Renaud Detry

1.7k total citations
55 papers, 874 citations indexed

About

Renaud Detry is a scholar working on Control and Systems Engineering, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Renaud Detry has authored 55 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Control and Systems Engineering, 20 papers in Artificial Intelligence and 16 papers in Biomedical Engineering. Recurrent topics in Renaud Detry's work include Robot Manipulation and Learning (34 papers), Reinforcement Learning in Robotics (12 papers) and Robotic Mechanisms and Dynamics (10 papers). Renaud Detry is often cited by papers focused on Robot Manipulation and Learning (34 papers), Reinforcement Learning in Robotics (12 papers) and Robotic Mechanisms and Dynamics (10 papers). Renaud Detry collaborates with scholars based in Belgium, United States and Sweden. Renaud Detry's co-authors include Justus Piater, Danica Kragić, Oliver Kroemer, Jan Peters, Carl Henrik Ek, Marianna Madry, Norbert Krüger, Dirk Kraft, Nicolas Pugeault and Marek Kopicki and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The International Journal of Robotics Research.

In The Last Decade

Renaud Detry

51 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renaud Detry Belgium 18 616 319 261 248 161 55 874
Clemens Eppner Germany 16 715 1.2× 397 1.2× 181 0.7× 330 1.3× 161 1.0× 25 974
Antonio Morales Spain 19 814 1.3× 514 1.6× 152 0.6× 208 0.8× 164 1.0× 58 1.0k
Carl Henrik Ek Sweden 18 463 0.8× 233 0.7× 285 1.1× 419 1.7× 95 0.6× 67 980
Aaron Walsman United States 5 799 1.3× 450 1.4× 188 0.7× 439 1.8× 224 1.4× 8 1.1k
Yasemin Bekiroglu Sweden 16 671 1.1× 459 1.4× 140 0.5× 170 0.7× 84 0.5× 43 882
Alexander Stoytchev United States 17 444 0.7× 161 0.5× 404 1.5× 255 1.0× 76 0.5× 41 881
Staffan Ekvall Sweden 13 489 0.8× 153 0.5× 192 0.7× 337 1.4× 182 1.1× 20 750
Dirk Kraft Denmark 15 470 0.8× 122 0.4× 272 1.0× 283 1.1× 190 1.2× 65 794
Seyed Mohammad Khansari-Zadeh Switzerland 9 926 1.5× 352 1.1× 432 1.7× 351 1.4× 86 0.5× 14 1.2k
Kai Huebner Sweden 11 474 0.8× 194 0.6× 114 0.4× 240 1.0× 110 0.7× 22 583

Countries citing papers authored by Renaud Detry

Since Specialization
Citations

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

Fields of papers citing papers by Renaud Detry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renaud Detry

This figure shows the co-authorship network connecting the top 25 collaborators of Renaud Detry. A scholar is included among the top collaborators of Renaud Detry 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 Renaud Detry. Renaud Detry 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.
Sobrón, P., et al.. (2025). Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy. ACS Earth and Space Chemistry. 9(10). 2395–2412.
2.
Detry, Renaud, et al.. (2025). Domain Generalization for In-Orbit 6D Pose Estimation. Journal of Aerospace Information Systems. 22(11). 938–947. 2 indexed citations
3.
Song, Pinhao, et al.. (2024). Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation. Lirias (KU Leuven). 5585–5591. 4 indexed citations
4.
Karumanchi, Sisir, et al.. (2022). Grasping and Transport of Unstructured Collections of Massive Objects. Lirias (KU Leuven). 2. 385–405. 1 indexed citations
5.
Pham, Tu-Hoa, Shreyansh Daftry, Barry Ridge, et al.. (2021). Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching. Lirias (KU Leuven). 6 indexed citations
6.
Uckert, Kyle, Aaron Parness, N. J. Chanover, et al.. (2020). Investigating Habitability with an Integrated Rock-Climbing Robot and Astrobiology Instrument Suite. Astrobiology. 20(12). 1427–1449. 20 indexed citations
7.
Massari, Luca, et al.. (2019). Tactile Sensing and Control of Robotic Manipulator Integrating Fiber Bragg Grating Strain-Sensor. Frontiers in Neurorobotics. 13. 8–8. 40 indexed citations
8.
Sinibaldi, Edoardo, et al.. (2019). Neuromorphic tactile sensor array based on fiber Bragg gratings to encode object qualities. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 5. 6–6. 3 indexed citations
9.
Uckert, Kyle, Aaron Parness, N. J. Chanover, et al.. (2018). An Investigation of a Terrestrial Lava Tube with an Instrument Payload Integrated with the LEMUR Rock-Climbing Robot. AGUFM. 2018.
10.
Kragić, Danica, et al.. (2017). Estimating tactile data for adaptive grasping of novel objects. abs 1502 3143. 643–648. 7 indexed citations
11.
Bekiroglu, Yasemin, Andreas Damianou, Renaud Detry, et al.. (2016). Probabilistic consolidation of grasp experience. Explore Bristol Research. 193–200. 9 indexed citations
12.
Ek, Carl Henrik, et al.. (2015). International Conference on Computer Vision Systems. 24 indexed citations
13.
Kopicki, Marek, Renaud Detry, Florian Schmidt, et al.. (2014). Learning dexterous grasps that generalise to novel objects by combining hand and contact models. University of Birmingham Research Portal (University of Birmingham). 37. 5358–5365. 25 indexed citations
14.
Bekiroglu, Yasemin, Renaud Detry, & Danica Kragić. (2012). Grasp Stability from Vision and Touch. Open Repository and Bibliography (University of Liège). 1 indexed citations
15.
Bekiroglu, Yasemin, Renaud Detry, & Danica Kragić. (2011). Joint Observation of Object Pose and Tactile Imprints for Online Grasp Stability Assessment. Open Repository and Bibliography (University of Liège). 1 indexed citations
16.
Bodenhagen, Leon, Renaud Detry, Justus Piater, & Norbert Krüger. (2011). What a successful grasp tells about the success chances of grasps in its vicinity. University of Southern Denmark Research Portal (University of Southern Denmark). 1–8. 1 indexed citations
17.
Detry, Renaud. (2010). Learning of Multi-Dimensional, Multi-Modal Features for Robotic Grasping. Open Repository and Bibliography (University of Liège). 3 indexed citations
18.
Detry, Renaud, Nicolas Pugeault, & Justus Piater. (2009). A Probabilistic Framework for 3D Visual Object Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(10). 1790–1803. 44 indexed citations
19.
Piater, Justus, Fabien Scalzo, & Renaud Detry. (2008). Vision as Inference in a Hierarchical Markov Network. Open Repository and Bibliography (University of Liège). 2 indexed citations
20.
Kraft, Dirk, Emre Başeski, Mila Popović, et al.. (2008). Exploration and Planning in a Three-Level Cognitive Architecture. University of Southern Denmark Research Portal (University of Southern Denmark). 17 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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