Eren Erdal Aksoy

2.0k total citations
53 papers, 984 citations indexed

About

Eren Erdal Aksoy is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Eren Erdal Aksoy has authored 53 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Control and Systems Engineering, 26 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Eren Erdal Aksoy's work include Robot Manipulation and Learning (25 papers), Human Pose and Action Recognition (12 papers) and AI-based Problem Solving and Planning (8 papers). Eren Erdal Aksoy is often cited by papers focused on Robot Manipulation and Learning (25 papers), Human Pose and Action Recognition (12 papers) and AI-based Problem Solving and Planning (8 papers). Eren Erdal Aksoy collaborates with scholars based in Germany, Sweden and Spain. Eren Erdal Aksoy's co-authors include Florentin Wörgötter, Babette Dellen, Alexey Abramov, Minija Tamošiūnaitė, Tamim Asfour, Aleš Ude, KeJun Ning, Justus Piater, Jérémie Papon and Norbert Krüger and has published in prestigious journals such as Sensors, International Journal of Computer Vision and The International Journal of Robotics Research.

In The Last Decade

Eren Erdal Aksoy

51 papers receiving 950 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eren Erdal Aksoy Germany 19 468 456 263 132 125 53 984
Dejan Pangercic Germany 16 497 1.1× 381 0.8× 272 1.0× 372 2.8× 82 0.7× 38 971
Jacopo Aleotti Italy 21 511 1.1× 609 1.3× 156 0.6× 310 2.3× 218 1.7× 74 1.2k
Max Schwarz Germany 15 457 1.0× 351 0.8× 92 0.3× 294 2.2× 194 1.6× 33 950
Michael Wolf United States 15 425 0.9× 203 0.4× 117 0.4× 232 1.8× 185 1.5× 43 1.2k
W.S. Wijesoma Singapore 16 518 1.1× 382 0.8× 269 1.0× 432 3.3× 146 1.2× 67 1.2k
Walter Wohlkinger Austria 11 505 1.1× 219 0.5× 128 0.5× 437 3.3× 83 0.7× 15 959
Ashesh Jain United States 8 578 1.2× 199 0.4× 198 0.8× 285 2.2× 40 0.3× 9 929
Dirk Kraft Denmark 15 283 0.6× 470 1.0× 272 1.0× 190 1.4× 122 1.0× 65 794
Wim Meeussen United States 10 296 0.6× 407 0.9× 145 0.6× 174 1.3× 164 1.3× 21 736
Mårten Björkman Sweden 17 559 1.2× 374 0.8× 175 0.7× 331 2.5× 125 1.0× 74 976

Countries citing papers authored by Eren Erdal Aksoy

Since Specialization
Citations

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

Fields of papers citing papers by Eren Erdal Aksoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eren Erdal Aksoy. 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 Eren Erdal Aksoy. The network helps show where Eren Erdal Aksoy may publish in the future.

