Luc Bovens

2.6k citations
62 papers · 1.0k indexed · 1 hit paper · h-index 14
Topics
Bayesian Modeling and Causal Inference (11 papers)Game Theory and Voting Systems (10 papers)Epistemology, Ethics, and Metaphysics (9 papers)

In The Last Decade

Luc Bovens

61 papers receiving 939 citations

Hit Papers

Bayesian Epistemology20042026201120182004100200300

Peers

Luc Bovens
Comparison fields: 5 of 100
  • Philosophy 358
  • Artificial Intelligence 257
  • History and Philosophy of Science 227
  • Sociology and Political Science 181
  • Economics and Econometrics 168
Replace Anna Alexandrova with:
Anna Alexandrova United Kingdom
Jonathan E. Adler United States
L. A. Paul United States
Robert Kirk United Kingdom
Bernard Berofsky United States
Lorenz Krüger Germany
Julian Reiss United Kingdom
Lena Wahlberg Sweden
Ruth Chang Netherlands
Włodek Rabinowicz Sweden
Luc Bovens relative to Anna Alexandrova United Kingdom Anna Alexandrova's profile →
Citations per field
00.5×2.9×
Anna Alexandrova · 1×
Citations per year

Countries citing papers authored by Luc Bovens

Since Specialization
Citations

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

Fields of papers citing papers by Luc Bovens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Bovens

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Bovens. A scholar is included among the top collaborators of Luc Bovens 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 Luc Bovens. Luc Bovens 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 1
2 3
3
Post-Covid 19 economic development and policy: submitted as recommendations to the Scottish economic recovery group
1
4 20
5 14
6 2
7 11
8
Vergiffenis in Elsschots Het Been: Boorman vs. Laarmans
2
9 8
10 10
11 29
12 41
13 17
14
Belief Expansion, Contextual Fit and the Reliability of Information Sources
2
15 6
16 1
17 4
18 7
19 26
20 4

About Luc Bovens

Luc Bovens is a scholar working on General Decision Sciences, Philosophy and Political Science and International Relations, having authored 62 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (11 papers), Game Theory and Voting Systems (10 papers) and Epistemology, Ethics, and Metaphysics (9 papers). The work is most often cited by research in History and Philosophy of Science (227 citations), General Decision Sciences (78 citations) and Philosophy (358 citations). Luc Bovens has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stephan Hartmann, Włodek Rabinowicz, Claus Beisbart, Erik J Olsson, Marc Fleurbaey, Branden Fitelson, José Luis Bermúdez, Geoffrey Brennan, Cristina Bicchieri and David Gauthier. Their work appears in journals such as The Journal of Philosophy, Public Choice and Philosophy and Phenomenological Research.

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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