Jacques Mandler

9 total papers · 429 total citations
3 papers, 77 citations indexed

About

Jacques Mandler is a scholar working on Computer Networks and Communications, Condensed Matter Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jacques Mandler has authored 3 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Condensed Matter Physics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Jacques Mandler's work include Theoretical and Computational Physics (1 paper), Computational Geometry and Mesh Generation (1 paper) and Random Matrices and Applications (1 paper). Jacques Mandler is often cited by papers focused on Theoretical and Computational Physics (1 paper), Computational Geometry and Mesh Generation (1 paper) and Random Matrices and Applications (1 paper). Jacques Mandler collaborates with scholars based in France. Jacques Mandler's co-authors include Olivier Dubois, Simona Cocco and Rémi Monasson and has published in prestigious journals such as Physical Review Letters, Journal of Approximation Theory and Comptes Rendus Mathématique.

In The Last Decade

Jacques Mandler

2 papers receiving 71 citations

Author Peers

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

Author						Papers	Cites
Jacques Mandler	46	30	23	22	13	3	77
Frank R. Bernhart	43 0.9×	124 4.1×	29 1.3×	10 0.5×	12 0.9×	5	240
Petar Maymounkov	100 2.2×	53 1.8×	89 3.9×	10 0.5×	16 1.2×	7	217
C. P. Schnorr	74 1.6×	136 4.5×	118 5.1×	18 0.8×	8 0.6×	5	237
Robin A. Moser	55 1.2×	192 6.4×	78 3.4×	9 0.4×	45 3.5×	5	258
Stéphane Jaffard	12 0.3×	7 0.2×	9 0.4×	9 0.4×	11 0.8×	2	258
Dima Kuzmin	13 0.3×	10 0.3×	73 3.2×	20 0.9×	6 0.5×	5	102
Markus Sortland Dregi	47 1.0×	114 3.8×	15 0.7×	6 0.3×	3 0.2×	5	134
Joachim van den Berg	9 0.2×	48 1.6×	67 2.9×	4 0.2×	22 1.7×	7	103
Shashi Borade	181 3.9×	13 0.4×	30 1.3×	6 0.3×	5 0.4×	9	229
Tian Sang	62 1.3×	52 1.7×	189 8.2×	50 2.3×	13 1.0×	5	216

Countries citing papers authored by Jacques Mandler

Since Specialization

Citations

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

Fields of papers citing papers by Jacques Mandler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Mandler

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