Co-authorship network of co-authors of Eren Erdal Aksoy

This figure shows the co-authorship network connecting the top 25 collaborators of Eren Erdal Aksoy. A scholar is included among the top collaborators of Eren Erdal Aksoy 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 Eren Erdal Aksoy. Eren Erdal Aksoy 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.
Cortinhal, Tiago, et al.. (2024). Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection. 3220–3226. 6 indexed citations
2.
Cortinhal, Tiago, et al.. (2024). 3D-OutDet: A Fast and Memory Efficient Outlier Detector for 3D LiDAR Point Clouds in Adverse Weather. 2862–2868. 6 indexed citations
3.
Cortinhal, Tiago & Eren Erdal Aksoy. (2023). Depth- and semantics-aware multi-modal domain translation: Generating 3D panoramic color images from LiDAR point clouds. Robotics and Autonomous Systems. 171. 104583–104583. 3 indexed citations
4.
Aksoy, Eren Erdal, et al.. (2021). FINO-Net: A Deep Multimodal Sensor Fusion Framework for Manipulation Failure Detection. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6841–6847. 13 indexed citations
5.
Cortinhal, Tiago, et al.. (2021). SalsaNext : Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving. 12510. 1 indexed citations
6.
Aksoy, Eren Erdal, et al.. (2020). SalsaNet : Fast Road and Vehicle Segmentationin LiDAR Point Clouds for Autonomous Driving. Hogskolan Ihalmstad (Halmstad University). 104 indexed citations
7.
Aksoy, Eren Erdal, et al.. (2019). Bilateral Tactile Feedback-Enabled Training for Stroke Survivors Using Microsoft KinectTM. Sensors. 19(16). 3474–3474. 11 indexed citations
8.
Schlichting, Nadine, et al.. (2018). Temporal Context Influences the Perceived Duration of Everyday Actions: Assessing the Ecological Validity of Lab-Based Timing Phenomena. Journal of Cognition. 2(1). 1–1. 15 indexed citations
9.
Aksoy, Eren Erdal, et al.. (2017). Semantic analysis of manipulation actions using spatial relations. Vytautas Magnus University. 4612–4619. 18 indexed citations
10.
Vahrenkamp, Nikolaus, et al.. (2016). Part-based grasp planning for familiar objects. 919–925. 34 indexed citations
11.
Aksoy, Eren Erdal, et al.. (2015). Semantic parsing of human manipulation activities using on-line learned models for robot imitation. 2875–2882. 9 indexed citations
12.
Kaiser, Peter, et al.. (2015). Validation of whole-body loco-manipulation affordances for pushability and liftability. 920–927. 16 indexed citations
13.
Savarimuthu, Thiusius Rajeeth, Anders Glent Buch, Yang Yang, et al.. (2014). Manipulation monitoring and robot intervention in complex manipulation sequences. University of Southern Denmark Research Portal (University of Southern Denmark). 1–2. 4 indexed citations
14.
Schlette, Christian, Anders Glent Buch, Eren Erdal Aksoy, et al.. (2014). A new benchmark for pose estimation with ground truth from virtual reality. Production Engineering. 8(6). 745–754. 4 indexed citations
15.
Aksoy, Eren Erdal, Minija Tamošiūnaitė, Aleš Ude, et al.. (2013). Structural bootstrapping at the sensorimotor level for the fast acquisition of action knowledge for cognitive robots. Edinburgh Research Explorer (University of Edinburgh). 165. 1–8. 14 indexed citations
16.
Wächter, Mirko, et al.. (2013). Action sequence reproduction based on automatic segmentation and Object-Action Complexes. 189–195. 32 indexed citations
17.
Aksoy, Eren Erdal, Babette Dellen, Minija Tamošiūnaitė, & Florentin Wörgötter. (2011). Execution of a dual-object (pushing) action with semantic event chains. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 576–583. 7 indexed citations
18.
Aksoy, Eren Erdal, et al.. (2011). Learning the semantics of object–action relations by observation. The International Journal of Robotics Research. 30(10). 1229–1249. 128 indexed citations
19.
Abramov, Alexey, et al.. (2010). 3d semantic representation of actions from effcient stereo-image-sequence segmentation on GPUs. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 1–8. 10 indexed citations
20.
Aksoy, Eren Erdal, et al.. (2010). Categorizing object-action relations from semantic scene graphs. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 398–405. 54 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dejan Pangercic Breakdown of academic impact, for papers by Jacopo Aleotti Breakdown of academic impact, for papers by Max Schwarz Breakdown of academic impact, for papers by Michael Wolf Breakdown of academic impact, for papers by W.S. Wijesoma Breakdown of academic impact, for papers by Walter Wohlkinger Breakdown of academic impact, for papers by Ashesh Jain Breakdown of academic impact, for papers by Dirk Kraft Breakdown of academic impact, for papers by Wim Meeussen Breakdown of academic impact, for papers by Mårten Björkman
Rankless by CCL
2026