Manfred Eppe
Impact in
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Reinforcement Learning in Robotics
- AI-based Problem Solving and Planning
- Natural Language Processing Techniques
- Topic Modeling
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- Language, Metaphor, and Cognition
Papers in
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- Reinforcement Learning in Robotics 5
- Semantic Web and Ontologies 5
- Logic, Reasoning, and Knowledge 4
- Natural Language Processing Techniques 3
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- Robot Manipulation and Learning 7
- Co-authors
- Stefan Wermter (14 shared papers)Matthias Kerzel (6 shared papers)Roberto Confalonieri (5 shared papers)Martin V. Butz (1 shared paper)Marco Schorlemmer (5 shared papers)Oliver Kutz (4 shared papers)Enric Plaza (4 shared papers)Kai‐Uwe Kühnberger (2 shared papers)
- Journals
- Journal of Applied Logic (2 papers)Nature Machine Intelligence (1 paper)Frontiers in Psychology (1 paper)IEEE Access (1 paper)Artificial Intelligence (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Manfred Eppe
23 papers receiving 197 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 95
- Experimental and Cognitive Psychology 31
- Health Informatics 3
- Computer Vision and Pattern Recognition 43
- Cognitive Neuroscience 37
Countries citing papers authored by Manfred Eppe
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
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 24 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.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 57 | |
| 2 | 2017 | 35 | |
| 3 | 2019 | 18 | |
| 4 | 2021 | 13 | |
| 5 | 2015 | 12 | |
| 6 | 2023 | 11 | |
| 7 | 2016 | 8 | |
| 8 | 2016 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2015 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2022 | 2 |
About Manfred Eppe
Manfred Eppe is a scholar working on Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 208 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 Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Artificial Intelligence (95 citations), Experimental and Cognitive Psychology (31 citations), Health Informatics (3 citations), Computer Vision and Pattern Recognition (43 citations) and Cognitive Neuroscience (37 citations). Manfred Eppe has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Stefan Wermter, Matthias Kerzel, Roberto Confalonieri, Martin V. Butz, Marco Schorlemmer, Oliver Kutz, Enric Plaza, Kai‐Uwe Kühnberger, Ewen Maclean and Mehul Bhatt. Their work appears in journals such as Journal of Applied Logic, Nature Machine Intelligence, Frontiers in Psychology, IEEE Access and Artificial 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.