Pascal Billand

557 citations
32 papers · 325 · h-index 8

Impact in

Papers in

Pascal Billand

28 papers receiving 303 citations

Peers

Pascal Billand
Comparison fields: 5 of 48
  • Strategy and Management 143
  • Management Science and Operations Research 101
  • Economics and Econometrics 183
  • Management of Technology and Innovation 46
  • Statistical and Nonlinear Physics 70
Replace Kyle Higham with:
Kyle Higham New Zealand
Giuditta De Prato Spain
Frédéric Deroı̈an France
Emanuele Pugliese Italy
Vincent J. Vannetelbosch Belgium
William J. Bertin Australia
Tom Magerman Belgium
Sumit Joshi United States
Nicola Grassano Spain
Giorgio Ricchiuti Italy
Pascal Billand relative to Kyle Higham New Zealand Kyle Higham's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pascal Billand

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Billand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Pascal Billand, 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 Pascal Billand Line = papers co-authored together Pascal Billand links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007189
2 200419
3 200714
4 201013
5 201312
6 201611
7 20127
8 20127
9 20106
10 20234
11 20114
12 20084
13 20124
14 20194
15 20083
16 20053
17 20123
18 20103
19 20103
20
A Note on Existence of Nash Networks in One-way Flow
20082

About Pascal Billand

Pascal Billand is a scholar working on Management Science and Operations Research, Economics and Econometrics, Statistical and Nonlinear Physics, Strategy and Management and Political Science and International Relations, having authored 32 papers that have together received 325 indexed citations. Recurring topics across this work include Game Theory and Applications (25 papers), Economic theories and models (13 papers), Opinion Dynamics and Social Influence (11 papers), Business Strategy and Innovation (10 papers), Complex Network Analysis Techniques (6 papers), Game Theory and Voting Systems (5 papers), Experimental Behavioral Economics Studies (2 papers) and Digital Platforms and Economics (2 papers). The work is most often cited by research in Strategy and Management (143 citations), Management Science and Operations Research (101 citations), Economics and Econometrics (183 citations), Management of Technology and Innovation (46 citations) and Statistical and Nonlinear Physics (70 citations). Pascal Billand has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Nadine Massard, Corinne Autant‐Bernard, Sudipta Sarangi, Sumit Joshi, S. S. Iyengar, Jurjen Kamphorst and Rajnish Kumar. Their work appears in journals such as Mathematical Social Sciences, Journal of Public Economic Theory, Social Choice and Welfare, Theory and Decision and Economic Theory.

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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