stratified flows, marine hydrodynamics, ocean circulation, geophysical fluids. These terms reflect recurring subjects documented across Morozov’s publications and institutional research profile. [1] [2]

Introduction

Eugene Morozov has developed a research profile within physical oceanography focused on mechanisms governing oceanic motion and water-mass transport. The Shirshov Institute describes his work on internal tides, large-scale circulation, and abyssal flows, including investigations of deep Atlantic channels and fracture zones. [1] His studies provide observational perspectives on processes linking tides, stratification, topography, mixing, and circulation.

Research Profile

Eugene Morozov is identified with the Shirshov Institute of Oceanology in Moscow and has worked extensively in observational oceanography. Springer describes his research as concentrating on oceanic internal waves and large-scale circulation, with later work emphasizing abyssal Atlantic flows and circulation through deep fractures. [2] His academic record includes field measurements, data analysis, interpretation, and numerical modeling.

Research Contributions

Eugene Morozov has contributed to understanding internal-tide generation, propagation, and dissipation, including the influence of submarine ridges and oceanic topography. Institutional records also document research into abyssal channels and Antarctic Bottom Water transport. [1] Recent work includes observations of Antarctic Bottom Water in the Vema Fracture Zone, connecting deep circulation with measured oceanographic conditions. [3]

Publications

Eugene Morozov has published research articles, books, and scientific contributions addressing internal tides, ocean circulation, deep-water transport, and hydrological processes. His documented bibliography includes Semidiurnal Internal Wave Global Field, studies of internal tides in different oceanic regions, and the book Abyssal Channels in the Atlantic Ocean: Water Structure and Flows. [1] [2]

Research Impact

Eugene Morozov has produced research relevant to physical oceanography through sustained investigation of internal waves, tidal processes, deep circulation, and water-mass transport. His studies span multiple oceanic regions and combine observational datasets with physical interpretation. The supplied bibliometric profile reports 224 documents, 2,467 citations, and an h-index of 26; these figures should be understood as profile-specific metrics that may change over time.

Award Suitability

Eugene Morozov presents documented characteristics relevant to consideration for a research recognition program, including an established publication record, sustained work in physical oceanography, and research addressing internal waves and deep-ocean circulation. His profile can be evaluated against an award’s published criteria, evidence requirements, research contribution standards, bibliometric measures, and field-specific expectations without presuming an award outcome.

Conclusion

Eugene Morozov has an established research profile in physical oceanography, particularly in internal waves, tidal processes, abyssal circulation, and deep-water transport. Institutional and scholarly sources document contributions across several oceanic regions and research approaches. His supplied bibliometric information provides additional context for academic recognition assessment. [1] [2]

References

  1. Shirshov Institute of Oceanology, Russian Academy of Sciences. (n.d.). Eugene Morozov: Scientific directions and publications.
    https://ocean.ru/en/index.php/scientific-directions/fizicheskoe-napravlenie/429-morozov-evgeniy
  2. Morozov, E. G. (2018). Oceanic Internal Tides: Observations, Analysis and Modeling: A Global View. Springer.
    https://doi.org/10.1007/978-3-319-73159-9
  3. Morozov, E. G., et al. (2023). Antarctic Bottom Water in the Vema Fracture Zone. Journal of Geophysical Research: Oceans, 128(8). https://doi.org/10.1029/2023JC019967
  4. Khimchenko, E. E., Kozlov, I. E., Myslenkova, K. P., Frey, D. I., Myslenkov, S. A., Morozov, E. G., & Osadchiev, A. A. (Year). Tidally generated internal waves in the Vilkitsky Strait, Arctic Ocean.
    https://doi.org/10.1029/2025JC022805
  5. Morozov, E., Frey, D., Kozlov, I., Ambrosimov, A., Kovalev, G., & Fofanov, D. (2025). Semidiurnal internal tide north and south of the critical latitude in the Kara Sea.
    https://doi.org/10.3390/jmse13122357

