Institute for Scientific Interchange
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Papers in
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- COVID-19 epidemiological studies 167
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- Complex Network Analysis Techniques 305
- Opinion Dynamics and Social Influence 223
- Top scholars
- Santo FortunatoAlessandro VespignaniPaolo ZanardiAndrea LancichinettiClaudio CastellanoVittoria ColizzaMatteo G. A. ParisFilippo Radicchi
- Journals
- Physical Review A (104 papers)Physical Review Letters (72 papers)PLoS ONE (56 papers)Scientific Reports (53 papers)Proceedings of the National Academy of Sciences (30 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Institute for Scientific Interchange
1.6k papers receiving 111.4k citations
Peers
Comparison fields: 5 of 240
- Statistical and Nonlinear Physics 37.9k
- Modeling and Simulation 13.2k
- Transportation 6.3k
- Artificial Intelligence 24.6k
- Atomic and Molecular Physics, and Optics 19.7k
Countries citing scholars working at Institute for Scientific Interchange
This map shows the geographic impact of research produced by authors working at Institute for Scientific Interchange. 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 Scientific Interchange 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 Scientific Interchange more than expected).
Fields of papers published by authors at Institute for Scientific Interchange
This network shows the impact of papers affiliated with Institute for Scientific Interchange 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 Scientific Interchange at the time of their publication.
About Institute for Scientific Interchange
In recent decades, authors affiliated with Institute for Scientific Interchange have published 1.7k papers, which have received a total of 117.5k indexed citations . Scholars at this organization have produced 174 papers in Modeling and Simulation, 384 papers in Statistical and Nonlinear Physics, 92 papers in Transportation, 7 papers in Computational Mathematics and 340 papers in Atomic and Molecular Physics, and Optics on the topics of Complex Network Analysis Techniques (305 papers), Opinion Dynamics and Social Influence (223 papers), Quantum Information and Cryptography (208 papers), COVID-19 epidemiological studies (167 papers), Quantum Computing Algorithms and Architecture (132 papers), Quantum Mechanics and Applications (109 papers), Quantum and electron transport phenomena (91 papers) and Human Mobility and Location-Based Analysis (85 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (37.9k citations), Modeling and Simulation (13.2k citations), Transportation (6.3k citations), Artificial Intelligence (24.6k citations) and Atomic and Molecular Physics, and Optics (19.7k citations). Authors at Institute for Scientific Interchange collaborate with scholars in Italy, United States and Spain and have published in prestigious journals including Physical Review A, Physical Review Letters, PLoS ONE, Scientific Reports and Proceedings of the National Academy of Sciences. Some of Institute for Scientific Interchange's most productive authors include Santo Fortunato, Alessandro Vespignani, Paolo Zanardi, Andrea Lancichinetti, Claudio Castellano, Vittoria Colizza, Matteo G. A. Paris, Filippo Radicchi, Alain Barrat and Vittorio Loreto.
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.