Institute for Complex Systems
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- stochastic dynamics and bifurcation
- Advanced Thermodynamics and Statistical Mechanics
- Acoustics and Ultrasonics top 5%
Papers in
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- Complex Network Analysis Techniques 210
- Advanced Thermodynamics and Statistical Mechanics 181
- Opinion Dynamics and Social Influence 161
- stochastic dynamics and bifurcation 146
- Top scholars
- Stefano BoccalettiVito LatoraYamir MorenoDong‐Uk HwangMario ChávezClaudio CastellanoAndrea CavagnaRomualdo Pastor‐Satorras
- Journals
- Physical Review Letters (149 papers)Physical review. E (140 papers)Physical Review B (117 papers)Scientific Reports (97 papers)Chaos Solitons & Fractals (57 papers)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Institute for Complex Systems
3.2k papers receiving 97.6k citations
Peers
Comparison fields: 5 of 241
- Statistical and Nonlinear Physics 23.0k
- Acoustics and Ultrasonics 804
- Condensed Matter Physics 9.0k
- Modeling and Simulation 2.5k
- Computer Networks and Communications 12.1k
Countries citing scholars working at Institute for Complex Systems
This map shows the geographic impact of research produced by authors working at Institute for 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 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 Complex Systems more than expected).
Fields of papers published by authors at Institute for Complex Systems
This network shows the impact of papers affiliated with Institute for 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 Complex Systems at the time of their publication.
About Institute for Complex Systems
In recent decades, authors affiliated with Institute for Complex Systems have published 3.5k papers, which have received a total of 101.2k indexed citations . Scholars at this organization have produced 736 papers in Statistical and Nonlinear Physics, 44 papers in Acoustics and Ultrasonics, 408 papers in Condensed Matter Physics, 648 papers in Atomic and Molecular Physics, and Optics and 709 papers in Materials Chemistry on the topics of Nonlinear Dynamics and Pattern Formation (271 papers), Complex Network Analysis Techniques (210 papers), Theoretical and Computational Physics (194 papers), Neural dynamics and brain function (192 papers), Advanced Thermodynamics and Statistical Mechanics (181 papers), Opinion Dynamics and Social Influence (161 papers), stochastic dynamics and bifurcation (146 papers) and Material Dynamics and Properties (141 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (23.0k citations), Acoustics and Ultrasonics (804 citations), Condensed Matter Physics (9.0k citations), Modeling and Simulation (2.5k citations) and Computer Networks and Communications (12.1k citations). Authors at Institute for Complex Systems collaborate with scholars in Italy, France and United Kingdom and have published in prestigious journals including Physical Review Letters, Physical review. E, Physical Review B, Scientific Reports and Chaos Solitons & Fractals. Some of Institute for Complex Systems's most productive authors include Stefano Boccaletti, Vito Latora, Yamir Moreno, Dong‐Uk Hwang, Mario Chávez, Claudio Castellano, Andrea Cavagna, Romualdo Pastor‐Satorras, Irene Giardina and Guido Caldarelli.
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.