2026 Carlos Gershenson: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	37	10747	10447	4487	4302	188	5951

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

10747

10447

4487

4302

188

5951

Overview

Carlos Gershenson is affiliated with the National Autonomous University of Mexico in Mexico. Their research spans multiple fields and subfields, addressing complex systems and interdisciplinary topics.

The scientist has published extensively in venues including:

arXiv (Cornell University)
Preprints.org
Entropy
PLoS ONE
Complexity

Some of their recent papers include:

"The role of complexity for digital twins of cities," 2023, Nature Computational Science
"Ecosystem antifragility: beyond integrity and resilience," 2020, PeerJ
"Dynamics of ranking," 2022, Nature Communications
"Self-Organization and Artificial Life," 2020, Artificial Life
"Temporal, Structural, and Functional Heterogeneities Extend Criticality and Antifragility in Random Boolean Networks," 2023, Entropy

Their research focuses on key topics such as:

Complex Network Analysis Techniques
Evolutionary Game Theory and Cooperation
Gene Regulatory Network Analysis
Opinion Dynamics and Social Influence
Origins and Evolution of Life
Modular Robots and Swarm Intelligence
Bioinformatics and Genomic Networks

Carlos Gershenson's work covers subfields including:

Molecular Biology
Statistical and Nonlinear Physics
Sociology and Political Science
Artificial Intelligence
Economics and Econometrics

Frequent collaborators in their research include:

Pedro J. Rivera Torres (8 publications)
Fernanda Sánchez-Puig (7 publications)
Gerardo Íñiguez (6 publications)
Carlos Pineda (6 publications)
Tzipe Govezensky (6 publications)

Best Publications

Wind speed forecasting for wind farms: A method based on support vector regression

G. Santamaría-Bonfil;A. Reyes-Ballesteros;C. Gershenson

389
Citations
Design and Control of Self-organizing Systems

Carlos Gershenson

331
Citations
Self-Organizing Traffic Lights

Carlos Gershenson

284
Citations
Self-organizing traffic lights: A realistic simulation

Seung-Bae Cools;Carlos Gershenson;Bart D’Hooghe

278
Citations
Complexity and information: Measuring emergence, self-organization, and homeostasis at multiple scales

Carlos Gershenson;Nelson Fernández

244
Citations
Complexity and Philosophy

Francis Heylighen;Paul Cilliers;Carlos Gershenson

210
Citations
Artificial Neural Networks for Beginners

Carlos Gershenson

188
Citations
Classification of random boolean networks

Carlos Gershenson

184
Citations
When can we call a system Self-organizing?

Carlos Gershenson;Francis Heylighen

176
Citations
The Meaning of Self-organization in Computing

Francis Heylighen;Carlos Gershenson

171
Citations
Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis

Nelson Fernández;Carlos Maldonado;Carlos Gershenson

155
Citations
Introduction to Random Boolean Networks

Carlos Gershenson

129
Citations
Living is information processing: from molecules to global systems.

Keith Douglas Farnsworth;John Nelson;Carlos Gershenson

128
Citations
The Past, Present, and Future of Artificial Life

Wendy Aguilar;Guillermo Santamaría-Bonfil;Tom Froese;Carlos Gershenson

116
Citations
Guiding the self-organization of random Boolean networks.

Carlos Gershenson

100
Citations
Self-organizing traffic lights at multiple-street intersections

Carlos Gershenson;David A. Rosenblueth

98
Citations
How can we think the complex

Carlos Gershenson;Francis Heylighen

97
Citations
Updating Schemes in Random Boolean Networks: Do They Really Matter?

Carlos Gershenson

92
Citations
When slower is faster

Carlos Gershenson;Dirk Helbing

87
Citations
Smartocracy: Social Networks for Collective Decision Making

M.A. Rodriguez;D.J. Steinbock;J.H. Watkins;C. Gershenson

85
Citations
Information and Computation

Carlos Gershenson

6
Citations

Frequent Co-Authors

Jorge Flores Program for Appropriate Technology in Health

Bruce Edmonds Manchester Metropolitan University

Johan Bollen Indiana University

Mikhail Prokopenko University of Sydney

Vito Trianni National Research Council (CNR)

Mason A. Porter University of California, Los Angeles

Dirk Helbing ETH Zurich

Michael Batty University College London

Péter Csermely Semmelweis University

Paolo Santi MIT

External Links

Personal website of Carlos Gershenson

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