Tom Lenaerts

6.1k total citations · 1 hit paper
147 papers, 3.9k citations indexed

About

Tom Lenaerts is a scholar working on Sociology and Political Science, Molecular Biology and Safety Research. According to data from OpenAlex, Tom Lenaerts has authored 147 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Sociology and Political Science, 39 papers in Molecular Biology and 37 papers in Safety Research. Recurrent topics in Tom Lenaerts's work include Evolutionary Game Theory and Cooperation (56 papers), Experimental Behavioral Economics Studies (33 papers) and Evolution and Genetic Dynamics (16 papers). Tom Lenaerts is often cited by papers focused on Evolutionary Game Theory and Cooperation (56 papers), Experimental Behavioral Economics Studies (33 papers) and Evolution and Genetic Dynamics (16 papers). Tom Lenaerts collaborates with scholars based in Belgium, Portugal and United States. Tom Lenaerts's co-authors include Francisco C. Santos, Jorge M. Pacheco, The Anh Han, Luı́s Moniz Pereira, Sven Van Segbroeck, Wim Vranken, Elisa Cilia, Rita Pancsa, Péter Tompa and Ann Nowé and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Tom Lenaerts

141 papers receiving 3.8k 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.

Evolutionary dynamics of social dilemmas in structured heterogeneous populations

2006 759 citations Francisco C. Santos, Jorge M. Pacheco et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Lenaerts Belgium	31	2.1k	1.4k	906	810	657	147	3.9k
Krishnendu Chatterjee Austria	32	1.2k 0.6×	670 0.5×	508 0.6×	486 0.6×	242 0.4×	226	4.3k
Benjamin Allen United States	27	1.2k 0.6×	1.1k 0.8×	989 1.1×	258 0.3×	230 0.4×	68	4.1k
Feng Fu United States	42	3.7k 1.7×	2.0k 1.4×	144 0.2×	1.1k 1.3×	1.2k 1.8×	125	5.1k
Лей Ши China	29	2.0k 0.9×	944 0.7×	82 0.1×	785 1.0×	612 0.9×	176	3.3k
Hisashi Ohtsuki Japan	34	5.2k 2.4×	3.2k 2.2×	566 0.6×	1.8k 2.2×	1.2k 1.8×	104	7.0k
Yi Tao China	29	834 0.4×	577 0.4×	663 0.7×	302 0.4×	157 0.2×	144	2.6k
C. Cannings United Kingdom	28	762 0.4×	1.4k 1.0×	420 0.5×	183 0.2×	170 0.3×	137	3.1k
Xin‐Jian Xu China	26	667 0.3×	482 0.3×	349 0.4×	97 0.1×	837 1.3×	125	2.3k
Francisco C. Santos Portugal	41	7.0k 3.3×	3.7k 2.6×	166 0.2×	2.5k 3.1×	2.2k 3.3×	142	8.3k
Carlos P. Roca Spain	18	985 0.5×	612 0.4×	135 0.1×	247 0.3×	302 0.5×	35	1.6k

Countries citing papers authored by Tom Lenaerts

Since Specialization

Citations

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

Fields of papers citing papers by Tom Lenaerts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Lenaerts. 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 Tom Lenaerts. The network helps show where Tom Lenaerts may publish in the future.

Co-authorship network of co-authors of Tom Lenaerts

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Lenaerts. A scholar is included among the top collaborators of Tom Lenaerts 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 Tom Lenaerts. Tom Lenaerts 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

Barfuß, Wolfram, Jessica C. Flack, Chaitanya S. Gokhale, et al.. (2025). Collective cooperative intelligence. Proceedings of the National Academy of Sciences. 122(25). e2319948121–e2319948121. 1 indexed citations

Lenaerts, Tom, et al.. (2024). DUVEL: an active-learning annotated biomedical corpus for the recognition of oligogenic combinations. Database. 2024.

