É. É. Shnol

30 papers receiving 465 citations

Peers

É. É. Shnol
Comparison fields: 5 of 84
  • Statistical and Nonlinear Physics 108
  • Computer Networks and Communications 148
  • Hematology 62
  • Cell Biology 92
  • Fluid Flow and Transfer Processes 26
Replace Bogdan Kaźmierczak with:
Bogdan Kaźmierczak Poland
Ryan McAllister United States
Ronny Straube Germany
Rui Dilão Portugal
S. Kim United States
Christophe Dussert France
Federico Frascoli Australia
Andrea Rocco United Kingdom
Thomas G. Fai United States
M. A. Despósito Argentina
É. É. Shnol relative to Bogdan Kaźmierczak Poland Bogdan Kaźmierczak's profile →
Citations per field
00.5×7.8×
Bogdan Kaźmierczak · 1×
Citations per year

Countries citing papers authored by É. É. Shnol

Since Specialization
Citations

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

Fields of papers citing papers by É. É. Shnol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside É. É. Shnol, 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 É. É. Shnol Line = papers co-authored together É. É. Shnol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200594
2 198967
3 201156
4 199042
5 199336
6
Stability of Critical Equilibrium States
199135
7 200532
8 201227
9 200218
10 200915
11 199813
12 200410
13 19719
14 20079
15 20077
16 19784
17 19694
18 19793
19 19802
20 19982

About É. É. Shnol

É. É. Shnol is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Numerical Analysis, Geometry and Topology and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 500 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (8 papers), Quantum chaos and dynamical systems (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Numerical methods for differential equations (4 papers), Blood properties and coagulation (3 papers), Elasticity and Wave Propagation (3 papers), Advanced Differential Equations and Dynamical Systems (3 papers) and Iterative Methods for Nonlinear Equations (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (108 citations), Computer Networks and Communications (148 citations), Hematology (62 citations), Cell Biology (92 citations) and Fluid Flow and Transfer Processes (26 citations). É. É. Shnol has collaborated with scholars based in Russia, France and United States. Frequent co-authors include Elena Ermakova, Arkady M. Pertsov, Alexey S. Kondrashov, Ekaterina L. Grishchuk, J. Richard McIntosh, Maxim I. Molodtsov, Fazly I. Ataullakhanov, A. Tokarev, Grigory Panasenko and Mikhail A. Panteleev. Their work appears in journals such as Biophysical Journal, Physica D Nonlinear Phenomena, Sbornik Mathematics, Biology Direct and Journal of Dynamical and Control Systems.

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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