Fabien Gravot

20 total papers · 584 total citations
5 papers, 280 citations indexed

About

Fabien Gravot is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Fabien Gravot has authored 5 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Control and Systems Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Fabien Gravot's work include Robotic Path Planning Algorithms (5 papers), Robot Manipulation and Learning (3 papers) and Robotic Locomotion and Control (2 papers). Fabien Gravot is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Robot Manipulation and Learning (3 papers) and Robotic Locomotion and Control (2 papers). Fabien Gravot collaborates with scholars based in Japan and France. Fabien Gravot's co-authors include Rachid Alami, Masayuki Inaba, K. Okada, Junya Fujimoto, Takashi Ogura, Kei Okada and Yutaka Hirano and has published in prestigious journals such as The International Journal of Robotics Research.

In The Last Decade

Fabien Gravot

5 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
Fabien Gravot	175	150	131	75	37	5	280
Yunrong Guo	184 1.1×	162 1.1×	68 0.5×	63 0.8×	19 0.5×	10	315
Tobias Kunz	165 0.9×	188 1.3×	51 0.4×	88 1.2×	28 0.8×	10	286
Melonee Wise	123 0.7×	174 1.2×	67 0.5×	69 0.9×	70 1.9×	3	290
Ingo Kresse	96 0.5×	149 1.0×	93 0.7×	41 0.5×	47 1.3×	7	245
Adrian Li	109 0.6×	117 0.8×	196 1.5×	37 0.5×	28 0.8×	9	303
Tingwu Wang	197 1.1×	104 0.7×	151 1.2×	28 0.4×	13 0.4×	6	321
KeJun Ning	129 0.7×	232 1.5×	92 0.7×	89 1.2×	53 1.4×	12	319
Sukoya Tawaratsumida	87 0.5×	71 0.5×	202 1.5×	31 0.4×	27 0.7×	7	271
Shoichi Noda	96 0.5×	87 0.6×	244 1.9×	35 0.5×	30 0.8×	11	320
Nate Koenig	144 0.8×	88 0.6×	43 0.3×	21 0.3×	37 1.0×	6	257

Countries citing papers authored by Fabien Gravot

Since Specialization

Citations

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

Fields of papers citing papers by Fabien Gravot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabien Gravot

This figure shows the co-authorship network connecting the top 25 collaborators of Fabien Gravot. A scholar is included among the top collaborators of Fabien Gravot 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 Fabien Gravot. Fabien Gravot 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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