Jacques Gangloff

118 total papers · 2.1k total citations
77 papers, 1.4k citations indexed

About

Jacques Gangloff is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jacques Gangloff has authored 77 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 31 papers in Biomedical Engineering and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jacques Gangloff's work include Soft Robotics and Applications (27 papers), Iterative Learning Control Systems (19 papers) and Advanced Vision and Imaging (19 papers). Jacques Gangloff is often cited by papers focused on Soft Robotics and Applications (27 papers), Iterative Learning Control Systems (19 papers) and Advanced Vision and Imaging (19 papers). Jacques Gangloff collaborates with scholars based in France, Japan and Belgium. Jacques Gangloff's co-authors include Michel de Mathelin, Michel F. de Mathelin, Luc Soler, Jacques Marescaux, Loïc Cuvillon, R. Ginhoux, Édouard Laroche, Christophe Doignon, Cameron N. Riviere and Pierre Renaud and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Jacques Gangloff

77 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacques Gangloff 681 461 455 417 259 77 1.4k
Etienne Dombre 851 1.2× 301 0.7× 895 2.0× 291 0.7× 132 0.5× 66 1.7k
George Mylonas 985 1.4× 416 0.9× 209 0.5× 646 1.5× 146 0.6× 76 1.7k
Anton Deguet 927 1.4× 540 1.2× 238 0.5× 709 1.7× 179 0.7× 82 1.5k
Rajesh Kumar 477 0.7× 290 0.6× 489 1.1× 221 0.5× 179 0.7× 72 1.5k
Shing Shin Cheng 798 1.2× 168 0.4× 473 1.0× 133 0.3× 126 0.5× 68 1.5k
Ole Jakob Elle 526 0.8× 344 0.7× 74 0.2× 425 1.0× 67 0.3× 96 1.2k
Jagadeesan Jayender 512 0.8× 189 0.4× 177 0.4× 276 0.7× 115 0.4× 68 1.2k
Kanako Harada 833 1.2× 193 0.4× 127 0.3× 603 1.4× 70 0.3× 128 1.5k
Kozo Konishi 809 1.2× 401 0.9× 82 0.2× 1.0k 2.5× 121 0.5× 95 1.8k
Michael D. Naish 862 1.3× 268 0.6× 133 0.3× 491 1.2× 87 0.3× 101 1.3k

Countries citing papers authored by Jacques Gangloff

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Gangloff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Gangloff

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

All Works

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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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