Clemens Eppner

1.8k citations
25 papers · 974 · 1 hit paper · h-index 16

Impact in

Papers in

Clemens Eppner

25 papers receiving 930 citations

Clemens Eppner's Hit Papers

Deep Learning Approaches to Grasp Synthesis: A Review 2023 · 114 citations
1140+1+2Years since publication255075100

Peers

Clemens Eppner
Comparison fields: 5 of 69
  • Control and Systems Engineering 715
  • Human-Computer Interaction 90
  • Computer Vision and Pattern Recognition 330
  • Biomedical Engineering 397
  • Industrial and Manufacturing Engineering 66
Replace Kaiyu Hang with:
Kaiyu Hang United States
Kimitoshi Yamazaki Japan
Aaron Walsman United States
Renaud Detry Belgium
Steffen Knoop Germany
Sven Parusel Germany
Matthew Matl United States
Pablo Jiménez Spain
Berthold Bäuml Germany
Rosen Diankov United States
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Citations per field
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Citations per year

Countries citing papers authored by Clemens Eppner

Since Specialization
Citations

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

Fields of papers citing papers by Clemens Eppner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015148
2
Deep Learning Approaches to Grasp Synthesis: A Review
Hit paper breakdown →
2023114
3 2020108
4 201699
5 201691
6 200977
7 201650
8 201738
9 201337
10 201535
11 200926
12 201624
13 201824
14 201919
15 201518
16 202218
17 201714
18 201711
19 20245
20 20234

About Clemens Eppner

Clemens Eppner is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience, having authored 25 papers that have together received 974 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (20 papers), Soft Robotics and Applications (5 papers), Hand Gesture Recognition Systems (4 papers), Robotics and Sensor-Based Localization (4 papers), Modular Robots and Swarm Intelligence (4 papers), Reinforcement Learning in Robotics (4 papers), Robotic Path Planning Algorithms (4 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Control and Systems Engineering (715 citations), Human-Computer Interaction (90 citations), Computer Vision and Pattern Recognition (330 citations), Biomedical Engineering (397 citations) and Industrial and Manufacturing Engineering (66 citations). Clemens Eppner has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Oliver Brock, Roberto Martín-Martín, Marianne Maertens, Sebastian Höfer, Dieter Fox, Rico Jonschkowski, Pieter Abbeel, Raphael Deimel, Arsalan Mousavian and Abhishek Gupta. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters, Autonomous Robots, IEEE Transactions on Robotics and DepositOnce.

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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