Clemens Eppner

1.8k total citations · 1 hit paper
25 papers, 974 citations indexed

About

Clemens Eppner is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Clemens Eppner has authored 25 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 11 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Clemens Eppner's work include Robot Manipulation and Learning (20 papers), Soft Robotics and Applications (5 papers) and Modular Robots and Swarm Intelligence (4 papers). Clemens Eppner is often cited by papers focused on Robot Manipulation and Learning (20 papers), Soft Robotics and Applications (5 papers) and Modular Robots and Swarm Intelligence (4 papers). Clemens Eppner collaborates with scholars based in Germany, United States and Australia. Clemens Eppner's co-authors include Oliver Brock, Roberto Martín-Martín, Marianne Maertens, Dieter Fox, Rico Jonschkowski, Sebastian Höfer, Pieter Abbeel, Raphael Deimel, Arsalan Mousavian and Abhishek Gupta and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Autonomous Robots.

In The Last Decade

Clemens Eppner

25 papers receiving 930 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning Approaches to Grasp Synthesis: A Review

2023 114 citations R. Newbury, Arsalan Mousavian et al. IEEE Transactions on Robotics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clemens Eppner Germany	16	715	397	330	194	181	25	974
Aaron Walsman United States	5	799 1.1×	450 1.1×	439 1.3×	144 0.7×	188 1.0×	8	1.1k
Antonio Morales Spain	19	814 1.1×	514 1.3×	208 0.6×	137 0.7×	152 0.8×	58	1.0k
Kimitoshi Yamazaki Japan	16	583 0.8×	277 0.7×	357 1.1×	151 0.8×	110 0.6×	128	904
Steffen Knoop Germany	12	836 1.2×	366 0.9×	443 1.3×	146 0.8×	223 1.2×	27	1.1k
Pablo Jiménez Spain	9	552 0.8×	238 0.6×	335 1.0×	205 1.1×	138 0.8×	12	967
Anis Sahbani France	13	649 0.9×	407 1.0×	318 1.0×	110 0.6×	131 0.7×	48	897
Berthold Bäuml Germany	18	599 0.8×	435 1.1×	347 1.1×	149 0.8×	95 0.5×	42	960
Sven Parusel Germany	13	691 1.0×	445 1.1×	279 0.8×	218 1.1×	75 0.4×	23	1.1k
Tucker Hermans United States	22	624 0.9×	536 1.4×	443 1.3×	171 0.9×	239 1.3×	53	1.3k
Renaud Detry Belgium	18	616 0.9×	319 0.8×	248 0.8×	83 0.4×	261 1.4×	55	874

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-authorship network of co-authors of Clemens Eppner

This figure shows the co-authorship network connecting the top 25 collaborators of Clemens Eppner. A scholar is included among the top collaborators of Clemens Eppner 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 Clemens Eppner. Clemens Eppner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Eppner, Clemens, et al.. (2024). One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting. 13891–13898. 3 indexed citations

2.

Fang, Xiaolin, Caelan Reed Garrett, Clemens Eppner, et al.. (2024). DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. 1412–1419. 5 indexed citations

3.

Murali, Adithyavairavan, et al.. (2023). CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation. 1866–1874. 4 indexed citations

4.

Newbury, R., Arsalan Mousavian, Clemens Eppner, et al.. (2023). Deep Learning Approaches to Grasp Synthesis: A Review. IEEE Transactions on Robotics. 39(5). 3994–4015. 114 indexed citations breakdown →

5.

Deng, Xinke, Xiang Yu, Arsalan Mousavian, et al.. (2020). Self-supervised 6D Object Pose Estimation for Robot Manipulation. 3665–3671. 108 indexed citations

6.

Eppner, Clemens, et al.. (2019). Environmental Constraints Exploitation. DepositOnce. 1 indexed citations

7.

Eppner, Clemens, Roberto Martín-Martín, & Oliver Brock. (2018). Physics-Based Selection of Informative Actions for Interactive Perception. 9. 7427–7432. 4 indexed citations

8.

Eppner, Clemens & Oliver Brock. (2017). Visual detection of opportunities to exploit contact in grasping using contextual multi-armed bandits. 273–278. 11 indexed citations

9.

Eppner, Clemens, et al.. (2017). Interleaving motion in contact and in free space for planning under uncertainty. 4011–4073. 14 indexed citations

10.

Eppner, Clemens, Sebastian Höfer, Rico Jonschkowski, et al.. (2017). Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems. 4831–4835. 38 indexed citations

11.

Gupta, Abhishek, Clemens Eppner, Sergey Levine, & Pieter Abbeel. (2016). Learning dexterous manipulation for a soft robotic hand from human demonstrations. 3786–3793. 99 indexed citations

12.

Mordatch, Igor, Nikhil Mishra, Clemens Eppner, & Pieter Abbeel. (2016). Combining model-based policy search with online model learning for control of physical humanoids. 242–248. 24 indexed citations

13.

Eppner, Clemens, Sebastian Höfer, Rico Jonschkowski, et al.. (2016). Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems. 91 indexed citations

14.

Jonschkowski, Rico, Clemens Eppner, Sebastian Höfer, Roberto Martín-Martín, & Oliver Brock. (2016). Probabilistic multi-class segmentation for the Amazon Picking Challenge. 50 indexed citations

15.

Eppner, Clemens, et al.. (2015). Exploitation of environmental constraints in human and robotic grasping. The International Journal of Robotics Research. 34(7). 1021–1038. 148 indexed citations

16.

Eppner, Clemens & Oliver Brock. (2015). Planning grasp strategies That Exploit Environmental Constraints. 4947–4952. 35 indexed citations

17.

Heinemann, Fabian, et al.. (2015). A taxonomy of human grasping behavior suitable for transfer to robotic hands. 4286–4291. 18 indexed citations

18.

Eppner, Clemens & Oliver Brock. (2013). Grasping unknown objects by exploiting shape adaptability and environmental constraints. 4000–4006. 37 indexed citations

19.

Eppner, Clemens, G. Bartels, & Oliver Brock. (2012). A compliance-centric view of grasping. DepositOnce. 2 indexed citations

20.

Eppner, Clemens, J. Sturm, Maren Bennewitz, Cyrill Stachniss, & Wolfram Burgard. (2009). Imitation learning with generalized task descriptions. 3968–3974. 26 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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