R.A. Kosiński
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Opinion Dynamics and Social Influence 17
- Complex Network Analysis Techniques 16
- stochastic dynamics and bifurcation 9
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- Magneto-Optical Properties and Applications 11
- Co-authors
- Andrzej Grabowski (19 shared papers)A. Sukiennicki (11 shared papers)M. Hanasz (3 shared papers)A. Krawiecki (7 shared papers)J. Engemann (5 shared papers)Jan J. Żebrowski (3 shared papers)Cezary Kozłowski (1 shared paper)Ryszard Stępień (1 shared paper)
In The Last Decade
R.A. Kosiński
57 papers receiving 438 citations
Peers
Comparison fields: 5 of 84
- Statistical and Nonlinear Physics 272
- Modeling and Simulation 38
- Condensed Matter Physics 44
- Computer Networks and Communications 79
- Transportation 18
Countries citing papers authored by R.A. Kosiński
This map shows the geographic impact of R.A. Kosiński'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 R.A. Kosiński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.A. Kosiński more than expected).
Fields of papers citing papers by R.A. Kosiński
This network shows the impact of papers produced by R.A. Kosiński. 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 R.A. Kosiński. The network helps show where R.A. Kosiński may publish in the future.
Co-authors
The 11 scholars most cited alongside R.A. Kosiński, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 71 | |
| 2 | 2004 | 69 | |
| 3 | 2008 | 43 | |
| 4 | 2008 | 27 | |
| 5 | 2006 | 25 | |
| 6 | 2000 | 16 | |
| 7 | 2006 | 15 | |
| 8 | Dynamics of the Model of the Caenorhabditis Elegans Neural Network | 2007 | 14 |
| 9 | 1985 | 12 | |
| 10 | 2007 | 9 | |
| 11 | THE SIS MODEL OF EPIDEMIC SPREADING IN A HIERARCHICAL SOCIAL NETWORK | 2005 | 8 |
| 12 | 1986 | 7 | |
| 13 | 1994 | 7 | |
| 14 | 2004 | 6 | |
| 15 | 1998 | 6 | |
| 16 | 1992 | 6 | |
| 17 | 1989 | 6 | |
| 18 | 2008 | 6 | |
| 19 | 1986 | 5 | |
| 20 | 2010 | 5 |
About R.A. Kosiński
R.A. Kosiński is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 63 papers that have together received 458 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (17 papers), Complex Network Analysis Techniques (16 papers), Magneto-Optical Properties and Applications (11 papers), Nonlinear Dynamics and Pattern Formation (10 papers), stochastic dynamics and bifurcation (9 papers), Magnetic properties of thin films (8 papers), Theoretical and Computational Physics (7 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (272 citations), Modeling and Simulation (38 citations), Condensed Matter Physics (44 citations), Computer Networks and Communications (79 citations) and Transportation (18 citations). R.A. Kosiński has collaborated with scholars based in Poland and Germany. Frequent co-authors include Andrzej Grabowski, A. Sukiennicki, M. Hanasz, A. Krawiecki, J. Engemann, Jan J. Żebrowski, Cezary Kozłowski, Ryszard Stępień, Jarosław Jankowski and J. Heidmann. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, International Journal of Modern Physics C, IEEE Transactions on Magnetics, Chaos Solitons & Fractals and Physica A Statistical Mechanics and its Applications.
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.