Complexity Science Hub

28.7k citations
1.6k papers ·

Impact in

Papers in

Complexity Science Hub

1.3k papers receiving 26.4k citations

Peers

Complexity Science Hub
Comparison fields: 5 of 236
  • Statistical and Nonlinear Physics 6.4k
  • Modeling and Simulation 1.9k
  • Safety Research 1.3k
  • Cognitive Neuroscience 2.8k
  • Transportation 893
Replace UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik with:
UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik Austria
UniNettuno University Italy
Institute for Scientific Interchange Italy
GESIS - Leibniz Institute for the Social Sciences Germany
Max Planck Institute for Demographic Research Germany
Istituto Universitario di Studi Superiori di Pavia Italy
Victoria School of Management Switzerland
Statistics Sweden Sweden
Mercer (Czechia) Czechia
Hochschule Bremen Germany
Complexity Science Hub relative to UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik Austria UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik's profile →
Citations per field
00.5×8.3×
UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik · 1×
Citations per year

Countries citing scholars working at Complexity Science Hub

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Complexity Science Hub. 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 Complexity Science Hub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Complexity Science Hub more than expected).

Fields of papers published by authors at Complexity Science Hub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Complexity Science Hub 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 Complexity Science Hub at the time of their publication.

About Complexity Science Hub

In recent decades, authors affiliated with Complexity Science Hub have published 1.6k papers, which have received a total of 28.7k indexed citations . Scholars at this organization have produced 395 papers in Statistical and Nonlinear Physics, 75 papers in Modeling and Simulation, 207 papers in Cognitive Neuroscience, 58 papers in Transportation and 226 papers in Economics and Econometrics on the topics of Complex Network Analysis Techniques (198 papers), Opinion Dynamics and Social Influence (166 papers), Evolutionary Game Theory and Cooperation (140 papers), Complex Systems and Time Series Analysis (138 papers), Neural dynamics and brain function (79 papers), Statistical Mechanics and Entropy (75 papers), Nonlinear Dynamics and Pattern Formation (70 papers) and Evolution and Genetic Dynamics (67 papers). Their work is cited by papers focused on Statistical and Nonlinear Physics (6.4k citations), Modeling and Simulation (1.9k citations), Safety Research (1.3k citations), Cognitive Neuroscience (2.8k citations) and Transportation (893 citations). Authors at Complexity Science Hub collaborate with scholars in Austria, United States and United Kingdom and have published in prestigious journals including Scientific Reports, Physical review. E, Chaos Solitons & Fractals, PLoS ONE and Physica A Statistical Mechanics and its Applications. Some of Complexity Science Hub's most productive authors include Matjaž Perc, Stefan Thurner, Dibakar Ghosh, Constantino Tsallis, David García, Peter Klimek, Sajad Jafari, Gerald Steiner, Mathew P. White and Zhen Wang.

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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