Mikhail Prokopenko
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- Complex Network Analysis Techniques 29
- Opinion Dynamics and Social Influence 19
- Advanced Thermodynamics and Statistical Mechanics 14
-
- Evolutionary Algorithms and Applications 14
- Co-authors
- Joseph T. Lizier (43 shared papers)Albert Y. Zomaya (18 shared papers)Mahendra Piraveenan (17 shared papers)X. Rosalind Wang (14 shared papers)Fabio Boschetti (3 shared papers)Alex Ryan (1 shared paper)Sheryl L. Chang (12 shared papers)Oliver Obst (13 shared papers)
- Journals
- Artificial Life (10 papers)Physical review. E (8 papers)Scientific Reports (5 papers)Royal Society Open Science (5 papers)PLoS ONE (5 papers)
- Partner nations
- AustraliaGermanyUnited Kingdom
In The Last Decade
Mikhail Prokopenko
172 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 184
- Statistical and Nonlinear Physics 1.2k
- Modeling and Simulation 309
- Cognitive Neuroscience 906
- Computational Theory and Mathematics 415
- Artificial Intelligence 762
Countries citing papers authored by Mikhail Prokopenko
This map shows the geographic impact of Mikhail Prokopenko'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 Mikhail Prokopenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Prokopenko more than expected).
Fields of papers citing papers by Mikhail Prokopenko
This network shows the impact of papers produced by Mikhail Prokopenko. 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 Mikhail Prokopenko. The network helps show where Mikhail Prokopenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikhail Prokopenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 255 | |
| 2 | 2008 | 211 | |
| 3 | 2008 | 173 | |
| 4 | 2010 | 168 | |
| 5 | 2010 | 148 | |
| 6 | 2013 | 143 | |
| 7 | 2012 | 129 | |
| 8 | 2020 | 118 | |
| 9 | 2010 | 92 | |
| 10 | 2013 | 89 | |
| 11 | 2006 | 89 | |
| 12 | 2011 | 85 | |
| 13 | 2009 | 77 | |
| 14 | 2012 | 74 | |
| 15 | 2013 | 71 | |
| 16 | 2008 | 70 | |
| 17 | 2010 | 69 | |
| 18 | 2011 | 63 | |
| 19 | 2022 | 60 | |
| 20 | 2007 | 59 |
About Mikhail Prokopenko
Mikhail Prokopenko is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology and Cognitive Neuroscience, having authored 181 papers that have together received 4.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (29 papers), Cellular Automata and Applications (25 papers), Neural dynamics and brain function (25 papers), Modular Robots and Swarm Intelligence (19 papers), Opinion Dynamics and Social Influence (19 papers), COVID-19 epidemiological studies (15 papers), Evolutionary Algorithms and Applications (14 papers) and Advanced Thermodynamics and Statistical Mechanics (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Modeling and Simulation (309 citations), Cognitive Neuroscience (906 citations), Computational Theory and Mathematics (415 citations) and Artificial Intelligence (762 citations). Mikhail Prokopenko has collaborated with scholars based in Australia, Germany and United Kingdom. Frequent co-authors include Joseph T. Lizier, Albert Y. Zomaya, Mahendra Piraveenan, X. Rosalind Wang, Fabio Boschetti, Alex Ryan, Sheryl L. Chang, Oliver Obst, Liaquat Hossain and Richard E. Spinney. Their work appears in journals such as Artificial Life, Physical review. E, Scientific Reports, Royal Society Open Science and PLoS ONE.
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.