Aditya Kuamar Thakur | Earth and Planetary Sciences | Best Researcher Award

Published on by Global Scholar Awards

Best Researcher Award

Aditya Kuamar Thakur
Affiliation Indian Institute of Technology Roorkee
Country India
Google Scholar View Profile
Documents 31
Citations 151
h-index 8
Subject Area Earth and Planetary Sciences
Event Global Scholar Awards
ORCID 0000-0003-1446-6517

Aditya Kuamar Thakur is associated with the Indian Institute of Technology Roorkee and works across remote sensing, geospatial analysis, environmental monitoring, mining applications, and Earth observation. His research profile includes satellite-based assessment, spatial modelling, interferometric methods, environmental datasets, and computational approaches applied to Earth-system and engineering questions. [1]

Abstract

Aditya Kumar Thakur is a researcher affiliated with the Indian Institute of Technology Roorkee whose work spans remote sensing, geospatial analysis, environmental monitoring, mining applications, atmospheric pollution, hydrology, and Earth observation. His publication record includes studies using satellite imagery, interferometric techniques, statistical modelling, machine learning, and spatial analysis to investigate ground deformation, air quality, vegetation, water resources, snow cover, and coal related phenomena. The supplied profile records 31 documents, 151 citations, and an h index of 8. His research illustrates interdisciplinary applications of geospatial technologies for understanding environmental processes, infrastructure conditions, natural resources, and spatially distributed Earth system changes regionally.

Keywords

Aditya Kumar Thakur’s publication themes support keywords including remote sensing, geospatial analysis, Earth observation, Persistent Scatterer InSAR, ground deformation, mining geotechnics, nitrogen dioxide, air pollution, Sentinel-2, Sentinel-5P, NDVI, NDWI, precipitation estimation, snow cover, machine learning, hyperspectral analysis, coal-fire modelling, environmental monitoring, hydrology, analysis, satellite-based assessment, regional, climate, and risk assessment.

Introduction

Earth observation, remote sensing, geospatial science, environmental assessment, and civil engineering applications. His reported research examines spatial and temporal patterns in environmental systems, mining landscapes, atmospheric pollutants, water resources, vegetation, snow cover, and land deformation, using quantitative geospatial methods and satellite datasets. [2]

Research Profile

Aditya Kumar Thakur is associated with the Indian Institute of Technology Roorkee and appears in research profiles as a researcher in Civil Engineering. His expertise includes remote sensing, coal mining, geospatial analysis, environmental monitoring, and spatial modelling. Listed academic indicators supplied for this article include 31 documents, 151 citations, and h-index 8 currently. [1]

Research Contributions

Aditya Kumar Thakur contributes to research applying satellite observations and computational methods to environmental and infrastructure questions. His studies address Persistent Scatterer Interferometric Synthetic Aperture Radar, nitrogen dioxide mapping, vegetation and water indices, precipitation estimation, snow dynamics, coal-fire modelling, and hyperspectral assessment; demonstrating methodological use across Earth-system and engineering problems. [2] [3]

Publications

Aditya Kumar Thakur publishes research covering ground deformation, remote sensing, atmospheric pollution, vegetation and surface-water dynamics, snow-cover prediction, precipitation estimation, coal-fire probability, and hyperspectral material assessment. Publications include studies in Scientific Reports, Natural Resources Research, Journal of Earth System Science, and related Earth-observation journals, reflecting interdisciplinary applications of geospatial data. [2] [4] [5]

Research Impact

Aditya Kumar Thakur’s research provides evidence relevant to environmental monitoring, mining-area assessment, pollution analysis, water-resource understanding, and land-surface change detection. The use of satellite observations and computational modelling can support reproducible assessments where field observations are spatially limited. Citation indicators supplied for this profile provide one measure of scholarly visibility. [1]

Award Suitability

Aditya Kumar Thakur’s research profile aligns with recognition themes emphasizing interdisciplinary research, geospatial innovation, environmental observation, and applied Earth-science investigation. His reported publication portfolio combines remote sensing, statistical analysis, machine learning, interferometric methods, and environmental datasets. Award consideration may therefore examine methodological rigor, originality, publication quality, research influence, and relevance.

