Tim Baarslag

2.2k total citations
41 papers, 779 citations indexed

About

Tim Baarslag is a scholar working on Artificial Intelligence, Management Science and Operations Research and Political Science and International Relations. According to data from OpenAlex, Tim Baarslag has authored 41 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 15 papers in Management Science and Operations Research and 7 papers in Political Science and International Relations. Recurrent topics in Tim Baarslag's work include Multi-Agent Systems and Negotiation (27 papers), Auction Theory and Applications (13 papers) and Logic, Reasoning, and Knowledge (8 papers). Tim Baarslag is often cited by papers focused on Multi-Agent Systems and Negotiation (27 papers), Auction Theory and Applications (13 papers) and Logic, Reasoning, and Knowledge (8 papers). Tim Baarslag collaborates with scholars based in Netherlands, United Kingdom and Türkiye. Tim Baarslag's co-authors include Catholijn M. Jonker, Koen V. Hindriks, Enrico Gerding, Michael Kaisers, Mark Hendrikx, Shantanu Chakraborty, Sarit Kraus, Raz Lin, Reyhan Aydoğan and Takayuki Itō and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Artificial Intelligence.

In The Last Decade

Tim Baarslag

41 papers receiving 750 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Baarslag Netherlands 16 528 267 143 87 85 41 779
Fariba Sadri United Kingdom 14 751 1.4× 104 0.4× 64 0.4× 126 1.4× 42 0.5× 38 1.1k
Michael Wooldridge United Kingdom 9 705 1.3× 267 1.0× 99 0.7× 99 1.1× 21 0.2× 14 930
Nicolas Maudet France 18 513 1.0× 505 1.9× 55 0.4× 82 0.9× 19 0.2× 64 1.0k
Hélder Coelho Portugal 13 287 0.5× 112 0.4× 57 0.4× 31 0.4× 113 1.3× 87 538
Nicholas Mattei United States 15 366 0.7× 215 0.8× 55 0.4× 82 0.9× 18 0.2× 83 815
Joris Hulstijn Netherlands 16 541 1.0× 107 0.4× 100 0.7× 151 1.7× 7 0.1× 86 825
Wamberto Vasconcelos United Kingdom 16 533 1.0× 117 0.4× 125 0.9× 160 1.8× 12 0.1× 84 706
James Michaelis United States 10 268 0.5× 135 0.5× 39 0.3× 155 1.8× 35 0.4× 37 561
Amy Greenwald United States 20 378 0.7× 907 3.4× 66 0.5× 62 0.7× 87 1.0× 63 1.3k
Toshihiro Kamishima Japan 12 377 0.7× 166 0.6× 79 0.6× 304 3.5× 16 0.2× 39 733

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-authorship network of co-authors of Tim Baarslag

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Baarslag. A scholar is included among the top collaborators of Tim Baarslag based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim Baarslag. Tim Baarslag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jonge, Dave de, et al.. (2023). Search algorithms for automated negotiation in large domains. Annals of Mathematics and Artificial Intelligence. 92(4). 903–924. 1 indexed citations
2.
Baarslag, Tim, et al.. (2022). Automated privacy negotiations with preference uncertainty. Autonomous Agents and Multi-Agent Systems. 36(2). 8 indexed citations
3.
Aydoğan, Reyhan, Tim Baarslag, & Enrico Gerding. (2021). Artificial Intelligence Techniques for Conflict Resolution. Group Decision and Negotiation. 30(4). 879–883. 4 indexed citations
4.
Baarslag, Tim, et al.. (2021). Bargaining Chips: Coordinating One-to-Many Concurrent Composite Negotiations. Data Archiving and Networked Services (DANS). 390–397. 1 indexed citations
5.
Bakker, J.J.W., et al.. (2019). RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 260–268. 14 indexed citations
6.
Gratch, Jonathan, et al.. (2019). The Likeability-Success Tradeoff: Results of the 2nd Annual Human-Agent Automated Negotiating Agents Competition. Data Archiving and Networked Services (DANS). 1–7. 7 indexed citations
7.
Sánchez-Anguix, Víctor, Reyhan Aydoğan, Tim Baarslag, & Catholijn M. Jonker. (2019). Bottom-up approaches to achieve Pareto optimal agreements in group decision making. Knowledge and Information Systems. 61(2). 1019–1046. 5 indexed citations
8.
Kaisers, Michael, et al.. (2019). Preference Learning in Automated Negotiation Using Gaussian Uncertainty Models. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 2087–2089. 2 indexed citations
9.
Baarslag, Tim & Michael Kaisers. (2017). The Value of Information in Automated Negotiation: A Decision Model for Eliciting User Preferences. Adaptive Agents and Multi-Agents Systems. 391–400. 14 indexed citations
10.
Baarslag, Tim, et al.. (2017). An Automated Negotiation Agent for Permission Management. ORCA Online Research @Cardiff (Cardiff University). 380–390. 27 indexed citations
11.
Chen, Shaofei, Tim Baarslag, Dengji Zhao, Jing Chen, & Lincheng Shen. (2016). A polynomial time optimal algorithm for robot-human search under uncertainty. ePrints Soton (University of Southampton). 819–825. 2 indexed citations
12.
Baarslag, Tim, Mark Hendrikx, Koen V. Hindriks, & Catholijn M. Jonker. (2016). A Survey of Opponent Modeling Techniques in Automated Negotiation. Adaptive Agents and Multi-Agents Systems. 575–576. 8 indexed citations
13.
Perera, Charith, Susan Y. L. Wakenshaw, Tim Baarslag, et al.. (2016). Valorising the IoT Databox: creating value for everyone. Transactions on Emerging Telecommunications Technologies. 28(1). 28 indexed citations
14.
Baarslag, Tim, et al.. (2016). Interactive scheduling of appliance usage in the home. ePrints Soton (University of Southampton). 869–875. 9 indexed citations
15.
Baarslag, Tim. (2016). Exploring the Strategy Space of Negotiating Agents. Springer theses. 7 indexed citations
16.
Baarslag, Tim & Enrico Gerding. (2015). Optimal incremental preference elicitation during negotiation. ePrints Soton (University of Southampton). 3–9. 20 indexed citations
17.
Baarslag, Tim, et al.. (2015). Negotiating mobile app permissions. ePrints Soton (University of Southampton). 1 indexed citations
18.
Baarslag, Tim. (2013). Designing an automated negotiator: learning what to bid and when to stop. Adaptive Agents and Multi-Agents Systems. 1419–1420. 2 indexed citations
19.
Baarslag, Tim & Koen V. Hindriks. (2013). Accepting optimally in automated negotiation with incomplete information. Adaptive Agents and Multi-Agents Systems. 715–722. 24 indexed citations
20.
Baarslag, Tim, Katsuhide Fujita, Enrico Gerding, et al.. (2012). Evaluating practical negotiating agents: Results and analysis of the 2011 international competition. Artificial Intelligence. 198. 73–103. 96 indexed citations

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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