Boris Gershgorin

937 total citations
18 papers, 723 citations indexed

About

Boris Gershgorin is a scholar working on Atmospheric Science, Global and Planetary Change and Statistical and Nonlinear Physics. According to data from OpenAlex, Boris Gershgorin has authored 18 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Boris Gershgorin's work include Meteorological Phenomena and Simulations (12 papers), Climate variability and models (10 papers) and Wind and Air Flow Studies (4 papers). Boris Gershgorin is often cited by papers focused on Meteorological Phenomena and Simulations (12 papers), Climate variability and models (10 papers) and Wind and Air Flow Studies (4 papers). Boris Gershgorin collaborates with scholars based in United States. Boris Gershgorin's co-authors include Andrew J. Majda, Yuri V. Lvov, David Cai, Yuan Yuan, Rafail V. Abramov, John Harlim, Michał Branicki, V. Yu. Kachorovskii and M. S. Shur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Climate.

In The Last Decade

Boris Gershgorin

18 papers receiving 694 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boris Gershgorin United States 17 350 331 212 139 122 18 723
Rafail V. Abramov United States 15 291 0.8× 348 1.1× 382 1.8× 126 0.9× 168 1.4× 35 888
Eric Vanden Eijnden Belgium 10 220 0.6× 199 0.6× 179 0.8× 52 0.4× 239 2.0× 21 691
Xiaoqun Cao China 13 210 0.6× 152 0.5× 185 0.9× 12 0.1× 67 0.5× 83 628
Fred W. Wubs Netherlands 15 152 0.4× 167 0.5× 120 0.6× 20 0.1× 381 3.1× 60 794
V. I. Zubov Russia 14 366 1.0× 258 0.8× 94 0.4× 16 0.1× 67 0.5× 90 1.2k
L. Kuznetsov United States 10 224 0.6× 139 0.4× 141 0.7× 10 0.1× 54 0.4× 18 442
Xin T. Tong United States 12 120 0.3× 88 0.3× 57 0.3× 37 0.3× 38 0.3× 40 379
Dirk Blömker Germany 18 62 0.2× 64 0.2× 206 1.0× 50 0.4× 156 1.3× 62 774
Eric Simonnet France 16 476 1.4× 684 2.1× 186 0.9× 21 0.2× 151 1.2× 26 1.0k
Tyrus Berry United States 12 105 0.3× 97 0.3× 173 0.8× 33 0.2× 53 0.4× 25 455

Countries citing papers authored by Boris Gershgorin

Since Specialization
Citations

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

Fields of papers citing papers by Boris Gershgorin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Gershgorin

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

All Works

18 of 18 papers shown
1.
Gershgorin, Boris & Andrew J. Majda. (2012). Quantifying Uncertainty for Climate Change and Long-Range Forecasting Scenarios with Model Errors. Part I: Gaussian Models. Journal of Climate. 25(13). 4523–4548. 15 indexed citations
2.
Majda, Andrew J. & Boris Gershgorin. (2012). Elementary models for turbulent diffusion with complex physical features: eddy diffusivity, spectrum and intermittency. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 371(1982). 20120184–20120184. 27 indexed citations
3.
Branicki, Michał, Boris Gershgorin, & Andrew J. Majda. (2011). Filtering skill for turbulent signals for a suite of nonlinear and linear extended Kalman filters. Journal of Computational Physics. 231(4). 1462–1498. 29 indexed citations
4.
Majda, Andrew J. & Boris Gershgorin. (2011). Improving model fidelity and sensitivity for complex systems through empirical information theory. Proceedings of the National Academy of Sciences. 108(25). 10044–10049. 49 indexed citations
5.
Majda, Andrew J. & Boris Gershgorin. (2011). Link between statistical equilibrium fidelity and forecasting skill for complex systems with model error. Proceedings of the National Academy of Sciences. 108(31). 12599–12604. 35 indexed citations
6.
Majda, Andrew J. & Boris Gershgorin. (2010). Quantifying uncertainty in climate change science through empirical information theory. Proceedings of the National Academy of Sciences. 107(34). 14958–14963. 93 indexed citations
7.
Gershgorin, Boris & Andrew J. Majda. (2010). Filtering a statistically exactly solvable test model for turbulent tracers from partial observations. Journal of Computational Physics. 230(4). 1602–1638. 21 indexed citations
8.
Gershgorin, Boris & Andrew J. Majda. (2010). A test model for fluctuation–dissipation theorems with time-periodic statistics. Physica D Nonlinear Phenomena. 239(17). 1741–1757. 27 indexed citations
9.
Majda, Andrew J., John Harlim, & Boris Gershgorin. (2010). Mathematical strategies for filtering turbulent dynamical systems. Discrete and Continuous Dynamical Systems. 27(2). 441–486. 51 indexed citations
10.
Gershgorin, Boris & Andrew J. Majda. (2010). Filtering a nonlinear slow-fast system with strong fast forcing. Communications in Mathematical Sciences. 8(1). 67–92. 17 indexed citations
11.
Majda, Andrew J., Boris Gershgorin, & Yuan Yuan. (2009). Low-Frequency Climate Response and Fluctuation–Dissipation Theorems: Theory and Practice. Journal of the Atmospheric Sciences. 67(4). 1186–1201. 67 indexed citations
12.
Majda, Andrew J., Rafail V. Abramov, & Boris Gershgorin. (2009). High skill in low-frequency climate response through fluctuation dissipation theorems despite structural instability. Proceedings of the National Academy of Sciences. 107(2). 581–586. 52 indexed citations
13.
Gershgorin, Boris, et al.. (2009). Test models for improving filtering with model errors through stochastic parameter estimation. Journal of Computational Physics. 229(1). 1–31. 52 indexed citations
14.
Gershgorin, Boris, et al.. (2009). Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation. Journal of Computational Physics. 229(1). 32–57. 49 indexed citations
15.
Gershgorin, Boris, V. Yu. Kachorovskii, Yuri V. Lvov, & M. S. Shur. (2008). Field effect transistor as heterodyne terahertz detector. Electronics Letters. 44(17). 1036–1037. 32 indexed citations
16.
Gershgorin, Boris & Andrew J. Majda. (2008). A nonlinear test model for filtering slow-fast systems. Communications in Mathematical Sciences. 6(3). 611–649. 27 indexed citations
17.
Gershgorin, Boris, Yuri V. Lvov, & David Cai. (2007). Interactions of renormalized waves in thermalized Fermi-Pasta-Ulam chains. Physical Review E. 75(4). 46603–46603. 31 indexed citations
18.
Gershgorin, Boris, Yuri V. Lvov, & David Cai. (2005). Renormalized Waves and Discrete Breathers inβ-Fermi-Pasta-Ulam Chains. Physical Review Letters. 95(26). 264302–264302. 49 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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