Manfred Eppe

456 citations
23 papers · 201 indexed · h-index 8

Impact in

Papers in

    • Reinforcement Learning in Robotics 5
    • Semantic Web and Ontologies 5
    • Logic, Reasoning, and Knowledge 4
    • Natural Language Processing Techniques 3
    • AI-based Problem Solving and Planning 2

Manfred Eppe

23 papers receiving 190 citations

Peers

Manfred Eppe
Comparison fields: 5 of 70
  • Artificial Intelligence 94
  • Experimental and Cognitive Psychology 31
  • Health Informatics 3
  • Computer Vision and Pattern Recognition 42
  • Cognitive Neuroscience 36
Replace Eleni Efthimiou with:
Eleni Efthimiou Greece
Rony Kubat United States
Irvin Dongo Peru
Tong Xue China
Felix Kistler Germany
Stanislav Ondáš Slovakia
Salisu Wada Yahaya United Kingdom
Zerrin Yumak Netherlands
Erik Strahl Germany
Weizhe Lin United Kingdom
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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 23 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202251
2 201735
3 201918
4 202113
5 201512
6 202311
7 20168
8 20168
9 20197
10 20215
11 20154
12 20154
13 20214
14 20184
15 20203
16 20173
17 20152
18 20192
19 20222
20 20182

About Manfred Eppe

Manfred Eppe is a scholar working on Developmental Biology, Artificial Intelligence, Cognitive Neuroscience, Control and Systems Engineering and Social Psychology, having authored 23 papers that have together received 201 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (5 papers), Semantic Web and Ontologies (5 papers), Action Observation and Synchronization (4 papers), Logic, Reasoning, and Knowledge (4 papers), Social Robot Interaction and HRI (4 papers), Natural Language Processing Techniques (3 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Artificial Intelligence (94 citations), Experimental and Cognitive Psychology (31 citations), Health Informatics (3 citations), Computer Vision and Pattern Recognition (42 citations) and Cognitive Neuroscience (36 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, Martin V. Butz, Enric Plaza, Oliver Kutz, Ewen Maclean, Kai‐Uwe Kühnberger and Mehul Bhatt. Their work appears in journals such as Journal of Applied Logic, IEEE Transactions on Cognitive and Developmental Systems, Artificial Intelligence, Frontiers in Psychology and Nature Machine Intelligence.

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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