Manuel Cebrián

7.7k total citations · 2 hit papers
105 papers, 3.8k citations indexed

About

Manuel Cebrián is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Manuel Cebrián has authored 105 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistical and Nonlinear Physics, 29 papers in Sociology and Political Science and 19 papers in Artificial Intelligence. Recurrent topics in Manuel Cebrián's work include Complex Network Analysis Techniques (35 papers), Opinion Dynamics and Social Influence (23 papers) and Human Mobility and Location-Based Analysis (17 papers). Manuel Cebrián is often cited by papers focused on Complex Network Analysis Techniques (35 papers), Opinion Dynamics and Social Influence (23 papers) and Human Mobility and Location-Based Analysis (17 papers). Manuel Cebrián collaborates with scholars based in United States, Spain and Australia. Manuel Cebrián's co-authors include Esteban Moro, Alex Pentland, Iyad Rahwan, Pascal Van Hentenryck, James H. Fowler, Haohui Chen, Yury Kryvasheyeu, Anmol Madan, Nick Obradovich and Morgan R. Frank and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Manuel Cebrián

99 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rapid assessment of disaster damage using social media activity

2016 447 citations Yury Kryvasheyeu, Haohui Chen et al. profile →
Toward understanding the impact of artificial intelligence on labor

2019 349 citations Morgan R. Frank, Manuel Cebrián et al. profile →

Peers

Countries citing papers authored by Manuel Cebrián

Since Specialization

Citations

This map shows the geographic impact of Manuel Cebrián's research. 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 Manuel Cebrián with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Cebrián more than expected).

Fields of papers citing papers by Manuel Cebrián

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Cebrián. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Manuel Cebrián. The network helps show where Manuel Cebrián may publish in the future.

Co-authorship network of co-authors of Manuel Cebrián

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Cebrián. A scholar is included among the top collaborators of Manuel Cebrián based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manuel Cebrián. Manuel Cebrián is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Gut microbiota profiles are associated with different spontaneous cortical activity in healthy older people 2025 ·Scientific Reports ·J. Ignacio Serrano, Silvia Cruz-Gil, (unknown), Lara P. Fernández, (unknown), Isabel Espinosa‐Salinas, Carolina Maestre, María-Jesús Latasa, Manuel Cebrián, Ricardo Ramos, Ana Ramı́rez de Molina, M. Dolores del Castillo	1
2	Universal resilience patterns in labor markets 2021 ·Nature Communications ·Esteban Moro, Morgan R. Frank, Alex Pentland, Alex Rutherford, Manuel Cebrián, Iyad Rahwan	33
3	Superintelligence Cannot be Contained: Lessons from Computability Theory 2021 ·Journal of Artificial Intelligence Research ·Manuel Alfonseca, Manuel Cebrián, Antonio Fernández Anta, Lorenzo Coviello, Andrés Abeliuk, Iyad Rahwan	29
4	Social mobilization and polarization can create volatility in COVID-19 pandemic control 2021 ·Applied Network Science ·(unknown), Alex Rutherford, Manuel Cebrián	6
5	Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics 2019 ·MPG.PuRe (Max Planck Society) ·(unknown), Aythami Morales, Julián Fiérrez, Manuel Cebrián, Nick Obradovich, Iyad Rahwan	11
6	Understanding the Effectiveness of Social Media Based Crisis Communication During Hurricane Sandy 2018 ·Transportation Research Board 97th Annual MeetingTransportation Research Board ·Kamol Chandra Roy, Samiul Hasan, Arif Mohaimin Sadri, Manuel Cebrián	2
7	Cooperating with machines 2018 ·Nature Communications ·Jacob W. Crandall, (unknown), (unknown), (unknown), Sherief Abdallah, Jean‐François Bonnefon, Manuel Cebrián, Azim Shariff, Michael A. Goodrich, Iyad Rahwan	130
8	Performance of Social Network Sensors during Hurricane Sandy 2015 ·PLoS ONE ·Yury Kryvasheyeu, Haohui Chen, Esteban Moro, Pascal Van Hentenryck, Manuel Cebrián	99
9	The Benefits of Social Influence in Optimized Cultural Markets 2015 ·PLoS ONE ·Andrés Abeliuk, Gerardo Berbeglia, Manuel Cebrián, Pascal Van Hentenryck	18
10	Using Friends as Sensors to Detect Global-Scale Contagious Outbreaks 2014 ·PLoS ONE ·Manuel García–Herranz, Esteban Moro, Manuel Cebrián, Nicholas A. Christakis, James H. Fowler	64
11	Iterated crowdsourcing dilemma game 2014 ·Scientific Reports ·Koji Oishi, Manuel Cebrián, Andrés Abeliuk, Naoki Masuda	20
12	Targeted Social Mobilization in a Global Manhunt 2013 ·PLoS ONE ·Alex Rutherford, Manuel Cebrián, Iyad Rahwan, Sohan Dsouza, James O. McInerney, Victor Naroditskiy, Matteo Venanzi, Nicholas R. Jennings, (unknown), (unknown), (unknown)	13
13	The predictability of consumer visitation patterns 2013 ·Scientific Reports ·Coco Krumme, (unknown), Manuel Cebrián, Alex Pentland, Esteban Moro	59
14	Limited communication capacity unveils strategies for human interaction 2013 ·Scientific Reports ·Giovanna Miritello, Rubén Lara, Manuel Cebrián, Esteban Moro	108
15	Verification in Referral-Based Crowdsourcing 2012 ·PLoS ONE ·Victor Naroditskiy, Iyad Rahwan, Manuel Cebrián, Nicholas R. Jennings	26
16	Inferring Unobservable Inter-community Links in Large Social Networks 2009 ·(unknown), Manuel Cebrián, (unknown), Rubén Lara, Nuria Oliver	1
17	Protein structure prediction on the face centered cubic lattice by local search 2008 ·National Conference on Artificial Intelligence ·Manuel Cebrián, Iván Dotú, Pascal Van Hentenryck, Peter Clote	23
18	Testing genetic algorithm recombination strategies and the normalized compression distance for computer-generated music 2006 ·LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) ·Manuel Alfonseca, Manuel Cebrián, Alfonso Ortega	0
19	Evolving computer-generated music by means of the normalized compression distance 2005 ·LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) ·Manuel Alfonseca, Manuel Cebrián, Alfonso Ortega	5
20	Channeling constraints and value ordering in the quasigroup completion problem 2003 ·International Joint Conference on Artificial Intelligence ·(unknown), Álvaro del Val, Manuel Cebrián	1

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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