Jens Koed Madsen

797 total citations
39 papers, 426 citations indexed

About

Jens Koed Madsen is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Jens Koed Madsen has authored 39 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 9 papers in Statistical and Nonlinear Physics and 5 papers in Artificial Intelligence. Recurrent topics in Jens Koed Madsen's work include Opinion Dynamics and Social Influence (9 papers), Misinformation and Its Impacts (7 papers) and Evolutionary Game Theory and Cooperation (5 papers). Jens Koed Madsen is often cited by papers focused on Opinion Dynamics and Social Influence (9 papers), Misinformation and Its Impacts (7 papers) and Evolutionary Game Theory and Cooperation (5 papers). Jens Koed Madsen collaborates with scholars based in United Kingdom, United States and Australia. Jens Koed Madsen's co-authors include Toby D. Pilditch, Richard M. Bailey, Adam J. L. Harris, Anne Hsu, Ulrike Hahn, James S. Risbey, Наоми Орескес, Stephan Lewandowsky, Ruud Custers and Philipp Koralus and has published in prestigious journals such as PLoS ONE, Trends in Cognitive Sciences and Scientific Reports.

In The Last Decade

Jens Koed Madsen

37 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jens Koed Madsen United Kingdom	11	199	82	81	50	43	39	426
Ryan Muldoon United States	14	285 1.4×	45 0.5×	27 0.3×	24 0.5×	24 0.6×	32	642
William J. Turkel Canada	9	76 0.4×	20 0.2×	55 0.7×	9 0.2×	37 0.9×	35	299
Adam Briggle United States	11	186 0.9×	10 0.1×	25 0.3×	103 2.1×	31 0.7×	40	426
Francesca Giardini Netherlands	12	308 1.5×	71 0.9×	12 0.1×	17 0.3×	48 1.1×	34	472
Toby D. Pilditch United Kingdom	11	155 0.8×	71 0.9×	47 0.6×	8 0.2×	44 1.0×	27	293
Wataru Toyokawa Japan	10	142 0.7×	49 0.6×	24 0.3×	5 0.1×	59 1.4×	13	278
Charles Gomez United States	8	105 0.5×	51 0.6×	24 0.3×	6 0.1×	41 1.0×	12	497
Doo Hwan Kim South Korea	8	177 0.9×	70 0.9×	8 0.1×	9 0.2×	34 0.8×	53	420
Petro Tolochko Austria	10	271 1.4×	43 0.5×	81 1.0×	18 0.4×	21 0.5×	17	543
Yunkyu Sohn United States	5	193 1.0×	88 1.1×	63 0.8×	3 0.1×	82 1.9×	9	415

Countries citing papers authored by Jens Koed Madsen

Since Specialization

Citations

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

Fields of papers citing papers by Jens Koed Madsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jens Koed Madsen. 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 Jens Koed Madsen. The network helps show where Jens Koed Madsen may publish in the future.

Co-authorship network of co-authors of Jens Koed Madsen

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Koed Madsen. A scholar is included among the top collaborators of Jens Koed Madsen 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 Jens Koed Madsen. Jens Koed Madsen 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

Madsen, Jens Koed, et al.. (2025). Belief polarization can be caused by disagreements over source independence: Computational modelling, experimental evidence, and applicability to real-world politics. Cognition. 259. 106126–106126. 1 indexed citations

Roozenbeek, Jon, David Young, & Jens Koed Madsen. (2025). The wilful rejection of psychological and behavioural interventions. Current Opinion in Psychology. 66. 102138–102138. 1 indexed citations

Madsen, Jens Koed, et al.. (2024). Triggering the tragedy: The simulated effects of alternative fisher goals on marine fisheries and fisheries policy. Ecological Complexity. 57. 101070–101070. 2 indexed citations

Powers, Joseph E., et al.. (2024). Rejection sampling and agent-based models for data limited fisheries. Frontiers in Marine Science. 11. 1 indexed citations

Madsen, Jens Koed, et al.. (2024). Modelling Adaptive and Anticipatory Human Decision-Making in Complex Human-Environment Systems. Journal of Artificial Societies and Social Simulation. 27(1). 2 indexed citations

Neil, Emily, et al.. (2020). Agent-based modelling as a tool for elephant poaching mitigation. Ecological Modelling. 427. 109054–109054. 6 indexed citations

Madsen, Jens Koed, Ulrike Hahn, & Toby D. Pilditch. (2020). The impact of partial source dependence on belief and reliability revision.. Journal of Experimental Psychology Learning Memory and Cognition. 46(9). 1795–1805. 15 indexed citations

Pilditch, Toby D., et al.. (2020). The rational continued influence of misinformation. Cognition. 205. 104453–104453. 26 indexed citations

Madsen, Jens Koed, Ulrike Hahn, & Toby D. Pilditch. (2019). Reasoning about dissent: Expert disagreement and shared backgrounds.. Cognitive Science. 2228–2234. 1 indexed citations

10.

Madsen, Jens Koed, et al.. (2019). Analytic Versus Computational Cognitive Models: Agent-Based Modeling as a Tool in Cognitive Sciences. Current Directions in Psychological Science. 28(3). 299–305. 19 indexed citations

11.

Madsen, Jens Koed, Ulrike Hahn, & Toby D. Pilditch. (2018). Partial source dependence and reliability revision: the impact of shared backgrounds.. Cognitive Science. 5 indexed citations

12.

Bailey, Richard M., Robert L. Axtell, Matthew G. Burgess, et al.. (2018). A computational approach to managing coupled human–environmental systems: the POSEIDON model of ocean fisheries. Sustainability Science. 14(2). 259–275. 34 indexed citations

13.

Madsen, Jens Koed, Richard M. Bailey, & Toby D. Pilditch. (2018). Large networks of rational agents form persistent echo chambers. Scientific Reports. 8(1). 12391–12391. 39 indexed citations

14.

Madsen, Jens Koed, Richard M. Bailey, & Toby D. Pilditch. (2017). Growing a Bayesian Conspiracy Theorist: An Agent-Based Model. Cognitive Science. 2 indexed citations

15.

Madsen, Jens Koed. (2016). Trump supported it?! A Bayesian source credibility model applied to appeals to specific American presidential candidates' opinions.. Cognitive Science. 9 indexed citations

16.

Cowley, Stephen J. & Jens Koed Madsen. (2014). Time and temporality: linguistic distribution in human life-games. University of Southern Denmark Research Portal (University of Southern Denmark). 21. 172–185. 7 indexed citations

17.

Madsen, Jens Koed & Stephen J. Cowley. (2014). Foreword: Cognition, Language, and the Scales of Time. BIROn (Birkbeck, University of London). 21. 5–10. 1 indexed citations

18.

Cowley, Stephen J. & Jens Koed Madsen. (2014). Living Subjectivity: Time Scales, Language, and the Fluidity of the Self. University of Southern Denmark Research Portal (University of Southern Denmark). 21. 11–22. 4 indexed citations

19.

Madsen, Jens Koed. (2014). Approaching Bayesian subjectivity from a temporal perspective.. BIROn (Birkbeck, University of London). 21. 98–112. 5 indexed citations

20.

Aagaard, Annabeth, Pernille Eskerod, Martin Hannibal, et al.. (2013). Collaboration and performance in Multi-Partner Projects: The case of engineering consultancies. Research methodology. BIROn (Birkbeck, University of London). 1 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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