Eric L. Sauser

898 total citations · 1 hit paper
23 papers, 616 citations indexed

About

Eric L. Sauser is a scholar working on Control and Systems Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Eric L. Sauser has authored 23 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 10 papers in Cognitive Neuroscience and 9 papers in Artificial Intelligence. Recurrent topics in Eric L. Sauser's work include Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (6 papers) and Action Observation and Synchronization (5 papers). Eric L. Sauser is often cited by papers focused on Robot Manipulation and Learning (11 papers), Reinforcement Learning in Robotics (6 papers) and Action Observation and Synchronization (5 papers). Eric L. Sauser collaborates with scholars based in Switzerland, Italy and United States. Eric L. Sauser's co-authors include Aude Billard, Sylvain Calinon, Darwin G. Caldwell, Brenna Argall, Micha Hersch, ‎Davide Marocco, Dario Floreano, Giorgio Metta, Shugao Ma and Ricardo Chavarriaga and has published in prestigious journals such as Neurocomputing, Neural Networks and Biological Cybernetics.

In The Last Decade

Eric L. Sauser

22 papers receiving 582 citations

Hit Papers

Learning and Reproduction of Gestures by Imitation 2010 2026 2015 2020 2010 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric L. Sauser Switzerland 10 412 209 159 140 133 23 616
Jim Mainprice United States 9 330 0.8× 97 0.5× 103 0.6× 173 1.2× 60 0.5× 15 495
Karinne Ramírez-Amaro Germany 16 332 0.8× 196 0.9× 108 0.7× 263 1.9× 84 0.6× 37 627
Matteo Saveriano Italy 13 391 0.9× 161 0.8× 158 1.0× 191 1.4× 70 0.5× 65 609
Guilherme Maeda Germany 17 665 1.6× 246 1.2× 237 1.5× 188 1.3× 53 0.4× 46 914
Junpei Zhong United Kingdom 14 162 0.4× 158 0.8× 111 0.7× 172 1.2× 61 0.5× 64 534
R. Dillmann Germany 6 291 0.7× 101 0.5× 185 1.2× 159 1.1× 46 0.3× 6 437
João Silvério Italy 13 511 1.2× 215 1.0× 184 1.2× 123 0.9× 45 0.3× 31 638
Dylan P. Losey United States 12 303 0.7× 146 0.7× 411 2.6× 77 0.6× 127 1.0× 43 816
Nadia Figueroa United States 16 312 0.8× 74 0.4× 205 1.3× 193 1.4× 85 0.6× 49 634
Vincent Padois France 14 357 0.9× 96 0.5× 272 1.7× 102 0.7× 60 0.5× 36 593

Countries citing papers authored by Eric L. Sauser

Since Specialization
Citations

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

Fields of papers citing papers by Eric L. Sauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric L. Sauser. 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 Eric L. Sauser. The network helps show where Eric L. Sauser may publish in the future.

Co-authorship network of co-authors of Eric L. Sauser

This figure shows the co-authorship network connecting the top 25 collaborators of Eric L. Sauser. A scholar is included among the top collaborators of Eric L. Sauser 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 Eric L. Sauser. Eric L. Sauser 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.
Şener, Fadime, Edoardo Remelli, Bugra Tekin, et al.. (2024). X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization. 26354–26363. 1 indexed citations
2.
Wan, Chengde, K.M. Koh, Necati Cihan Camgöz, et al.. (2024). STMG: A Machine Learning Microgesture Recognition System for Supporting Thumb-Based VR/AR Input. 1–15. 4 indexed citations
3.
Şener, Fadime, Edoardo Remelli, Tomáš Hodaň, et al.. (2024). DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions. 1–11. 2 indexed citations
4.
Sauser, Eric L., Brenna Argall, & Aude Billard. (2011). The life of icub, a little humanoid robot learning from humans through tactile sensing. 393–394.
5.
Argall, Brenna, Eric L. Sauser, & Aude Billard. (2010). Policy Adaptation through Tactile Correction. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–8. 5 indexed citations
6.
Argall, Brenna & Eric L. Sauser. (2010). Tactile Guidance for Policy Adaptation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1(2). 79–133. 11 indexed citations
7.
Argall, Brenna, Eric L. Sauser, & Aude Billard. (2010). Tactile guidance for policy refinement and reuse. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 23 indexed citations
8.
Calinon, Sylvain, et al.. (2010). Learning and Reproduction of Gestures by Imitation. IEEE Robotics & Automation Magazine. 17(2). 44–54. 318 indexed citations breakdown →
9.
Argall, Brenna, Eric L. Sauser, & Aude Billard. (2009). Demonstration, Tactile Correction and Multiple Training Data Sources for Robot Motion Control. neural information processing systems. 1 indexed citations
10.
Argall, Brenna, Eric L. Sauser, & Aude Billard. (2009). Tactile Correction and Multiple Training Data Sources for Robot Motion Control. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
11.
Hersch, Micha, Eric L. Sauser, & Aude Billard. (2008). ONLINE LEARNING OF THE BODY SCHEMA. International Journal of Humanoid Robotics. 5(2). 161–181. 53 indexed citations
12.
Sauser, Eric L. & Aude Billard. (2006). Parallel and distributed neural models of the ideomotor principle: An investigation of imitative cortical pathways. Neural Networks. 19(3). 285–298. 22 indexed citations
13.
Sauser, Eric L. & Aude Billard. (2006). Dynamic updating of distributed neural representations using forward models. Biological Cybernetics. 95(6). 567–588. 4 indexed citations
14.
Sauser, Eric L. & Aude Billard. (2006). Biologically Inspired Multimodal Integration: Interferences in a Human-Robot Interaction Game. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2. 5619–5624. 11 indexed citations
15.
Sauser, Eric L. & Aude Billard. (2005). View Sensitive Cells as a Neural Basis for the Representation of Others in a Self-Centered Frame of Reference. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 119–127. 6 indexed citations
16.
Sauser, Eric L. & Aude Billard. (2005). Neural Model of the Transformation from Allo-centric to Ego- centric Representation of Motions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
17.
Sauser, Eric L. & Aude Billard. (2005). Three-dimensional frames of references transformations using recurrent populations of neurons. Neurocomputing. 64. 5–24. 11 indexed citations
18.
Sauser, Eric L. & Aude Billard. (2004). Three dimensional frames of reference transformations using gain modulated populations of neurons. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 543–548. 1 indexed citations
19.
Floreano, Dario, et al.. (2004). Coevolution of active vision and feature selection. Biological Cybernetics. 90(3). 218–228. 62 indexed citations
20.
Chavarriaga, Ricardo, Eric L. Sauser, & Wulfram Gerstner. (2003). Modeling directional firing properties of place cells. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 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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