Ivan G. Szendro
- Genetics top 10%
- Molecular Biology
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Joachim KrugJ. Arjan G. M. de VisserMiguel A. RodríguezJ.M. LópezMartijn SchenkJasper FrankeDiego PazóMerijn L.M. Salverda
- Topics
- Evolution and Genetic Dynamics (9 papers)Nonlinear Dynamics and Pattern Formation (6 papers)Evolutionary Game Theory and Cooperation (6 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of Geophysical Research Atmospheres
- Partner nations
- GermanySpainNetherlands
In The Last Decade
Ivan G. Szendro
23 papers receiving 595 citations
Peers
Comparison fields: 5 of 76
- Genetics 335
- Molecular Biology 167
- Sociology and Political Science 160
- Statistical and Nonlinear Physics 110
- Computer Networks and Communications 95
Countries citing papers authored by Ivan G. Szendro
This map shows the geographic impact of Ivan G. Szendro'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 Ivan G. Szendro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan G. Szendro more than expected).
Fields of papers citing papers by Ivan G. Szendro
This network shows the impact of papers produced by Ivan G. Szendro. 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 Ivan G. Szendro. The network helps show where Ivan G. Szendro may publish in the future.
Co-authorship network of co-authors of Ivan G. Szendro
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan G. Szendro. A scholar is included among the top collaborators of Ivan G. Szendro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan G. Szendro. Ivan G. Szendro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 8 | |
| 3 | 14 | |
| 4 | 42 | |
| 5 | 30 | |
| 6 | 98 | |
| 7 | 64 | |
| 8 | 86 | |
| 9 | 15 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 51 | |
| 14 | 32 | |
| 15 | 17 | |
| 16 | 19 | |
| 17 | 11 | |
| 18 | 12 | |
| 19 | 7 | |
| 20 | 20 |
About Ivan G. Szendro
Ivan G. Szendro is a scholar working on Neuropsychology and Physiological Psychology, Aging and Statistical and Nonlinear Physics, having authored 24 papers that have together received 601 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (9 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Evolutionary Game Theory and Cooperation (6 papers). The work is most often cited by research in Genetics (335 citations), Statistical and Nonlinear Physics (110 citations) and Molecular Medicine (37 citations). Ivan G. Szendro has collaborated with scholars based in Germany, Spain and Netherlands. Frequent co-authors include Joachim Krug, J. Arjan G. M. de Visser, Miguel A. Rodríguez, J.M. López, Martijn Schenk, Jasper Franke, Diego Pazó, Merijn L.M. Salverda, Cristina Primo and Jochen Bröcker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Geophysical Research Atmospheres.
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.