George Kampis
Impact in
-
- Philosophy and History of Science
Papers in
-
- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 5
-
- Opportunistic and Delay-Tolerant Networks 3
- Co-authors
- István Karsai (4 shared papers)László Gulyás (12 shared papers)Sándor Soós (3 shared papers)Paul Lukowicz (6 shared papers)Michael Stöltzner (2 shared papers)Ladislav Kvasz (2 shared papers)Valeria V. Krzhizhanovskaya (3 shared papers)Sergey V. Kovalchuk (3 shared papers)
In The Last Decade
George Kampis
40 papers receiving 370 citations
Peers
Comparison fields: 5 of 105
- History and Philosophy of Science 28
- Theoretical Computer Science 5
- Information Systems and Management 28
- Astronomy and Astrophysics 51
- Statistics, Probability and Uncertainty 19
Countries citing papers authored by George Kampis
This map shows the geographic impact of George Kampis'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 George Kampis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Kampis more than expected).
Fields of papers citing papers by George Kampis
This network shows the impact of papers produced by George Kampis. 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 George Kampis. The network helps show where George Kampis may publish in the future.
Co-authors
The 25 scholars most cited alongside George Kampis, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Self-modifying systems in biology and cognitive science : a new framework for dynamics, information and complexity | 1991 | 90 |
| 2 | 2018 | 26 | |
| 3 | 2010 | 20 | |
| 4 | 2021 | 20 | |
| 5 | 2011 | 18 | |
| 6 | Appraising Lakatos: Mathematics, Methodology and the Man | 2002 | 17 |
| 7 | 1995 | 17 | |
| 8 | 1996 | 16 | |
| 9 | 2017 | 13 | |
| 10 | 2011 | 12 | |
| 11 | 2011 | 12 | |
| 12 | 2016 | 12 | |
| 13 | 2012 | 11 | |
| 14 | 2010 | 11 | |
| 15 | 2013 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2013 | 9 | |
| 18 | 2006 | 7 | |
| 19 | 2008 | 7 | |
| 20 | 1991 | 7 |
About George Kampis
George Kampis is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Sociology and Political Science, Astronomy and Astrophysics and Artificial Intelligence, having authored 43 papers that have together received 405 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (5 papers), Evolutionary Game Theory and Cooperation (4 papers), Origins and Evolution of Life (4 papers), scientometrics and bibliometrics research (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Computability, Logic, AI Algorithms (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in History and Philosophy of Science (28 citations), Theoretical Computer Science (5 citations), Information Systems and Management (28 citations), Astronomy and Astrophysics (51 citations) and Statistics, Probability and Uncertainty (19 citations). George Kampis has collaborated with scholars based in Hungary, Germany and Russia. Frequent co-authors include István Karsai, László Gulyás, Sándor Soós, Paul Lukowicz, Michael Stöltzner, Ladislav Kvasz, Valeria V. Krzhizhanovskaya, Sergey V. Kovalchuk, Michael Lees and P.M.A. Sloot. Their work appears in journals such as The European Physical Journal Special Topics, Journal of Computational Science, Biosystems, Scientometrics and Advanced Engineering Informatics.
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.