Gregor Behnke

1.0k citations
53 papers · 597 · h-index 15

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • AI-based Problem Solving and Planning
    • Logic, Reasoning, and Knowledge
    • Semantic Web and Ontologies
    • Multi-Agent Systems and Negotiation
    • AI in Service Interactions

Papers in

Gregor Behnke

50 papers receiving 523 citations

Peers

Gregor Behnke
Comparison fields: 5 of 32
  • Software 73
  • Artificial Intelligence 537
  • Computational Theory and Mathematics 91
  • Human-Computer Interaction 28
  • Computer Networks and Communications 105
Replace Daniel Höller with:
Daniel Höller Germany
Ron Alford United States
Martin Wehrle Switzerland
R. Venkatesh India
Falk Howar Germany
Helen Treharne United Kingdom
Sean McDirmid United States
Torbjörn Lager Sweden
Ravi Chugh United States
Jens Lincke Germany
Gregor Behnke relative to Daniel Höller Germany Daniel Höller's profile →
Citations per field
00.5×1.5×
Daniel Höller · 1×
Citations per year

Countries citing papers authored by Gregor Behnke

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Behnke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202040
2 201833
3 201532
4 201632
5 201731
6 201830
7 201628
8 201924
9 202024
10 201922
11 202020
12 201619
13 201717
14 201817
15 202016
16 201914
17 201913
18 201813
19 201512
20 201511

About Gregor Behnke

Gregor Behnke is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Software, having authored 53 papers that have together received 597 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (42 papers), Logic, Reasoning, and Knowledge (21 papers), Semantic Web and Ontologies (21 papers), Formal Methods in Verification (9 papers), Model-Driven Software Engineering Techniques (6 papers), Constraint Satisfaction and Optimization (6 papers), Multi-Agent Systems and Negotiation (6 papers) and Context-Aware Activity Recognition Systems (5 papers). The work is most often cited by research in Software (73 citations), Artificial Intelligence (537 citations), Computational Theory and Mathematics (91 citations), Human-Computer Interaction (28 citations) and Computer Networks and Communications (105 citations). Gregor Behnke has collaborated with scholars based in Germany, Australia and Netherlands. Frequent co-authors include Susanne Biundo, Daniel Höller, Pascal Bercher, Ron Alford, Wolfgang Minker, Birte Glimm, Michael Dorna, Matthias Kraus, Damien Pellier and Roman Barták. Their work appears in journals such as AI Magazine, Journal of Artificial Intelligence Research, KI - Künstliche Intelligenz, AI Communications and INTELIGENCIA ARTIFICIAL.

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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