Gerhard Lakemeyer

5.3k total citations · 1 hit paper
151 papers, 2.6k citations indexed

About

Gerhard Lakemeyer is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gerhard Lakemeyer has authored 151 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Artificial Intelligence, 23 papers in Computational Theory and Mathematics and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gerhard Lakemeyer's work include Logic, Reasoning, and Knowledge (90 papers), AI-based Problem Solving and Planning (51 papers) and Multi-Agent Systems and Negotiation (49 papers). Gerhard Lakemeyer is often cited by papers focused on Logic, Reasoning, and Knowledge (90 papers), AI-based Problem Solving and Planning (51 papers) and Multi-Agent Systems and Negotiation (49 papers). Gerhard Lakemeyer collaborates with scholars based in Germany, Canada and Australia. Gerhard Lakemeyer's co-authors include Bernhard Nebel, Hector J. Levesque, Dirk Schulz, Sebastian Thrun, Armin B. Cremers, Dirk Hähnel, Wolfram Burgard, Dieter Fox, Alexander Ferrein and Vaishak Belle and has published in prestigious journals such as Scientific Reports, The Journal of the Acoustical Society of America and Artificial Intelligence.

In The Last Decade

Gerhard Lakemeyer

141 papers receiving 2.4k citations

Hit Papers

Experiences with an interactive museum tour-guide robot 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerhard Lakemeyer Germany 22 1.5k 762 445 432 365 151 2.6k
Anthony R. Cassandra United States 11 2.1k 1.4× 723 0.9× 502 1.1× 440 1.0× 161 0.4× 17 3.5k
Luca Iocchi Italy 28 776 0.5× 1.2k 1.6× 422 0.9× 625 1.4× 158 0.4× 165 2.5k
David Kortenkamp United States 20 624 0.4× 665 0.9× 376 0.8× 549 1.3× 201 0.6× 82 1.7k
Marc Toussaint Germany 30 1.6k 1.1× 1.1k 1.4× 1.4k 3.0× 270 0.6× 168 0.5× 159 3.5k
George Konidaris United States 31 1.7k 1.1× 904 1.2× 1.2k 2.7× 310 0.7× 100 0.3× 114 2.9k
Gal A. Kaminka Israel 28 1.3k 0.9× 965 1.3× 398 0.9× 511 1.2× 109 0.3× 150 2.9k
Charles Rosenberg United States 15 643 0.4× 729 1.0× 337 0.8× 316 0.7× 326 0.9× 22 1.7k
Wee Sun Lee Singapore 26 2.1k 1.4× 720 0.9× 313 0.7× 185 0.4× 87 0.2× 62 3.0k
Joseph Modayil Canada 16 906 0.6× 554 0.7× 341 0.8× 351 0.8× 45 0.1× 30 1.9k
Matthew E. Taylor United States 32 2.6k 1.8× 438 0.6× 829 1.9× 116 0.3× 91 0.2× 160 3.8k

Countries citing papers authored by Gerhard Lakemeyer

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Lakemeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Lakemeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Lakemeyer. A scholar is included among the top collaborators of Gerhard Lakemeyer 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 Gerhard Lakemeyer. Gerhard Lakemeyer 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.
Zhao, Meng, et al.. (2021). KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation. 525–535. 23 indexed citations
2.
Schiffer, Stefan, et al.. (2018). Constraint-Based Online Transformation of Abstract Plans into Executable Robot Actions.. National Conference on Artificial Intelligence. 2 indexed citations
3.
Lakemeyer, Gerhard, et al.. (2014). Exploring the boundaries of decidable verification of non-terminating Golog programs. RWTH Publications (RWTH Aachen). 1012–1019. 10 indexed citations
4.
Lakemeyer, Gerhard & Hector J. Levesque. (2014). Decidable reasoning in a fragment of the epistemic situation calculus. Principles of Knowledge Representation and Reasoning. 468–477. 9 indexed citations
5.
Baier, Klaus, et al.. (2014). Towards Using i* for Modeling Mega-Urban Processes.. 1 indexed citations
6.
Belle, Vaishak & Gerhard Lakemeyer. (2014). On the progression of knowledge in multiagent systems. Edinburgh Research Explorer (University of Edinburgh). 590–593. 2 indexed citations
7.
Belle, Vaishak & Gerhard Lakemeyer. (2011). On progression and query evaluation in first-order knowledge bases with function symbols. International Joint Conference on Artificial Intelligence. 744–749. 6 indexed citations
8.
Lakemeyer, Gerhard & Hector J. Levesque. (2006). Towards an axiom system for default logic. RWTH Publications (RWTH Aachen). 263–268. 4 indexed citations
9.
Ferrein, Alexander, Christian Fritz, & Gerhard Lakemeyer. (2005). Using Golog for Deliberation and Team Coordination in Robotic Soccer.. Künstliche Intell.. 19(2). 24–57. 25 indexed citations
10.
Ferrein, Alexander, et al.. (2005). Controlling Unreal Tournament 2004 Bots with the Logic-Based Action Language GOLOG. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 1(1). 151–152. 9 indexed citations
11.
Lakemeyer, Gerhard & Hector J. Levesque. (2005). Only-knowing: taking it beyond autoepistemic reasoning. RWTH Publications (RWTH Aachen). 633–638. 12 indexed citations
12.
Liu, Yongmei, Gerhard Lakemeyer, & Hector J. Levesque. (2004). A logic of limited belief for reasoning with disjunctive information. RWTH Publications (RWTH Aachen). 587–597. 19 indexed citations
13.
Ferrein, Alexander, et al.. (2003). Extending DTGOLOG with options. RWTH Publications (RWTH Aachen). 1394–1395. 6 indexed citations
14.
Lakemeyer, Gerhard. (1995). A logical account of relevance. International Joint Conference on Artificial Intelligence. 853–859. 11 indexed citations
15.
Lakemeyer, Gerhard. (1993). All they know about. National Conference on Artificial Intelligence. 662–667. 8 indexed citations
16.
Lakemeyer, Gerhard. (1993). All they know: a study in multi-agent autoepistemic reasoning. International Joint Conference on Artificial Intelligence. 376–381. 18 indexed citations
17.
Lakemeyer, Gerhard. (1991). A model of decidable introspective reasoning with quantifying-in. International Joint Conference on Artificial Intelligence. 492–497. 2 indexed citations
18.
Lakemeyer, Gerhard. (1991). On the Relation between Explicit and Implicit Belief.. Principles of Knowledge Representation and Reasoning. 368–375. 6 indexed citations
19.
Lakemeyer, Gerhard. (1990). Decidable reasoning in first-order knowledge bases with perfect introspection. National Conference on Artificial Intelligence. 531–537. 3 indexed citations
20.
Lakemeyer, Gerhard. (1987). Tractable meta-reasoning in propositional logics of belief. International Joint Conference on Artificial Intelligence. 402–408. 29 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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