Conclusion

Aditya Kumar Thakur presents a research profile centered on remote sensing, geospatial analysis, environmental monitoring, and Earth-system applications. His documented studies address diverse problems including land deformation, atmospheric pollution, hydrology, vegetation, snow, mining, and materials. The supplied bibliometric indicators and publication themes provide a factual basis for academic recognition review.

References

  1. ResearchGate. (n.d.). Aditya Thakur: Research profile. Indian Institute of Technology Roorkee.
    https://www.researchgate.net/profile/Aditya-Thakur-19
  2. Thakur, A. K., Garg, R. D., Jain, K., & Kumar, D. (2025). Classical and quantum approaches to probabilistic modeling of fire occurrence in anthracite grade coal. Scientific Reports, 15, 34003. https://doi.org/10.1038/s41598-025-12405-9
  3. Thakur, A. K., Attri, L., Garg, R. D., Jain, K., Kumar, D., & Chowdhury, A. (2024). Temporal and Spatial Dynamics of Subsidence in Eastern Jharia, India. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-X-4-2024-349-2024
  4. Thakur, A. K., Srivastava, A., Garg, R. D., & Jain, K. (2026). A comprehensive assessment of vegetation and water resource dynamics in Bihar using Sentinel-2 derived NDVI and NDWI indices. Journal of Earth System Science, 135(1). https://doi.org/10.1007/s12040-025-02718-8
  5. Tiwari, H., Thakur, A. K., & Garg, R. D. (2026). Enhanced precipitation estimation in a Himalayan river basin through the fusion of multi-source datasets using various machine learning techniques. Physics and Chemistry of the Earth, Parts A/B/C, 144, 104418.  https://doi.org/10.1016/j.pce.2026.104418

Giulia Cipriano | Earth and Planetary Sciences | Innovative Research Award

Published on by Global Scholar Awards

Innovative Research Award

Giulia Cipriano
University of Bari Aldo Moro, Italy

Giulia Cipriano
Affiliation University of Bari Aldo Moro
Country Italy
Scopus ID 57189524657
Documents 91
Citations 1,336
h-index 23
Subject Area Earth and Planetary Sciences
Event Global Scholar Awards
ORCID 0000-0002-2495-5165

Giulia Cipriano is a researcher affiliated with the University of Bari Aldo Moro whose scholarly work connects marine environmental science, biodiversity assessment, cetacean ecology, ecological modelling, and computational approaches. Her indexed research includes studies of Mediterranean marine ecosystems, species behaviour, habitat relationships, conservation, and data-driven ecological analysis, supporting interdisciplinary investigation and evidence-based environmental understanding.[1]

Abstract

Giulia Cipriano is a marine and environmental researcher whose publications examine Mediterranean biodiversity, cetacean ecology, marine habitats, ecological processes, and computational approaches to environmental analysis. Her research record demonstrates interdisciplinary engagement across biology, environmental science, marine conservation, ecological modelling, and machine learning. Published studies involving Cipriano address species identification, habitat relationships, feeding behaviour, environmental drivers, and ecosystem assessment. Her work combines field observations with quantitative and computational methods, contributing evidence relevant to marine monitoring and conservation planning. The profile presents a scholarly basis for consideration within an innovative research recognition framework focused on scientific contribution, methodological integration, and research impact.[1]

Keywords

Giulia Cipriano is associated with publication themes including machine learning, Random Forest, species distribution models, cetacean ecology, marine biodiversity, Mediterranean ecosystems, ecological monitoring, habitat modelling, marine conservation, dolphin photo-identification, computer vision, feeding behaviour, environmental drivers, marine spatial planning, and biodiversity assessment. These keywords reflect recurring methodological and ecological subjects represented across her documented scholarly publications.[2]

