Gerhard Lakemeyer

115 papers and 1.5k indexed citations i.

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 115 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gerhard Lakemeyer’s work include Logic, Reasoning, and Knowledge (71 papers), AI-based Problem Solving and Planning (42 papers) and Multi-Agent Systems and Negotiation (39 papers). Gerhard Lakemeyer is often cited by papers focused on Logic, Reasoning, and Knowledge (71 papers), AI-based Problem Solving and Planning (42 papers) and Multi-Agent Systems and Negotiation (39 papers). Gerhard Lakemeyer collaborates with scholars based in Germany, Canada and United States. Gerhard Lakemeyer's co-authors include Hector J. Levesque, Dirk Hähnel, Armin B. Cremers, Dieter Fox, Dirk Schulz, Sebastian Thrun, Wolfram Burgard, Alexander Ferrein, Vaishak Belle and Henrik Großkreutz and has published in prestigious journals such as The Journal of the Acoustical Society of America, Artificial Intelligence and IEEE Internet of Things Journal.

In The Last Decade

Co-authorship network of co-authors of Gerhard Lakemeyer i

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.

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).

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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