Dmitry Sheinin

1.8k total citations
8 papers, 406 citations indexed

About

Dmitry Sheinin is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change. According to data from OpenAlex, Dmitry Sheinin has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 5 papers in Oceanography and 4 papers in Global and Planetary Change. Recurrent topics in Dmitry Sheinin's work include Tropical and Extratropical Cyclones Research (4 papers), Ocean Waves and Remote Sensing (4 papers) and Climate variability and models (4 papers). Dmitry Sheinin is often cited by papers focused on Tropical and Extratropical Cyclones Research (4 papers), Ocean Waves and Remote Sensing (4 papers) and Climate variability and models (4 papers). Dmitry Sheinin collaborates with scholars based in United States. Dmitry Sheinin's co-authors include Dmitry Chalikov, Vijay Tallapragada, Biju Thomas, Richard M. Yablonsky, Lígia Bernardet, Isaac Ginis, K. Arpe, R. T. Wetherald, W. Lawrence Gates and G. J. Boer and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Computational Physics and Journal of Atmospheric and Oceanic Technology.

In The Last Decade

Dmitry Sheinin

8 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmitry Sheinin United States	7	339	237	197	59	9	8	406
Richard M. Yablonsky United States	9	438 1.3×	254 1.1×	307 1.6×	32 0.5×	3 0.3×	13	466
L. St. Laurent United States	8	211 0.6×	161 0.7×	366 1.9×	32 0.5×	6 0.7×	11	389
Robert W. Fett United States	11	337 1.0×	235 1.0×	239 1.2×	21 0.4×	3 0.3×	30	441
Lígia Bernardet United States	11	413 1.2×	291 1.2×	118 0.6×	20 0.3×	3 0.3×	28	441
T. H. Guymer United Kingdom	10	189 0.6×	81 0.3×	229 1.2×	58 1.0×	11 1.2×	29	305
Andy Pickering United States	8	193 0.6×	127 0.5×	450 2.3×	40 0.7×	21 2.3×	8	469
J. Dominique Möller Germany	8	371 1.1×	224 0.9×	214 1.1×	29 0.5×		10	375
Maki Nagasawa Japan	11	231 0.7×	191 0.8×	457 2.3×	29 0.5×	2 0.2×	13	472
Frank L. Bub United States	8	167 0.5×	186 0.8×	280 1.4×	43 0.7×	14 1.6×	15	335
Derrick Herndon United States	8	369 1.1×	233 1.0×	247 1.3×	20 0.3×	2 0.2×	21	388

Countries citing papers authored by Dmitry Sheinin

Since Specialization

Citations

This map shows the geographic impact of Dmitry Sheinin'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 Sheinin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Sheinin more than expected).

Fields of papers citing papers by Dmitry Sheinin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry Sheinin. 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 Sheinin. The network helps show where Dmitry Sheinin may publish in the future.

Co-authorship network of co-authors of Dmitry Sheinin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Sheinin. A scholar is included among the top collaborators of Dmitry Sheinin 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 Sheinin. Dmitry Sheinin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Alaka, Ghassan J., Dmitry Sheinin, Biju Thomas, et al.. (2020). A Hydrodynamical Atmosphere/Ocean Coupled Modeling System for Multiple Tropical Cyclones. Atmosphere. 11(8). 869–869. 13 indexed citations

Zhang, Zhan, Mingjing Tong, Jason A. Sippel, et al.. (2020). The Impact of Stochastic Physics-Based Hybrid GSI/EnKF Data Assimilation on Hurricane Forecasts Using EMC Operational Hurricane Modeling System. Atmosphere. 11(8). 801–801. 6 indexed citations

Tallapragada, Vijay, Lígia Bernardet, Mrinal K. Biswas, et al.. (2016). Hurricane Weather Research and Forecasting (HWRF) Model: 2015 Scientific Documentation. UCAR/NCAR. 72 indexed citations

Yablonsky, Richard M., Isaac Ginis, Biju Thomas, et al.. (2014). Description and Analysis of the Ocean Component of NOAA’s Operational Hurricane Weather Research and Forecasting Model (HWRF). Journal of Atmospheric and Oceanic Technology. 32(1). 144–163. 54 indexed citations

Kim, Hyun‐Sook, Carlos J. Lozano, Vijay Tallapragada, et al.. (2013). Performance of Ocean Simulations in the Coupled HWRF–HYCOM Model. Journal of Atmospheric and Oceanic Technology. 31(2). 545–559. 41 indexed citations

Chalikov, Dmitry & Dmitry Sheinin. (2005). Modeling extreme waves based on equations of potential flow with a free surface. Journal of Computational Physics. 210(1). 247–273. 62 indexed citations

Boer, G. J., K. Arpe, M. Blackburn, et al.. (1992). Some results from an intercomparison of the climates simulated by 14 atmospheric general circulation models. Journal of Geophysical Research Atmospheres. 97(D12). 12771–12786. 128 indexed citations

Boer, G. J., K. Arpe, M. Blackburn, et al.. (1991). An intercomparison of the climates simulated by 14 atmospheric general circulation models. CentAUR (University of Reading). 30 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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