J. D. Boissonnat

15 total papers · 494 total citations
8 papers, 238 citations indexed

About

J. D. Boissonnat is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, J. D. Boissonnat has authored 8 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 4 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in J. D. Boissonnat's work include Computational Geometry and Mesh Generation (4 papers), Advanced Numerical Analysis Techniques (2 papers) and Robotic Mechanisms and Dynamics (2 papers). J. D. Boissonnat is often cited by papers focused on Computational Geometry and Mesh Generation (4 papers), Advanced Numerical Analysis Techniques (2 papers) and Robotic Mechanisms and Dynamics (2 papers). J. D. Boissonnat collaborates with scholars based in France and United States. J. D. Boissonnat's co-authors include Olivier Faugeras, Francis Avnaïm, Mariette Yvinec, Steve Sullivan, Jean Ponce, Jean‐Pierre Merlet, B. Faverjon, F. P. Preparata, Olivier Devillers and Steve Oudot and has published in prestigious journals such as Artificial Intelligence, Algorithmica and International Joint Conference on Artificial Intelligence.

In The Last Decade

J. D. Boissonnat

8 papers receiving 205 citations

Author Peers

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

Author						Papers	Cites
J. D. Boissonnat	121	81	81	67	43	8	238
Jiazhao Zhang	155 1.3×	43 0.5×	71 0.9×	18 0.3×	29 0.7×	14	286
Ron Wein	152 1.3×	51 0.6×	74 0.9×	112 1.7×	17 0.4×	16	268
Anthony Francis	197 1.6×	70 0.9×	76 0.9×	37 0.6×	27 0.6×	7	318
Nate Koenig	144 1.2×	88 1.1×	56 0.7×	37 0.6×	21 0.5×	6	257
Jules Vleugels	196 1.6×	40 0.5×	46 0.6×	155 2.3×	10 0.2×	14	295
Mengyuan Yan	168 1.4×	112 1.4×	50 0.6×	18 0.3×	58 1.3×	10	277
Congyue Deng	137 1.1×	44 0.5×	30 0.4×	72 1.1×	13 0.3×	10	274
Susan Hert	219 1.8×	42 0.5×	132 1.6×	57 0.9×	16 0.4×	15	270
Karthik Narayan	186 1.5×	68 0.8×	106 1.3×	13 0.2×	30 0.7×	9	282
Haotong Lin	222 1.8×	74 0.9×	103 1.3×	83 1.2×	33 0.8×	15	325

Countries citing papers authored by J. D. Boissonnat

Since Specialization

Citations

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

Fields of papers citing papers by J. D. Boissonnat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. D. Boissonnat. 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 J. D. Boissonnat. The network helps show where J. D. Boissonnat may publish in the future.

Co-authorship network of co-authors of J. D. Boissonnat

This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Boissonnat. A scholar is included among the top collaborators of J. D. Boissonnat 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 J. D. Boissonnat. J. D. Boissonnat 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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