Dmitry Beletsky

5.5k total citations
62 papers, 2.6k citations indexed

About

Dmitry Beletsky is a scholar working on Oceanography, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Dmitry Beletsky has authored 62 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oceanography, 22 papers in Ecology and 19 papers in Nature and Landscape Conservation. Recurrent topics in Dmitry Beletsky's work include Oceanographic and Atmospheric Processes (31 papers), Fish Ecology and Management Studies (19 papers) and Aquatic Invertebrate Ecology and Behavior (12 papers). Dmitry Beletsky is often cited by papers focused on Oceanographic and Atmospheric Processes (31 papers), Fish Ecology and Management Studies (19 papers) and Aquatic Invertebrate Ecology and Behavior (12 papers). Dmitry Beletsky collaborates with scholars based in United States, Canada and China. Dmitry Beletsky's co-authors include David J. Schwab, David J. Schwab, James H. Saylor, Nathan Hawley, Joseph V. DePinto, Yerubandi R. Rao, Daniel K. Rucinski, Donald Scavia, Jia Wang and Barry M. Lesht and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association and Environmental Science & Technology.

In The Last Decade

Dmitry Beletsky

60 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dmitry Beletsky United States 32 1.1k 891 782 679 559 62 2.6k
Benjamin L. Peierls United States 25 2.0k 1.9× 1.4k 1.6× 426 0.5× 1.0k 1.5× 408 0.7× 34 3.2k
Yerubandi R. Rao Canada 28 937 0.9× 888 1.0× 782 1.0× 1.1k 1.7× 323 0.6× 68 2.3k
Lishan Ran China 29 962 0.9× 790 0.9× 230 0.3× 542 0.8× 396 0.7× 88 2.6k
Cory P. McDonald United States 17 1.8k 1.7× 877 1.0× 367 0.5× 1.1k 1.6× 536 1.0× 26 3.0k
Nathan Hawley United States 23 759 0.7× 600 0.7× 318 0.4× 340 0.5× 346 0.6× 61 1.6k
Ian D. Jones United Kingdom 31 1.6k 1.5× 851 1.0× 819 1.0× 1.7k 2.5× 422 0.8× 58 2.9k
Georgiy Kirillin Germany 33 1.3k 1.2× 636 0.7× 308 0.4× 923 1.4× 1.3k 2.4× 89 2.9k
Marco Toffolon Italy 28 565 0.5× 1.1k 1.2× 670 0.9× 341 0.5× 503 0.9× 74 2.5k
William C. Boicourt United States 28 2.1k 2.0× 853 1.0× 310 0.4× 469 0.7× 794 1.4× 55 2.9k
Jeremy M. Testa United States 32 2.4k 2.3× 1.0k 1.2× 259 0.3× 555 0.8× 286 0.5× 82 3.2k

Countries citing papers authored by Dmitry Beletsky

Since Specialization
Citations

This map shows the geographic impact of Dmitry Beletsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dmitry Beletsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Beletsky more than expected).

Fields of papers citing papers by Dmitry Beletsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry Beletsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dmitry Beletsky. The network helps show where Dmitry Beletsky may publish in the future.

