Markus Guhe

759 citations
53 papers · 556 · h-index 12

Impact in

Papers in

Markus Guhe

50 papers receiving 506 citations

Peers

Markus Guhe
Comparison fields: 5 of 83
  • Artificial Intelligence 357
  • Experimental and Cognitive Psychology 95
  • Computer Vision and Pattern Recognition 97
  • Cognitive Neuroscience 81
  • Human-Computer Interaction 24
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Carmén García Mateo Spain
Ivana Kruijff‐Korbayová Germany
Hung‐Hsuan Huang Japan
Chloé Clavel France
Nik Swoboda Spain
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Raquel Hervás Spain
Rafael Pérez y Pérez Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Markus Guhe

Since Specialization
Citations

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

Fields of papers citing papers by Markus Guhe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Guhe, 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 Markus Guhe Line = papers co-authored together Markus Guhe 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 200880
2
Proceedings of the International Conference on Computational Creativity
201076
3 200957
4 201728
5 201128
6 200522
7 201421
8 200517
9
Proceedings of the European Chapter of the Association for Computational Linguistics (EACL 2017)
201714
10
Adapting referring expressions to the task environment
200814
11
Modelling Strategic Conversation: model, annotation design and corpus
201213
12
Mathematical reasoning with higher-order anti-unifcation
201012
13 201411
14 20149
15 20169
16
Proceedings of the Second International Conference on Analogy
20099
17
Trading in a multiplayer board game: Towards an analysis of non-cooperative dialogue
20127
18
Towards an Affective Cognitive Architecture
20047
19 20127
20 20007

About Markus Guhe

Markus Guhe is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Management Science and Operations Research, Cognitive Neuroscience and Safety Research, having authored 53 papers that have together received 556 indexed citations. Recurring topics across this work include Speech and dialogue systems (22 papers), Natural Language Processing Techniques (16 papers), AI-based Problem Solving and Planning (8 papers), Multi-Agent Systems and Negotiation (8 papers), Language, Metaphor, and Cognition (8 papers), Topic Modeling (7 papers), Artificial Intelligence in Games (5 papers) and Experimental Behavioral Economics Studies (4 papers). The work is most often cited by research in Artificial Intelligence (357 citations), Experimental and Cognitive Psychology (95 citations), Computer Vision and Pattern Recognition (97 citations), Cognitive Neuroscience (81 citations) and Human-Computer Interaction (24 citations). Markus Guhe has collaborated with scholars based in United Kingdom, Germany and Australia. Frequent co-authors include Alison Pease, Alan Smaill, Alex Lascarides, Ellen Gurman Bard, Alois Knoll, Jon Oberlander, Robin L. Hill, Mary Ellen Foster, Michael J. Schoelles and Wayne D. Gray. Their work appears in journals such as Topics in Cognitive Science, Cognitive Science, Review of Philosophy and Psychology, Language Resources and Evaluation and Behavioral and Brain Sciences.

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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