Manfred Eppe

581 citations
35 papers · 376 · h-index 11

Impact in

Papers in

Manfred Eppe

34 papers receiving 364 citations

Peers

Manfred Eppe
Comparison fields: 5 of 54
  • Artificial Intelligence 217
  • Control and Systems Engineering 75
  • General Engineering 1
  • Experimental and Cognitive Psychology 47
  • Computer Vision and Pattern Recognition 45
Replace Deepak Gopinath with:
Deepak Gopinath United States
Shane Griffith United States
Akira Taniguchi Japan
Stephen E. Levinson United States
The Duy Bui Vietnam
Matthew Luciw Switzerland
Andrea Zunino Italy
Isabelle Ferrané France
Andrew Melnik Germany
Matthias Rolf Germany
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Citations per field
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Citations per year

Countries citing papers authored by Manfred Eppe

Since Specialization
Citations

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

Fields of papers citing papers by Manfred Eppe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202263
2 201747
3 201926
4 201624
5 201519
6 201816
7 202115
8 202315
9 201913
10 202013
11 201612
12 201611
13 201310
14 20149
15 20159
16 20198
17 20157
18 20186
19 20155
20 20155

About Manfred Eppe

Manfred Eppe is a scholar working on Artificial Intelligence, Control and Systems Engineering, Social Psychology, Cognitive Neuroscience and Signal Processing, having authored 35 papers that have together received 376 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (10 papers), Reinforcement Learning in Robotics (8 papers), Robot Manipulation and Learning (7 papers), Social Robot Interaction and HRI (5 papers), Embodied and Extended Cognition (4 papers), Speech and dialogue systems (3 papers), Cognitive Computing and Networks (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (217 citations), Control and Systems Engineering (75 citations), General Engineering (1 citation), Experimental and Cognitive Psychology (47 citations) and Computer Vision and Pattern Recognition (45 citations). Manfred Eppe has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Stefan Wermter, Matthias Kerzel, Roberto Confalonieri, Marco Schorlemmer, Oliver Kutz, Enric Plaza, Martin V. Butz, Mehul Bhatt, Kai‐Uwe Kühnberger and Jerome A. Feldman. Their work appears in journals such as Journal of Applied Logic, Frontiers in Psychology, IEEE Transactions on Cognitive and Developmental Systems, Artificial Intelligence and IEEE Access.

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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