Manuel Cebrián

7.7k citations
129 papers · 5.5k · 3 hit papers · h-index 35

Impact in

Papers in

Manuel Cebrián

120 papers receiving 5.3k citations

Manuel Cebrián's Hit Papers

Machine behaviour 2019 · 824 citations
8240+3+6Years since publication250500750

Peers

Manuel Cebrián
Comparison fields: 5 of 157
  • Transportation 459
  • Computer Science Applications 357
  • Statistical and Nonlinear Physics 663
  • Communication 516
  • Safety Research 473
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Manuel Cebrián, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manuel Cebrián Line = papers co-authored together Manuel Cebrián links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine behaviour
Hit paper breakdown →
2019824
2
Rapid assessment of disaster damage using social media activity
Hit paper breakdown →
2016494
3
Toward understanding the impact of artificial intelligence on labor
Hit paper breakdown →
2019454
4 2011181
5 2010174
6 2011167
7 2013167
8 2018158
9 2013150
10 2018121
11 2015110
12 2015109
13 201999
14 201191
15 201789
16 201980
17 201477
18 202077
19 201374
20 201474

About Manuel Cebrián

Manuel Cebrián is a scholar working on Statistical and Nonlinear Physics, Computer Science Applications, Transportation, Safety Research and Communication, having authored 129 papers that have together received 5.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (34 papers), Mobile Crowdsensing and Crowdsourcing (13 papers), Human Mobility and Location-Based Analysis (10 papers), Ethics and Social Impacts of AI (9 papers), Opinion Dynamics and Social Influence (6 papers), Public Relations and Crisis Communication (6 papers), Music Technology and Sound Studies (5 papers) and Evolutionary Game Theory and Cooperation (4 papers). The work is most often cited by research in Transportation (459 citations), Computer Science Applications (357 citations), Statistical and Nonlinear Physics (663 citations), Communication (516 citations) and Safety Research (473 citations). Manuel Cebrián has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Esteban Moro, Alex Pentland, Iyad Rahwan, Pascal Van Hentenryck, James H. Fowler, Haohui'Caron' Chen, Yury Kryvasheyeu, Anmol Madan, Morgan R. Frank and Nick Obradovich. Their work appears in journals such as Scientific Reports, PLoS ONE, EPJ Data Science, Journal of The Royal Society Interface and Nature Communications.

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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