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.
On Learning, Representing, and Generalizing a Task in a Humanoid Robot
2007760 citationsSylvain Calinon, Aude Billard et al.profile →
Learning and Reproduction of Gestures by Imitation
2010318 citationsSylvain Calinon, Darwin G. Caldwell et al.IEEE Robotics & Automation Magazineprofile →
A tutorial on task-parameterized movement learning and retrieval
Countries citing papers authored by Sylvain Calinon
Since
Specialization
Citations
This map shows the geographic impact of Sylvain Calinon'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 Sylvain Calinon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Calinon more than expected).
This network shows the impact of papers produced by Sylvain Calinon. 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 Sylvain Calinon. The network helps show where Sylvain Calinon may publish in the future.
Co-authorship network of co-authors of Sylvain Calinon
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Calinon.
A scholar is included among the top collaborators of Sylvain Calinon 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 Sylvain Calinon. Sylvain Calinon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Calinon, Sylvain, et al.. (2019). Improving dual-arm assembly by master-slave compliance. University of Oulu Repository (University of Oulu).10 indexed citations
Malekzadeh, Milad, Sylvain Calinon, Danilo Bruno, & Darwin G. Caldwell. (2014). A Skill Transfer Approach for Continuum Robots - Imitation of Octopus Reaching Motion with the STIFF-FLOP Robot. Infoscience (Ecole Polytechnique Fédérale de Lausanne).2 indexed citations
17.
Kormushev, Petar, Sylvain Calinon, & Darwin G. Caldwell. (2010). Approaches for Learning Human-like Motor Skills which Require Variable Stiffness During Execution. Spiral (Imperial College London).2 indexed citations
18.
Calinon, Sylvain, Paul Evrard, Elena Gribovskaya, Aude Billard, & Abderrahmane Kheddar. (2009). Learning collaborative manipulation tasks by demonstration using a haptic interface. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–6.50 indexed citations
19.
Calinon, Sylvain & Aude Billard. (2008). A framework integrating statistical and social cues to teach a humanoid robot new skills. Infoscience (Ecole Polytechnique Fédérale de Lausanne).18 indexed citations
20.
Calinon, Sylvain & Aude Billard. (2003). PDA Interface for Humanoid Robots. Infoscience (Ecole Polytechnique Fédérale de Lausanne).12 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.