Dave de Jonge

469 citations
43 papers · 340 · h-index 11

Impact in

Papers in

Dave de Jonge

42 papers receiving 337 citations

Peers

Dave de Jonge
Comparison fields: 5 of 56
  • Management Science and Operations Research 82
  • Environmental Engineering 74
  • Artificial Intelligence 174
  • Health, Toxicology and Mutagenesis 57
  • Automotive Engineering 49
Replace Lidia Contreras-Ochando with:
Lidia Contreras-Ochando Spain
Ryan Elmore United States
Javier Linkolk López‐Gonzales Peru
Cezary Orłowski Poland
Fuxin Jiang China
Erlong Zhao China
George Kamiya Switzerland
Jasleen Kaur Sethi India
Jiaming Zhu China
Dave de Jonge relative to Lidia Contreras-Ochando Spain Lidia Contreras-Ochando's profile →
Citations per field
00.5×6.7×
Lidia Contreras-Ochando · 1×
Citations per year

Countries citing papers authored by Dave de Jonge

Since Specialization
Citations

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

Fields of papers citing papers by Dave de Jonge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dave de Jonge. 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 Dave de Jonge. The network helps show where Dave de Jonge may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201873
2 201431
3 202019
4 201917
5 201615
6 201714
7 201713
8 201912
9
Negotiations over large agreement spaces
201510
10 201610
11 201810
12 20249
13 20229
14 20217
15 20226
16 20136
17 20206
18 20156
19 20165
20 20234

About Dave de Jonge

Dave de Jonge is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Automotive Engineering and Control and Systems Engineering, having authored 43 papers that have together received 340 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (21 papers), Logic, Reasoning, and Knowledge (12 papers), Auction Theory and Applications (9 papers), Artificial Intelligence in Games (6 papers), Peer-to-Peer Network Technologies (5 papers), Traffic control and management (5 papers), Air Quality and Health Impacts (4 papers) and Access Control and Trust (4 papers). The work is most often cited by research in Management Science and Operations Research (82 citations), Environmental Engineering (74 citations), Artificial Intelligence (174 citations), Health, Toxicology and Mutagenesis (57 citations) and Automotive Engineering (49 citations). Dave de Jonge has collaborated with scholars based in Spain, Australia and Netherlands. Frequent co-authors include Carles Sierra, Dongmo Zhang, Bas Mijling, Stefano Bocconi, Tim Baarslag, Jordi Levy, Reyhan Aydoğan, Filippo Bistaffa, Catholijn M. Jonker and Katsuhide Fujita. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Applied Intelligence, Lecture notes in computer science, Atmospheric Environment and Environment International.

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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