Valentin Krinsky

29 papers receiving 1.1k citations

Peers

Valentin Krinsky
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 598
  • Statistical and Nonlinear Physics 320
  • Computer Networks and Communications 522
  • Cellular and Molecular Neuroscience 265
  • Cognitive Neuroscience 134
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Countries citing papers authored by Valentin Krinsky

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Krinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Valentin Krinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Valentin Krinsky Line = papers co-authored together Valentin Krinsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011233
2 2009127
3 199586
4 199967
5 200766
6 200664
7 201053
8 200545
9 201042
10 199639
11 199238
12 200136
13 200826
14 200319
15 199416
16 200714
17 199114
18 199713
19 200312
20 199212

About Valentin Krinsky

Valentin Krinsky is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (18 papers), Cardiac electrophysiology and arrhythmias (11 papers), stochastic dynamics and bifurcation (9 papers), Neuroscience and Neural Engineering (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Neural dynamics and brain function (4 papers), Ion channel regulation and function (3 papers) and Slime Mold and Myxomycetes Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (598 citations), Statistical and Nonlinear Physics (320 citations), Computer Networks and Communications (522 citations), Cellular and Molecular Neuroscience (265 citations) and Cognitive Neuroscience (134 citations). Valentin Krinsky has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Alain Pumir, Igor R. Efimov, Stefan Luther, José Jalife, Eberhard Bodenschatz, Narine Sarvazyan, Robert F. Gilmour, Elizabeth M. Cherry, Flavio H. Fenton and Philip Bittihn. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Theoretical Biology, Physical Review Letters and International Journal of Bifurcation and Chaos.

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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