Clementel, Damiano, Konstantinos Kyritsis, Emidio Capriotti, et al.. (2024). DOME Registry: implementing community-wide recommendations for reporting supervised machine learning in biology. GigaScience. 13. 1 indexed citations

Lenaerts, Tom, et al.. (2023). Dealing with expert bias in collective decision-making. Artificial Intelligence. 320. 103921–103921. 3 indexed citations

Helaers, Raphaël, et al.. (2023). Excalibur: A new ensemble method based on an optimal combination of aggregation tests for rare-variant association testing for sequencing data. PLoS Computational Biology. 19(9). e1011488–e1011488. 2 indexed citations

Helaers, Raphaël, et al.. (2023). Rare variant association on unrelated individuals in case–control studies using aggregation tests: existing methods and current limitations. Briefings in Bioinformatics. 24(6).

Demetter, Pieter, María Gómez Galdón, Ligia Craciun, et al.. (2020). Infiltrative tumour growth pattern correlates with poor outcome in oesophageal cancer. BMJ Open Gastroenterology. 7(1). e000431–e000431. 4 indexed citations

Laan, Maris, Laura Kasak, Marina Grigorova, et al.. (2020). NR5A1 c.991‐1G > C splice‐site variant causes familial 46,XY partial gonadal dysgenesis with incomplete penetrance. Clinical Endocrinology. 94(4). 656–666. 14 indexed citations

Renaux, Alexandre, et al.. (2019). ORVAL: a novel platform for the prediction and exploration of disease-causing oligogenic variant combinations. Nucleic Acids Research. 47(W1). W93–W98. 39 indexed citations

10.

Burssens, Arne, Johannes Peeters, Matthias Peiffer, et al.. (2018). Reliability and correlation analysis of computed methods to convert conventional 2D radiological hindfoot measurements to a 3D setting using weightbearing CT. International Journal of Computer Assisted Radiology and Surgery. 13(12). 1999–2008. 56 indexed citations

11.

Pereira, Luı́s Moniz, Tom Lenaerts, & Luis A. Martínez-Vaquero. (2017). Social Manifestation of Guilt Leads to Stable Cooperation in Multi-Agent Systems. Adaptive Agents and Multi-Agents Systems. 3. 1422–1430. 15 indexed citations

12.

Pereira, Luı́s Moniz, Luis A. Martínez-Vaquero, & Tom Lenaerts. (2016). Guilt for Non-Humans. TeesRep (Teesside University). 249–252. 1 indexed citations

13.

Lenaerts, Tom. (2015). The Efficient Interaction of Costly Punishment and Commitment. Adaptive Agents and Multi-Agents Systems. 3. 1657–1658. 4 indexed citations

14.

Pereira, Luı́s Moniz, Francisco C. Santos, & Tom Lenaerts. (2013). Why is it so hard to say sorry? evolution of apology with commitments in the iterated Prisoner's Dilemma. International Joint Conference on Artificial Intelligence. 177–183. 15 indexed citations

15.

Spalevıć, Velibor, et al.. (2013). The impact of land use on soil erosion in the river basin Boljanska Rijeka in Montenegro. Ghent University Academic Bibliography (Ghent University). 54–63. 14 indexed citations

16.

Lenaerts, Tom, et al.. (2013). Evolution of common-pool resources and social welfare in structured populations. ORBi UMONS. 2848–2854. 5 indexed citations

17.

Santos, Francisco C., Jorge M. Pacheco, & Tom Lenaerts. (2006). Emergence of Cooperation in Heterogeneous structured populations. Artificial Life. 432–437. 1 indexed citations

18.

Tuyls, Karl, Tom Lenaerts, Katja Verbeeck, Sam Maes, & Bernard Manderick. (2002). Towards a relation between learning agents and evolutionary dynamics. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 315–322. 7 indexed citations

19.

Lenaerts, Tom, et al.. (2002). Testing the overall functional robustness of 2D CA phenotypes for development. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 203–210. 1 indexed citations

20.

Lenaerts, Tom, Sam Maes, Karl Tuyls, et al.. (2001). Niching and evolutionary transitions in multi-agent systems. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 309–312. 2 indexed citations

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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