2026 Manuel Cebrian: 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	43	7927	7700	108	106	138	8675

Overview

Manuel Cebrian is affiliated with Carlos III University of Madrid in Spain. Their research primarily spans across social sciences, with notable subfields in sociology and political science, statistical and nonlinear physics, economics and econometrics, epidemiology, and artificial intelligence.

Their work covers several main topics, including:

Opinion Dynamics and Social Influence
Misinformation and Its Impacts
Complex Network Analysis Techniques
COVID-19 epidemiological studies
COVID-19 Digital Contact Tracing
Data-Driven Disease Surveillance
Evolutionary Game Theory and Cooperation

Cebrian's recent publications include:

"Understanding the efficiency of social media based crisis communication during hurricane Sandy" (2020), published in International Journal of Information Management
"Superintelligence Cannot be Contained: Lessons from Computability Theory" (2021), published in Journal of Artificial Intelligence Research
"Deglobalization in a hyper-connected world" (2020), published in Palgrave Communications
"Universal resilience patterns in labor markets" (2021), published in Nature Communications
"The past, present and future of digital contact tracing" (2021), published in Nature Electronics

They frequently collaborate with several co-authors, with notable collaborators including Iyad Rahwan, Niccolò Pescetelli, Esteban Moro, Alex Rutherford, and Nick Obradovich. The frequency of collaboration with these individuals ranges from 8 to 18 joint publications.

Cebrian's work is often published in venues such as:

arXiv (Cornell University)
Scientific Reports
SSRN Electronic Journal
Applied Network Science
Nature Electronics

Best Publications

Rapid assessment of disaster damage using social media activity.

Yury Kryvasheyeu;Yury Kryvasheyeu;Haohui Chen;Haohui Chen;Nick Obradovich;Nick Obradovich;Esteban Moro

691
Citations
Toward understanding the impact of artificial intelligence on labor

Morgan R. Frank;David Autor;James E. Bessen;Erik Brynjolfsson;Erik Brynjolfsson

574
Citations
Time-Critical Social Mobilization

Galen Pickard;Wei Pan;Iyad Rahwan;Iyad Rahwan;Manuel Cebrian

302
Citations
Social sensing for epidemiological behavior change

Anmol Madan;Manuel Cebrian;David Lazer;Alex Pentland

300
Citations
Sensing the "Health State" of a Community

A. Madan;M. Cebrian;S. Moturu;K. Farrahi

294
Citations
Cooperating with machines.

Jacob W. Crandall;Mayada Oudah;Tennom;Fatimah Ishowo-Oloko

236
Citations
Limited communication capacity unveils strategies for human interaction

Giovanna Miritello;Rubén Lara;Manuel Cebrian;Manuel Cebrian;Esteban Moro;Esteban Moro

230
Citations
Social media fingerprints of unemployment.

Alejandro Llorente;Manuel Garcia-Herranz;Manuel Cebrian;Esteban Moro

206
Citations
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity

Marian-Andrei Rizoiu;Lexing Xie;Scott Sanner;Manuel Cebrian

189
Citations
Weather impacts expressed sentiment.

Patrick Baylis;Nick Obradovich;Yury Kryvasheyeu;Haohui Chen

174
Citations
Reflecting on the DARPA Red Balloon Challenge

John C. Tang;Manuel Cebrian;Nicklaus A. Giacobe;Hyun-Woo Kim

166
Citations
Performance of social network sensors during Hurricane Sandy.

Yury Kryvasheyeu;Haohui Chen;Esteban Moro;Pascal Van Hentenryck

165
Citations
COMMON PITFALLS USING THE NORMALIZED COMPRESSION DISTANCE: WHAT TO WATCH OUT FOR IN A COMPRESSOR

Manuel Alfonseca;Manuel Cebrián;Alfonso Ortega

155
Citations
The predictability of consumer visitation patterns

Coco Krumme;Alejandro Llorente;Manuel Cebrian;Manuel Cebrian;Alex Sandy Pentland

141
Citations
Using Friends as Sensors to Detect Global-Scale Contagious Outbreaks

Manuel Garcia-Herranz;Esteban Moro Egido;Manuel Cebrian;Nicholas A. Christakis

130
Citations
Modeling Dynamical Influence in Human Interaction: Using data to make better inferences about influence within social systems

Wei Pan;Wen Dong;M. Cebrian;Taemie Kim

128
Citations
Using friends as sensors to detect planetary-scale contagious outbreaks

Manuel Cebrian

121
Citations
The evolution of citation graphs in artificial intelligence research

Morgan R. Frank;Dashun Wang;Manuel Cebrian;Iyad Rahwan;Iyad Rahwan

121
Citations
Small cities face greater impact from automation.

Morgan R. Frank;Lijun Sun;Manuel Cebrian;Hyejin Youn

113
Citations
The rich club phenomenon in the classroom

Luis M. Vaquero;Manuel Cebrian;Manuel Cebrian

111
Citations
Epidemic contact tracing via communication traces.

Katayoun Farrahi;Rémi Emonet;Manuel Cebrian

106
Citations

Frequent Co-Authors

Iyad Rahwan Max Planck Institute for Human Development

Alex Pentland MIT

Pascal Van Hentenryck Georgia Institute of Technology

James H. Fowler University of California, San Diego

Lexing Xie Australian National University

Nicholas R. Jennings Loughborough University

Kay W. Axhausen ETH Zurich

Der-Horng Lee Zhejiang University

David Camacho Technical University of Madrid

Satish V. Ukkusuri Purdue University West Lafayette

External Links

Personal website of Manuel Cebrian Google Scholar page

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