Philippe De Wilde

1.8k citations
95 papers · 987 · h-index 17

Impact in

Papers in

Philippe De Wilde

90 papers receiving 931 citations

Peers

Philippe De Wilde
Comparison fields: 5 of 127
  • Artificial Intelligence 285
  • Statistical and Nonlinear Physics 98
  • Management Science and Operations Research 97
  • Signal Processing 82
  • Transportation 45
Replace Pericles A. Mitkas with:
Pericles A. Mitkas Greece
Ye Chen China
James J. Thomas United States
Paul Lewis United Kingdom
Chaoqun Ma China
Fabio Ciravegna United Kingdom
Ying Zhao China
Meng Han China
Lukáš Chrpa Czechia
Yan Fu China
Philippe De Wilde relative to Pericles A. Mitkas Greece Pericles A. Mitkas's profile →
Citations per field
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Pericles A. Mitkas · 1×
Citations per year

Countries citing papers authored by Philippe De Wilde

Since Specialization
Citations

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

Fields of papers citing papers by Philippe De Wilde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe De Wilde. 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 Philippe De Wilde. The network helps show where Philippe De Wilde may publish in the future.

Co-authors

The 25 scholars most cited alongside Philippe De Wilde, 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 Philippe De Wilde Line = papers co-authored together Philippe De Wilde links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200675
2 201666
3 199765
4 199862
5 201462
6 200042
7 200636
8 201734
9 200429
10 201025
11 201022
12 200421
13 200919
14 200418
15 200417
16 199617
17 200816
18 201515
19 200915
20 202214

About Philippe De Wilde

Philippe De Wilde is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 95 papers that have together received 987 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (8 papers), Game Theory and Applications (8 papers), Evolutionary Algorithms and Applications (6 papers), Modular Robots and Swarm Intelligence (6 papers), Evolutionary Game Theory and Cooperation (6 papers), Neural Networks and Applications (6 papers), Auction Theory and Applications (6 papers) and Peer-to-Peer Network Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Statistical and Nonlinear Physics (98 citations), Management Science and Operations Research (97 citations), Signal Processing (82 citations) and Transportation (45 citations). Philippe De Wilde has collaborated with scholars based in United Kingdom, Malaysia and Belgium. Frequent co-authors include Gerard Briscoe, Ibrahim Venkat, Azhar Mohd Ibrahim, Hyacinth S. Nwana, K. G. Subramanian, Ahamad Tajudin Khader, Divine T. Ndumu, Anna V. Kononova, David Corne and Vsevolod Shneer. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Expert Systems with Applications, Neurocomputing, PLoS ONE and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

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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