Manfred Eppe

456 total citations
23 papers, 201 citations indexed

About

Manfred Eppe is a scholar working on Artificial Intelligence, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Manfred Eppe has authored 23 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 7 papers in Cognitive Neuroscience. Recurrent topics in Manfred Eppe's work include Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (5 papers) and Semantic Web and Ontologies (5 papers). Manfred Eppe is often cited by papers focused on Robot Manipulation and Learning (7 papers), Reinforcement Learning in Robotics (5 papers) and Semantic Web and Ontologies (5 papers). Manfred Eppe collaborates with scholars based in Germany, United States and Spain. Manfred Eppe's co-authors include Stefan Wermter, Matthias Kerzel, Marco Schorlemmer, Roberto Confalonieri, Martin V. Butz, Enric Plaza, Oliver Kutz, Ewen Maclean, Kai‐Uwe Kühnberger and Rafael Peñaloza and has published in prestigious journals such as IEEE Access, Frontiers in Psychology and Artificial Intelligence.

In The Last Decade

Manfred Eppe

23 papers receiving 190 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manfred Eppe Germany 8 94 42 36 31 31 23 201
Weizhe Lin United Kingdom 5 85 0.9× 90 2.1× 14 0.4× 33 1.1× 38 1.2× 19 228
Felix Kistler Germany 6 75 0.8× 52 1.2× 44 1.2× 25 0.8× 46 1.5× 9 223
Gibrán Fuentes-Pineda Mexico 9 103 1.1× 54 1.3× 76 2.1× 23 0.7× 69 2.2× 36 251
Matthias Denecke United States 8 149 1.6× 93 2.2× 19 0.5× 25 0.8× 26 0.8× 15 265
Shinji Abe Japan 7 39 0.4× 68 1.6× 38 1.1× 45 1.5× 13 0.4× 32 268
Anna Lekova Bulgaria 7 51 0.5× 23 0.5× 42 1.2× 34 1.1× 7 0.2× 47 182
Lilia Moshkina United States 9 114 1.2× 25 0.6× 41 1.1× 29 0.9× 33 1.1× 18 237
Eleni Efthimiou Greece 10 77 0.8× 71 1.7× 66 1.8× 39 1.3× 20 0.6× 50 357
Rony Kubat United States 7 62 0.7× 76 1.8× 17 0.5× 27 0.9× 24 0.8× 8 178
Alia Karim Abdul Hassan Iraq 9 115 1.2× 101 2.4× 16 0.4× 16 0.5× 60 1.9× 54 272

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-authorship network of co-authors of Manfred Eppe

This figure shows the co-authorship network connecting the top 25 collaborators of Manfred Eppe. A scholar is included among the top collaborators of Manfred Eppe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manfred Eppe. Manfred Eppe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eppe, Manfred, et al.. (2022). Intelligent problem-solving as integrated hierarchical reinforcement learning. Nature Machine Intelligence. 4(1). 11–20. 51 indexed citations
2.
Eppe, Manfred, et al.. (2022). Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics. 170–177. 2 indexed citations
3.
Kayhan, Ezgi, et al.. (2021). Sensorimotor Representation Learning for an “Active Self” in Robots: A Model Survey. edoc Publication server (Humboldt University of Berlin). 13 indexed citations
4.
Wermter, Stefan, et al.. (2021). The Embodied Crossmodal Self Forms Language and Interaction: A Computational Cognitive Review. Frontiers in Psychology. 12. 716671–716671. 5 indexed citations
5.
Eppe, Manfred & Pierre-Yves Oudeyer. (2021). Intelligent Behavior Depends on the Ecological Niche. KI - Künstliche Intelligenz. 35(1). 103–108. 4 indexed citations
6.
Eppe, Manfred, Stefan Wermter, Verena V. Hafner, & Yukie Nagai. (2021). Developmental Robotics and its Role Towards Artificial General Intelligence. KI - Künstliche Intelligenz. 35(1). 5–7. 1 indexed citations
7.
Kerzel, Matthias, et al.. (2020). Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks. IEEE Transactions on Cognitive and Developmental Systems. 14(4). 1331–1343. 3 indexed citations
8.
Eppe, Manfred, et al.. (2019). From semantics to execution: Integrating action planning with reinforcement learning for robotic tool use.. arXiv (Cornell University). 1 indexed citations
9.
Eppe, Manfred, et al.. (2019). From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving. Frontiers in Robotics and AI. 6. 123–123. 18 indexed citations
10.
11.
Barros, Pablo, Manfred Eppe, German I. Parisi, Xun Liu, & Stefan Wermter. (2019). Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification. Frontiers in Robotics and AI. 6. 137–137. 2 indexed citations
12.
Strahl, Erik, et al.. (2018). Hear the Egg - Demonstrating Robotic Interactive Auditory Perception. 33. 5041–5041. 2 indexed citations
13.
Eppe, Manfred, Ewen Maclean, Roberto Confalonieri, et al.. (2017). A computational framework for conceptual blending. Artificial Intelligence. 256. 105–129. 35 indexed citations
14.
15.
Confalonieri, Roberto, Marco Schorlemmer, Oliver Kutz, et al.. (2016). Conceptual Blending in EL. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1577. 1–12. 8 indexed citations
16.
Confalonieri, Roberto, Manfred Eppe, Marco Schorlemmer, et al.. (2016). Upward refinement operators for conceptual blending in the description logic 𝓔 𝓛 + + $\mathcal {E}\mathcal {L}^{++}$. Annals of Mathematics and Artificial Intelligence. 82(1-3). 69–99. 8 indexed citations
17.
Confalonieri, Roberto, Manfred Eppe, Marco Schorlemmer, et al.. (2015). Upward Refinement for Conceptual Blending in Description Logic — An ASP-based Approach and Case Study in EL++—. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1517. 4 indexed citations
18.
Eppe, Manfred, Roberto Confalonieri, Ewen Maclean, et al.. (2015). Computational invention of cadences and chord progressions by conceptual chord-blending. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 2445–2451. 12 indexed citations
19.
Eppe, Manfred & Mehul Bhatt. (2015). A history based approximate epistemic action theory for efficient postdictive reasoning. Journal of Applied Logic. 13(4). 720–769. 2 indexed citations
20.
Eppe, Manfred & Mehul Bhatt. (2015). Approximate postdictive reasoning with answer set programming. Journal of Applied Logic. 13(4). 676–719. 4 indexed citations

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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