Jorge M. Pacheco

15.5k citations
178 papers · 11.6k indexed · 4 hit papers · h-index 49
Topics
Evolutionary Game Theory and Cooperation (78 papers)Evolution and Genetic Dynamics (53 papers)Experimental Behavioral Economics Studies (30 papers)

In The Last Decade

Jorge M. Pacheco

173 papers receiving 11.3k citations

Hit Papers

Scale-Free Networks Provide a Unifying Framework for the ...200520262012201920052008200620064008001.2k

Peers

Jorge M. Pacheco
Comparison fields: 5 of 181
  • Sociology and Political Science 8.5k
  • Genetics 5.0k
  • Public Health, Environmental and Occupational Health 2.8k
  • Statistical and Nonlinear Physics 2.7k
  • Safety Research 2.7k
Replace Arne Traulsen with:
Arne Traulsen Germany
Hisashi Ohtsuki Japan
Francisco C. Santos Portugal
Karl Sigmund Austria
Josef Hofbauer Austria
Attila Szolnoki Hungary
Tom Lenaerts Belgium
Tibor Antal United States
Stuart Kauffman United States
Jesús Gómez‐Gardeñes Spain
Jorge M. Pacheco relative to Arne Traulsen Germany Arne Traulsen's profile →
Citations per field
00.5×1.5×1.8×
Arne Traulsen · 1×
Citations per year

Countries citing papers authored by Jorge M. Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Jorge M. Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge M. Pacheco. 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 Jorge M. Pacheco. The network helps show where Jorge M. Pacheco may publish in the future.

Co-authorship network of co-authors of Jorge M. Pacheco

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge M. Pacheco. A scholar is included among the top collaborators of Jorge M. Pacheco 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 Jorge M. Pacheco. Jorge M. Pacheco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 3
3 96
4 26
5 57
6 36
7 69
8 45
9 143
10 5
11 12
12 19
13 168
14 47
15 13
16 232
17
Emergence of Cooperation in Heterogeneous structured populations
1
18 197
19 79
20 103

About Jorge M. Pacheco

Jorge M. Pacheco is a scholar working on Safety Research, Hematology and Statistical and Nonlinear Physics, having authored 178 papers that have together received 11.6k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (78 papers), Evolution and Genetic Dynamics (53 papers) and Experimental Behavioral Economics Studies (30 papers). The work is most often cited by research in Safety Research (2.7k citations), Statistical and Nonlinear Physics (2.7k citations) and Sociology and Political Science (8.5k citations). Jorge M. Pacheco has collaborated with scholars based in Portugal, United States and Belgium. Frequent co-authors include Francisco C. Santos, Arne Traulsen, Martin A. Nowak, Tom Lenaerts, Marta D. Santos, David Dingli, Fernando P. Santos, João F. Matias Rodrigues, Hisashi Ohtsuki and Flávio L. Pinheiro. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

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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