Michael Kaisers

1.8k total citations
49 papers, 886 citations indexed

About

Michael Kaisers is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Kaisers has authored 49 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 21 papers in Management Science and Operations Research and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Kaisers's work include Smart Grid Energy Management (16 papers), Auction Theory and Applications (12 papers) and Game Theory and Applications (11 papers). Michael Kaisers is often cited by papers focused on Smart Grid Energy Management (16 papers), Auction Theory and Applications (12 papers) and Game Theory and Applications (11 papers). Michael Kaisers collaborates with scholars based in Netherlands, United Kingdom and United States. Michael Kaisers's co-authors include Karl Tuyls, Daan Bloembergen, Pablo Hernández-Leal, Daniel Hennes, Fernando Lezama, Tiago Pinto, Zita Vale, João Soares, Tim Baarslag and Shantanu Chakraborty and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and Journal of Machine Learning Research.

In The Last Decade

Michael Kaisers

45 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Kaisers Netherlands 11 370 250 205 199 136 49 886
Georgios Chalkiadakis Greece 17 281 0.8× 307 1.2× 151 0.7× 453 2.3× 65 0.5× 69 1.2k
Ramachandra Kota United Kingdom 10 352 1.0× 308 1.2× 136 0.7× 63 0.3× 71 0.5× 19 802
Fenghui Ren Australia 14 206 0.6× 201 0.8× 162 0.8× 112 0.6× 92 0.7× 60 596
Chunhong Zhang China 14 240 0.6× 487 1.9× 48 0.2× 100 0.5× 118 0.9× 112 1.0k
Bilal Abu-Salih Jordan 17 111 0.3× 278 1.1× 51 0.2× 62 0.3× 132 1.0× 54 820
Robert H. Crites United States 6 47 0.1× 419 1.7× 195 1.0× 171 0.9× 94 0.7× 7 738
Amril Nazir United Arab Emirates 13 163 0.4× 202 0.8× 51 0.2× 43 0.2× 151 1.1× 48 732
Aparna S. Varde United States 15 57 0.2× 351 1.4× 48 0.2× 40 0.2× 43 0.3× 116 867
Kiran Lakkaraju United States 13 257 0.7× 314 1.3× 16 0.1× 108 0.5× 127 0.9× 52 1.1k
Balbir Barn United Kingdom 12 134 0.4× 105 0.4× 60 0.3× 35 0.2× 61 0.4× 88 929

Countries citing papers authored by Michael Kaisers

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kaisers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kaisers

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kaisers. A scholar is included among the top collaborators of Michael Kaisers 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 Michael Kaisers. Michael Kaisers 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.
Kaisers, Michael, et al.. (2019). Forecast-Based Mechanisms for Demand Response. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1600–1608. 2 indexed citations
2.
Klíma, Richard, Daan Bloembergen, Michael Kaisers, & Karl Tuyls. (2019). Robust Temporal Difference Learning for Critical Domains. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 350–358.
3.
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
4.
Lezama, Fernando, João Soares, Pablo Hernández-Leal, et al.. (2018). Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems. IEEE Transactions on Power Systems. 34(5). 4081–4088. 247 indexed citations
5.
Kaisers, Michael, et al.. (2018). Renewable electricity trading through SLAs. Energy Informatics. 1(1). 4 indexed citations
6.
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
7.
Kaisers, Michael, et al.. (2017). SLA-Mechanisms for Electricity Trading under Volatile Supply and Varying Criticality of Demand. Adaptive Agents and Multi-Agents Systems. 1640–1642. 3 indexed citations
8.
Oliehoek, Frans A., et al.. (2016). Energy- and Cost-Efficient Pumping Station Control. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 3 indexed citations
9.
Abdallah, Sherief & Michael Kaisers. (2016). Addressing environment non-stationarity by repeating Q-learning updates. Journal of Machine Learning Research. 17(1). 1582–1612. 24 indexed citations
10.
Kaisers, Michael, et al.. (2016). Incentivizing intelligent customer behavior in smart-grids: a risk-sharing tariff & optimal strategies. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 380–386. 5 indexed citations
11.
Abdallah, Sherief & Michael Kaisers. (2015). Improving Multi-agent Learners Using Less-Biased Value Estimators. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 120–124. 1 indexed citations
12.
Cossentino, Massimo, Michael Kaisers, Karl Tuyls, & Gerhard Weiß. (2012). Multi-Agent Systems: 9th European Workshop, EUMAS 2011, Maastricht, The Netherlands, November 14-15, 2011. Revised Selected Papers. Springer eBooks. 3 indexed citations
13.
Wunder, Michael B., et al.. (2012). A framework for modeling population strategies by depth of reasoning. Adaptive Agents and Multi-Agents Systems. 947–954. 4 indexed citations
14.
Kaisers, Michael, Daan Bloembergen, & Karl Tuyls. (2012). A common gradient in multi-agent reinforcement learning. Adaptive Agents and Multi-Agents Systems. 1393–1394. 5 indexed citations
15.
Bloembergen, Daan, Michael Kaisers, & Karl Tuyls. (2011). Empirical and theoretical support for lenient learning. Adaptive Agents and Multi-Agents Systems. 1105–1106. 3 indexed citations
16.
Bloembergen, Daan, Daniel Hennes, Steven de Jong, et al.. (2011). Bee-inspired foraging in an embodied swarm. Adaptive Agents and Multi-Agents Systems. 1311–1312. 9 indexed citations
17.
Wunder, Michael B., et al.. (2011). Using iterated reasoning to predict opponent strategies. Adaptive Agents and Multi-Agents Systems. 593–600. 23 indexed citations
18.
Kaisers, Michael & Karl Tuyls. (2011). FAQ-learning in matrix games: demonstrating convergence near Nash equilibria, and bifurcation of attractors in the battle of sexes. National Conference on Artificial Intelligence. 36–42. 12 indexed citations
19.
Wunder, Michael B., et al.. (2010). A cognitive hierarchy model applied to the lemonade game. National Conference on Artificial Intelligence. 66–73. 4 indexed citations
20.
Kaisers, Michael, Karl Tuyls, Simon Parsons, & Frank Thuijsman. (2009). An evolutionary model of multi-agent learning with a varying exploration rate. Research Publications (Maastricht University). 1255–1256. 8 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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