Introduction

Giulia Cipriano works within a research context where marine ecology increasingly depends on interdisciplinary observation, quantitative modelling, and computational interpretation. Her publication record includes investigations of cetaceans and Mediterranean marine environments, addressing ecological behaviour, habitat use, biodiversity, and conservation questions. Such research contributes to understanding complex relationships between organisms and changing environmental conditions.[3]

Research Profile

Giulia Cipriano has a documented research profile associated with the University of Bari Aldo Moro and marine environmental research. Available scholarly records identify interests encompassing conservation biology, marine biodiversity, marine mammals, fisheries management, and marine ecology. Her indexed publications demonstrate collaboration across biological, computational, environmental, and oceanographic research domains.[1]

Research Contributions

Giulia Cipriano contributes to research on marine megafauna through studies integrating ecological observations with analytical and computational techniques. Her collaborative publications include automated photo-identification of Risso’s dolphins and modelling of cetacean feeding behaviour. These contributions illustrate the application of computer vision and machine learning to ecological questions involving biodiversity monitoring and conservation.[4]

Publications

Giulia Cipriano appears as a co-author in peer-reviewed research addressing marine ecology, cetacean monitoring, environmental relationships, and computational analysis. Representative publications include work on SIFT-based photo-identification of Risso’s dolphins, convolutional neural networks for dolphin identification, and machine-learning modelling of cetacean feeding behaviour in the Central-Eastern Mediterranean Sea. These studies demonstrate methodological breadth across ecology and data-driven research.[4][5]

Research Impact

Giulia Cipriano has a research record indexed through scholarly databases and represented across collaborative publications. The supplied profile reports 91 documents, 1,336 citations, and an h-index of 23, while current public indexing records may display different totals as databases update. Her publications have addressed practical ecological monitoring challenges and the interpretation of environmental influences on marine species.[1]

Award Suitability

Giulia Cipriano presents characteristics relevant to an innovative research recognition framework through interdisciplinary publication activity, marine ecological investigation, and the application of computational methods to biological questions. Her documented work combines field-derived evidence with machine learning and computer vision, providing a reasonable scholarly basis for consideration under an award emphasizing methodological innovation and environmental research contribution.[4]

Conclusion

Giulia Cipriano represents an interdisciplinary research profile centred on marine environmental science, cetacean ecology, biodiversity, conservation, and computational analysis. Her documented publications demonstrate the integration of ecological knowledge with emerging analytical technologies, including machine learning and computer vision. On the supplied bibliometric information and published research evidence, her profile is suitable for consideration within an innovative research recognition context.[1]

References

  1. Elsevier. (n.d.). Giulia Cipriano — ScienceDirect author information and Scopus author details, Author ID 57189524657. ScienceDirect.
    https://www.sciencedirect.com/author/57189524657/giulia-cipriano
  2. ResearchGate. (n.d.). Giulia Cipriano research profile and publications. ResearchGate.
    https://www.researchgate.net/profile/Giulia-Cipriano
  3. ORCID. (n.d.). ORCID record: Giulia Cipriano, ORCID iD 0000-0002-2495-5165. ORCID.
    https://orcid.org/0000-0002-2495-5165
  4. Renò, V., Dimauro, G., Labate, G., Stella, E., Fanizza, C., Cipriano, G., Carlucci, R., & Maglietta, R. (2019). A SIFT-based software system for the photo-identification of the Risso’s dolphin. Ecological Informatics, 50, 95–101.
    https://doi.org/10.1016/j.ecoinf.2019.01.006
  5. Cherubini, C., Cipriano, G., Saccotelli, L., Dimauro, G., Coppini, G., Carlucci, R., Fanizza, C., & Maglietta, R. (2025). Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea. Ecological Informatics, 86, 103066.
    https://doi.org/10.1016/j.ecoinf.2025.103066