Institute for Cross-Disciplinary Physics and Complex Systems
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Transportation top 5%
Papers in
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- Complex Network Analysis Techniques 178
- Opinion Dynamics and Social Influence 163
- Advanced Thermodynamics and Statistical Mechanics 92
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- Quantum and electron transport phenomena 102
- Top scholars
- Miguel C. SorianoIngo FischerCláudio R. MirassoJosé J. RamascoStefano LonghiVictor M. Eguı́luzDaniel BrunnerEmilio Hernández-Garcı́a
- Journals
- Physical review. E (75 papers)Scientific Reports (67 papers)Physical Review Letters (57 papers)PLoS ONE (47 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (44 papers)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Institute for Cross-Disciplinary Physics and Complex Systems
1.5k papers receiving 40.9k citations
Peers
Comparison fields: 5 of 236
- Statistical and Nonlinear Physics 11.6k
- Transportation 2.3k
- Artificial Intelligence 9.5k
- Atomic and Molecular Physics, and Optics 8.2k
- Cognitive Neuroscience 4.6k
Countries citing scholars working at Institute for Cross-Disciplinary Physics and Complex Systems
This map shows the geographic impact of research produced by authors working at Institute for Cross-Disciplinary Physics and Complex Systems. 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 papers produced at Institute for Cross-Disciplinary Physics and Complex Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute for Cross-Disciplinary Physics and Complex Systems more than expected).
Fields of papers published by authors at Institute for Cross-Disciplinary Physics and Complex Systems
This network shows the impact of papers affiliated with Institute for Cross-Disciplinary Physics and Complex Systems at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institute for Cross-Disciplinary Physics and Complex Systems at the time of their publication.
About Institute for Cross-Disciplinary Physics and Complex Systems
In recent decades, authors affiliated with Institute for Cross-Disciplinary Physics and Complex Systems have published 1.8k papers, which have received a total of 41.8k indexed citations . Scholars at this organization have produced 526 papers in Statistical and Nonlinear Physics, 376 papers in Atomic and Molecular Physics, and Optics, 107 papers in Condensed Matter Physics, 218 papers in Computer Networks and Communications and 36 papers in Modeling and Simulation on the topics of Nonlinear Dynamics and Pattern Formation (201 papers), Complex Network Analysis Techniques (178 papers), Opinion Dynamics and Social Influence (163 papers), Neural Networks and Reservoir Computing (119 papers), Quantum Information and Cryptography (115 papers), Quantum and electron transport phenomena (102 papers), Evolutionary Game Theory and Cooperation (93 papers) and Advanced Thermodynamics and Statistical Mechanics (92 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (11.6k citations), Transportation (2.3k citations), Artificial Intelligence (9.5k citations), Atomic and Molecular Physics, and Optics (8.2k citations) and Cognitive Neuroscience (4.6k citations). Authors at Institute for Cross-Disciplinary Physics and Complex Systems collaborate with scholars in Spain, Italy and United States and have published in prestigious journals including Physical review. E, Scientific Reports, Physical Review Letters, PLoS ONE and Chaos An Interdisciplinary Journal of Nonlinear Science. Some of Institute for Cross-Disciplinary Physics and Complex Systems's most productive authors include Miguel C. Soriano, Ingo Fischer, Cláudio R. Mirasso, José J. Ramasco, Stefano Longhi, Victor M. Eguı́luz, Daniel Brunner, Emilio Hernández-Garcı́a, M. San Miguel and Roberta Zambrini.
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.