Dmitry Krotov

787 total citations
13 papers, 368 citations indexed

About

Dmitry Krotov is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Dmitry Krotov has authored 13 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 4 papers in Statistical and Nonlinear Physics and 4 papers in Cognitive Neuroscience. Recurrent topics in Dmitry Krotov's work include Black Holes and Theoretical Physics (5 papers), Neural dynamics and brain function (4 papers) and Neural Networks and Applications (3 papers). Dmitry Krotov is often cited by papers focused on Black Holes and Theoretical Physics (5 papers), Neural dynamics and brain function (4 papers) and Neural Networks and Applications (3 papers). Dmitry Krotov collaborates with scholars based in United States, Russia and Canada. Dmitry Krotov's co-authors include A. M. Polyakov, J. J. Hopfield, William Bialek, Thomas Gregor, Julien Dubuis, Ksenia V. Kastanenka, Валерий Анатольевич Рубаков, В. И. Захаров, C. Rebbi and A. Losev and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nuclear Physics B and Journal of Computational Physics.

In The Last Decade

Dmitry Krotov

12 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmitry Krotov United States	7	118	109	80	74	56	13	368
Ari Pakman United States	12	188 1.6×	317 2.9×	69 0.9×	58 0.8×	18 0.3×	25	562
J. Acácio de Barros United States	9	120 1.0×	71 0.7×	121 1.5×	104 1.4×	33 0.6×	41	434
Patrick N. McGraw Canada	8	30 0.3×	26 0.2×	89 1.1×	60 0.8×	33 0.6×	15	353
Laurence F. Abbott United States	5	62 0.5×	170 1.6×	188 2.4×	39 0.5×	19 0.3×	7	416
Diego Luis Gonzalez Spain	18	81 0.7×	33 0.3×	143 1.8×	32 0.4×	33 0.6×	54	795
Mark Kostuk United States	9	32 0.3×	122 1.1×	112 1.4×	68 0.9×	38 0.7×	14	365
Wiesław A. Kamiński Poland	16	31 0.3×	483 4.4×	63 0.8×	57 0.8×	57 1.0×	59	667
Tan Liu China	15	205 1.7×	156 1.4×	26 0.3×	25 0.3×	7 0.1×	41	519
James F. Glazebrook United States	17	77 0.7×	30 0.3×	194 2.4×	92 1.2×	12 0.2×	70	736
William Kindel United States	9	115 1.0×	220 2.0×	26 0.3×	121 1.6×	60 1.1×	9	540

Countries citing papers authored by Dmitry Krotov

Since Specialization

Citations

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

Fields of papers citing papers by Dmitry Krotov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Krotov

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

All Works

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13 of 13 papers shown

Zhang, Qian, Dmitry Krotov, & George Em Karniadakis. (2025). Operator learning for reconstructing flow fields from sparse measurements: An energy transformer approach. Journal of Computational Physics. 538. 114148–114148. 2 indexed citations

Slotine, Jean-Jacques, et al.. (2025). Neuron–astrocyte associative memory. Proceedings of the National Academy of Sciences. 122(21). e2417788122–e2417788122. 6 indexed citations

Zavatone-Veth, Jacob A., et al.. (2024). Long sequence Hopfield memory*. Journal of Statistical Mechanics Theory and Experiment. 2024(10). 104024–104024. 3 indexed citations

Kastanenka, Ksenia V., et al.. (2023). Building transformers from neurons and astrocytes. Proceedings of the National Academy of Sciences. 120(34). e2219150120–e2219150120. 23 indexed citations

Krotov, Dmitry. (2023). A new frontier for Hopfield networks. Nature Reviews Physics. 5(7). 366–367. 35 indexed citations

Krotov, Dmitry, et al.. (2022). Modern Hopfield Networks for graph embedding. Frontiers in Big Data. 5. 1044709–1044709.

Krotov, Dmitry & J. J. Hopfield. (2019). Unsupervised learning by competing hidden units. Proceedings of the National Academy of Sciences. 116(16). 7723–7731. 80 indexed citations

Krotov, Dmitry, Julien Dubuis, Thomas Gregor, & William Bialek. (2014). Morphogenesis at criticality. Proceedings of the National Academy of Sciences. 111(10). 3683–3688. 86 indexed citations

Krotov, Dmitry & A. M. Polyakov. (2011). Infrared sensitivity of unstable vacua. Nuclear Physics B. 849(2). 410–432. 94 indexed citations

10.

Krotov, Dmitry & A. Losev. (2008). Quantum field theory as effective BV theory from Chern–Simons. Nuclear Physics B. 806(3). 529–566. 8 indexed citations

11.

Alexandrov, Victor, Dmitry Krotov, A. Losev, & Vyacheslav Lysov. (2007). Materializing superghosts. Journal of Experimental and Theoretical Physics Letters. 86(7). 439–443. 1 indexed citations

12.

Krotov, Dmitry, C. Rebbi, Валерий Анатольевич Рубаков, & В. И. Захаров. (2005). Holes in the ghost condensate. Physical review. D. Particles, fields, gravitation, and cosmology. 71(4). 27 indexed citations

13.

Krotov, Dmitry & Alexei Morozov. (2005). A solvable sector of AdS theory. Journal of High Energy Physics. 2005(10). 62–62. 3 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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