Tim Baarslag

2.2k citations
69 papers · 1.4k · h-index 22

Impact in

Papers in

Tim Baarslag

66 papers receiving 1.4k citations

Peers

Tim Baarslag
Comparison fields: 5 of 64
  • Management Science and Operations Research 595
  • Artificial Intelligence 1.1k
  • Management Information Systems 156
  • Safety Research 78
  • Computer Science Applications 43
Replace Shaheen Fatima with:
Shaheen Fatima United Kingdom
Pablo Noriega Spain
Nicolas Maudet France
Michael Wooldridge United Kingdom
Joris Hulstijn Netherlands
Hélder Coelho Portugal
Wamberto Vasconcelos United Kingdom
Gilad Zlotkin Israel
Huib Aldewereld Netherlands
Amy Greenwald United States
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Citations per field
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Shaheen Fatima · 1×
Citations per year

Countries citing papers authored by Tim Baarslag

Since Specialization
Citations

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

Fields of papers citing papers by Tim Baarslag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012146
2 2012132
3 2015118
4 201965
5 201165
6 201748
7 201345
8 201744
9 201439
10 201739
11 201535
12 201233
13 201331
14 201629
15 201728
16
Optimal incremental preference elicitation during negotiation
201528
17 201228
18 201628
19 201328
20 201826

About Tim Baarslag

Tim Baarslag is a scholar working on Artificial Intelligence, Management Science and Operations Research, Political Science and International Relations, Sociology and Political Science and Computer Networks and Communications, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (50 papers), Auction Theory and Applications (29 papers), Logic, Reasoning, and Knowledge (18 papers), Artificial Intelligence in Law (11 papers), Game Theory and Applications (7 papers), Reinforcement Learning in Robotics (6 papers), Privacy, Security, and Data Protection (5 papers) and Game Theory and Voting Systems (5 papers). The work is most often cited by research in Management Science and Operations Research (595 citations), Artificial Intelligence (1.1k citations), Management Information Systems (156 citations), Safety Research (78 citations) and Computer Science Applications (43 citations). Tim Baarslag has collaborated with scholars based in Netherlands, United Kingdom and Türkiye. Frequent co-authors include Catholijn M. Jonker, Koen V. Hindriks, Enrico Gerding, Reyhan Aydoğan, Raz Lin, Mark Hendrikx, Sarit Kraus, Michael Kaisers, Katsuhide Fujita and Takayuki Itō. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Knowledge and Information Systems, Lecture notes in computer science, Expert Systems with Applications and Decision Support Systems.

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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