Georgi S. Medvedev

765 citations
34 papers · 486 indexed · h-index 13

Georgi S. Medvedev

33 papers receiving 461 citations

Peers

Georgi S. Medvedev
Comparison fields: 5 of 44
  • Statistical and Nonlinear Physics 273
  • Computer Networks and Communications 301
  • Cognitive Neuroscience 148
  • Modeling and Simulation 21
  • Mathematical Physics 36
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Michael Field United States
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Citations per year

Countries citing papers authored by Georgi S. Medvedev

Since Specialization
Citations

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

Fields of papers citing papers by Georgi S. Medvedev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georgi S. Medvedev. 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 Georgi S. Medvedev. The network helps show where Georgi S. Medvedev may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Georgi S. Medvedev, 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 Georgi S. Medvedev Line = papers co-authored together Georgi S. Medvedev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20232
4 20223
5 20225
6 20222
7 20215
8 20182
9 201346
10 201314
11 201112
12
Convergence and stochastic stability of continuous time consensus protocols
20101
13 20104
14 20107
15 200912
16 20081
17 200631
18 200447
19 200322
20 200141

About Georgi S. Medvedev

Georgi S. Medvedev is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Mathematical Physics, Cognitive Neuroscience and Discrete Mathematics and Combinatorics, having authored 34 papers that have together received 486 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (20 papers), stochastic dynamics and bifurcation (14 papers), Slime Mold and Myxomycetes Research (8 papers), Neural dynamics and brain function (7 papers), Neural Networks Stability and Synchronization (7 papers), Ecosystem dynamics and resilience (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers) and Advanced Thermodynamics and Statistical Mechanics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (273 citations), Computer Networks and Communications (301 citations), Cognitive Neuroscience (148 citations), Modeling and Simulation (21 citations) and Mathematical Physics (36 citations). Georgi S. Medvedev has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Paweł Hitczenko, Nancy Kopell, Jaime Cisternas, Hayato Chiba, Dmitry S. Kaliuzhnyi-Verbovetskyi, Joseph C. Callaway, Charles J. Wilson, James Wright, Kosuke Ono and Philip Holmes. Their work appears in journals such as Journal of Nonlinear Science, Physica D Nonlinear Phenomena, Archive for Rational Mechanics and Analysis, SIAM Journal on Applied Mathematics and SIAM Journal on Mathematical Analysis.

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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