Pascal Billand

30 papers receiving 336 citations

Peers

Pascal Billand
Comparison fields: 5 of 49
  • Strategy and Management 157
  • Management Science and Operations Research 109
  • Economics and Econometrics 202
  • Management of Technology and Innovation 51
  • Statistical and Nonlinear Physics 78
Replace Kyle Higham with:
Kyle Higham Switzerland
Frédéric Deroı̈an France
Lee Fleming United States
Emanuele Pugliese Italy
Vincent J. Vannetelbosch Belgium
Joseph Plasmans Belgium
Sumit Joshi United States
Nicola Grassano Spain
William J. Bertin Australia
Giorgio Ricchiuti Italy
Pascal Billand relative to Kyle Higham Switzerland 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007203
2 200421
3 200714
4 201013
5 201312
6 201611
7 20127
8 20127
9 20116
10 20106
11 20236
12 20126
13 20195
14 20125
15 20084
16 20084
17 20054
18 20103
19 20123
20 20103

About Pascal Billand

Pascal Billand is a scholar working on Management Science and Operations Research, Economics and Econometrics, Strategy and Management, Statistical and Nonlinear Physics and Political Science and International Relations, having authored 34 papers that have together received 358 indexed citations. Recurring topics across this work include Game Theory and Applications (26 papers), Economic theories and models (13 papers), Business Strategy and Innovation (12 papers), Opinion Dynamics and Social Influence (11 papers), Complex Network Analysis Techniques (6 papers), Game Theory and Voting Systems (5 papers), Digital Platforms and Economics (3 papers) and University-Industry-Government Innovation Models (2 papers). The work is most often cited by research in Strategy and Management (157 citations), Management Science and Operations Research (109 citations), Economics and Econometrics (202 citations), Management of Technology and Innovation (51 citations) and Statistical and Nonlinear Physics (78 citations). Pascal Billand has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Nadine Massard, Corinne Autant‐Bernard, Sudipta Sarangi, Sumit Joshi, S. S. Iyengar, Rajnish Kumar and Jurjen Kamphorst. Their work appears in journals such as Mathematical Social Sciences, Journal of Public Economic Theory, International Journal of Industrial Organization, Economics Letters and The Annals of Regional Science.

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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