Co-authorship network of co-authors of Dmitry Beletsky

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Beletsky. A scholar is included among the top collaborators of Dmitry Beletsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitry Beletsky. Dmitry Beletsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Yinglong, Chin H. Wu, Dmitry Beletsky, et al.. (2025). Cross-scale prediction for the Laurentian Great Lakes. Ocean Modelling. 194. 102512–102512. 1 indexed citations
2.
Zhang, Yinglong, Chin H. Wu, Eric J. Anderson, et al.. (2024). Debunking common myths in coastal circulation modeling. Ocean Modelling. 190. 102401–102401. 5 indexed citations
3.
Anderson, Eric J., et al.. (2023). Simulating flood events at the Twin Ports of Duluth-Superior using a linked hydrologic-hydrodynamic framework. Ocean Dynamics. 73(7). 433–447. 2 indexed citations
4.
Beletsky, Dmitry, Jesse Feyen, William H. Saunders, et al.. (2023). Development and skill assessment of a real-time hydrologic-hydrodynamic-wave modeling system for Lake Champlain flood forecasting. Ocean Dynamics. 73(5). 231–248. 3 indexed citations
5.
Beletsky, Dmitry, et al.. (2021). Modeling a Large Coastal Upwelling Event in Lake Superior. Journal of Geophysical Research Oceans. 126(5). 9 indexed citations
6.
Rowe, Mark D., Eric J. Anderson, Dmitry Beletsky, et al.. (2019). Coastal Upwelling Influences Hypoxia Spatial Patterns and Nearshore Dynamics in Lake Erie. Journal of Geophysical Research Oceans. 124(8). 6154–6175. 53 indexed citations
7.
Beletsky, Dmitry, Edward S. Rutherford, Jonathan M. Bossenbroek, et al.. (2017). Predicting spread of aquatic invasive species by lake currents. Journal of Great Lakes Research. 43(3). 14–32. 20 indexed citations
8.
Beletsky, Dmitry, Nathan Hawley, & Yerubandi R. Rao. (2013). Modeling summer circulation and thermal structure of Lake Erie. Journal of Geophysical Research Oceans. 118(11). 6238–6252. 84 indexed citations
9.
Hawley, Nathan, et al.. (2013). Sediment resuspension in Saginaw Bay. Journal of Great Lakes Research. 40. 18–27. 13 indexed citations
10.
Hamidi, Sajad Ahmad, et al.. (2012). Hydrodynamic Model for Green Bay, Lake Michigan. World Environmental And Water Resources Congress 2012. 29. 1438–1446. 5 indexed citations
11.
Stroud, Jonathan, Michael L. Stein, Barry M. Lesht, David J. Schwab, & Dmitry Beletsky. (2010). An Ensemble Kalman Filter and Smoother for Satellite Data Assimilation. Journal of the American Statistical Association. 105(491). 978–990. 45 indexed citations
12.
Phanikumar, Mantha S., et al.. (2009). Budget Analysis of Escherichia coli at a Southern Lake Michigan Beach. Environmental Science & Technology. 44(3). 1010–1016. 56 indexed citations
13.
Stroud, Jonathan, Barry M. Lesht, David J. Schwab, Dmitry Beletsky, & Michael L. Stein. (2009). Assimilation of satellite images into a sediment transport model of Lake Michigan. Water Resources Research. 45(2). 37 indexed citations
14.
McCormick, Michael, et al.. (2008). Tracking the Surface Flow in Lake Champlain. Journal of Great Lakes Research. 34(4). 721–730. 1 indexed citations
15.
Beletsky, Dmitry, David J. Schwab, Michael McCormick, et al.. (2000). Hydrodynamic modeling for the 1998 Lake Michigan Coastal Turbidity Plume Event. Estuarine and Coastal Modeling. 597–613. 6 indexed citations
16.
Schwab, David J., et al.. (2000). The 1998 Coastal Turbidity Plume in Lake Michigan. Estuarine Coastal and Shelf Science. 50(1). 49–58. 42 indexed citations
17.
Beletsky, Dmitry & David J. Schwab. (1998). Modeling Thermal Structure and Circulation in Lake Michigan. Estuarine and Coastal Modeling. 511–522. 4 indexed citations
18.
Schwab, David J. & Dmitry Beletsky. (1998). Propagation of Kelvin waves along irregular coastlines in finite-difference models. Advances in Water Resources. 22(3). 239–245. 23 indexed citations
19.
Beletsky, Dmitry, et al.. (1994). Hydrodynamics of Lakes Ladoga and Onega. Water Quality Research Journal. 29(2-3). 365–384. 4 indexed citations
20.
Науменко, М. А., et al.. (1994). Investigations of the hydrobiological situation in Lake Onega using joint spaceborne radar, airborne and in situ measurements. International Journal of Remote Sensing. 15(10). 2039–2049. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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