Igor Goychuk

4.3k citations
90 papers · 3.2k indexed · h-index 34

Igor Goychuk

90 papers receiving 3.1k citations

Peers

Igor Goychuk
Comparison fields: 5 of 105
  • Statistical and Nonlinear Physics 2.0k
  • Modeling and Simulation 512
  • Computer Networks and Communications 681
  • Atomic and Molecular Physics, and Optics 926
  • Cognitive Neuroscience 392
Replace Yuri P. Kalmykov with:
Yuri P. Kalmykov France
W. T. Coffey Ireland
Deb Shankar Ray India
J. Schnakenberg Germany
Cyrill B. Muratov United States
A. Fuliński Poland
Stanislav Burov Israel
Ewa Gudowska–Nowak Poland
J. Łuczka Poland
Gleb Oshanin France
Igor Goychuk relative to Yuri P. Kalmykov France Yuri P. Kalmykov's profile →
Citations per field
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Yuri P. Kalmykov · 1×
Citations per year

Countries citing papers authored by Igor Goychuk

Since Specialization
Citations

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

Fields of papers citing papers by Igor Goychuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Igor Goychuk, 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 Igor Goychuk Line = papers co-authored together Igor Goychuk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 202412
3 202113
4 20188
5 20185
6 201621
7 201521
8 201469
9 201446
10 201436
11 200921
12 200937
13
A SINGULAR PERTURBATION APPROACH TO THE STEADY-STATE 1D POISSON-NERNST-PLANCK MODELING ∗
20081
14 200669
15 200664
16
Universal scaling in anomalous transport
20052
17 200525
18 200442
19 200382
20 200127

About Igor Goychuk

Igor Goychuk is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Atomic and Molecular Physics, and Optics, having authored 90 papers that have together received 3.2k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (55 papers), Spectroscopy and Quantum Chemical Studies (34 papers), Advanced Thermodynamics and Statistical Mechanics (28 papers), Nonlinear Dynamics and Pattern Formation (16 papers), Fractional Differential Equations Solutions (15 papers), Neural dynamics and brain function (8 papers), Statistical Mechanics and Entropy (8 papers) and Quantum Information and Cryptography (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.0k citations), Modeling and Simulation (512 citations) and Computer Networks and Communications (681 citations). Igor Goychuk has collaborated with scholars based in Germany, Ukraine and United States. Frequent co-authors include Peter Hänggi, Gerhard Schmid, Vasyl O. Kharchenko, É. G. Petrov, Volkhard May, Els Heinsalu, Marco Patriarca, Ralf Metzler, L. Hartmann and Jörg D. Hoheisel. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics, Physical review. E, Europhysics Letters (EPL) and Chemical Physics.

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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