Ivan Romić

737 citations
7 papers · 490 · 1 hit paper · h-index 5

Impact in

Papers in

Ivan Romić

7 papers receiving 475 citations

Ivan Romić's Hit Papers

Social physics 2022 · 375 citations
3750+1+2Years since publication100200300

Peers

Ivan Romić
Comparison fields: 5 of 86
  • Statistical and Nonlinear Physics 189
  • Modeling and Simulation 54
  • Safety Research 67
  • Sociology and Political Science 217
  • Experimental and Cognitive Psychology 50
Replace Tarik Hadzibeganovic with:
Tarik Hadzibeganovic Austria
Jian‐Yue Guan China
Genki Ichinose Japan
Yohsuke Murase Japan
Shaoting Tang China
Dun Han China
C. Xu China
Bing-Hong Wang China
Tadeusz Płatkowski Poland
Joung-Hun Lee Japan
Ivan Romić relative to Tarik Hadzibeganovic Austria Tarik Hadzibeganovic's profile →
Citations per field
00.5×7.2×
Tarik Hadzibeganovic · 1×
Citations per year

Countries citing papers authored by Ivan Romić

Since Specialization
Citations

This map shows the geographic impact of Ivan Romić'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 Romić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Romić more than expected).

Fields of papers citing papers by Ivan Romić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Romić. 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 Romić. The network helps show where Ivan Romić may publish in the future.

Co-authors

The 25 scholars most cited alongside Ivan Romić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan Romić Line = papers co-authored together Ivan Romić links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About Ivan Romić

Ivan Romić is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics, Safety Research, Environmental Engineering and Computer Networks and Communications, having authored 7 papers that have together received 490 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (4 papers), Experimental Behavioral Economics Studies (2 papers), Opinion Dynamics and Social Influence (2 papers), Sustainability and Ecological Systems Analysis (2 papers), Complex Network Analysis Techniques (1 paper), Evolutionary Psychology and Human Behavior (1 paper), Land Use and Ecosystem Services (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (189 citations), Modeling and Simulation (54 citations), Safety Research (67 citations), Sociology and Political Science (217 citations) and Experimental and Cognitive Psychology (50 citations). Ivan Romić has collaborated with scholars based in Japan, China and Croatia. Frequent co-authors include Marko Jusup, Zhen Wang, Petter Holme, Boris Podobnik, Tin Klanjšček, Misako Takayasu, Jingfang Fan, Lin Wang, Kiyoshi Kanazawa and Matjaž Perc. Their work appears in journals such as Journal of The Royal Society Interface, Nature Human Behaviour, Proceedings of the National Academy of Sciences, Regional Studies Regional Science and Physics Reports.

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.

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