Marko Jusup
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Safety Research top 0.5%
- Experimental Behavioral Economics Studies
Papers in
-
- Experimental Behavioral Economics Studies 12
- Co-authors
- Zhen WangJun TanimotoЛей ШиSatoshi KokuboTin KlanjščekStefano BoccalettiYoh IwasaBoris Podobnik
In The Last Decade
Marko Jusup
61 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Modeling and Simulation 328
- Safety Research 579
- Statistical and Nonlinear Physics 778
- Sociology and Political Science 1.6k
- Experimental and Cognitive Psychology 384
Countries citing papers authored by Marko Jusup
This map shows the geographic impact of Marko Jusup'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 Marko Jusup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Jusup more than expected).
Fields of papers citing papers by Marko Jusup
This network shows the impact of papers produced by Marko Jusup. 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 Marko Jusup. The network helps show where Marko Jusup may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marko Jusup, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 5 | |
| 3 | Social physics Hit paper breakdown → | 2022 | 375 |
| 4 | 2021 | 44 | |
| 5 | Communicating sentiment and outlook reverses inaction against collective risks Hit paper breakdown → | 2020 | 145 |
| 6 | 2020 | 28 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 99 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 44 | |
| 11 | 2017 | 15 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 35 | |
| 14 | 2016 | 117 | |
| 15 | 2016 | 213 | |
| 16 | Universal scaling for the dilemma strength in evolutionary games Hit paper breakdown → | 2015 | 460 |
| 17 | 2015 | 30 | |
| 18 | 2014 | 15 | |
| 19 | 2011 | 75 | |
| 20 | 2009 | 23 |
About Marko Jusup
Marko Jusup is a scholar working on Safety Research, Modeling and Simulation, Nature and Landscape Conservation, Statistical and Nonlinear Physics and Aquatic Science, having authored 62 papers that have together received 3.5k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (19 papers), Experimental Behavioral Economics Studies (12 papers), Physiological and biochemical adaptations (10 papers), Marine and fisheries research (9 papers), Fish Ecology and Management Studies (8 papers), Evolution and Genetic Dynamics (8 papers), Complex Network Analysis Techniques (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (6 papers). The work is most often cited by research in Modeling and Simulation (328 citations), Safety Research (579 citations), Statistical and Nonlinear Physics (778 citations), Sociology and Political Science (1.6k citations) and Experimental and Cognitive Psychology (384 citations). Marko Jusup has collaborated with scholars based in Japan, Croatia and China. Frequent co-authors include Zhen Wang, Jun Tanimoto, Лей Ши, Satoshi Kokubo, Zhen Wang, Tin Klanjšček, Stefano Boccaletti, Yoh Iwasa, Boris Podobnik and Matjaž Perc. Their work appears in journals such as Physics of Life Reviews, Scientific Reports, Proceedings of the National Academy of Sciences, Journal of Theoretical Biology and Ecological Modelling.
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.