Mathieu Gaillard

45 total papers · 466 total citations
16 papers, 282 citations indexed

About

Mathieu Gaillard is a scholar working on Demography, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Mathieu Gaillard has authored 16 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Demography, 4 papers in General Health Professions and 4 papers in Sociology and Political Science. Recurrent topics in Mathieu Gaillard's work include Retirement, Disability, and Employment (5 papers), 3D Shape Modeling and Analysis (4 papers) and Computer Graphics and Visualization Techniques (3 papers). Mathieu Gaillard is often cited by papers focused on Retirement, Disability, and Employment (5 papers), 3D Shape Modeling and Analysis (4 papers) and Computer Graphics and Visualization Techniques (3 papers). Mathieu Gaillard collaborates with scholars based in United States, Belgium and Switzerland. Mathieu Gaillard's co-authors include Donatienne Desmette, Bedřich Beneš, Chenyong Miao, James C. Schnable, Radomír Měch, Marie‐Christine Lallemand, Nicole Kunesch, Damien Rohmer, Marie‐Paule Cani and Nathan Carr and has published in prestigious journals such as ACM Transactions on Graphics, Computers and Electronics in Agriculture and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Mathieu Gaillard

11 papers receiving 268 citations

Author Peers

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

Author						Papers	Cites
Mathieu Gaillard	173	112	65	60	52	16	282
Louis Lippens	17 0.1×	50 0.4×	2 0.0×	145 2.4×	38 0.7×	25	293
Palle Storm	23 0.1×	130 1.2×	4 0.1×	79 1.3×	15 0.3×	19	268
Aske Juul Lassen	77 0.4×	62 0.6×	79 1.2×	46 0.8×	5 0.1×	21	229
Nancy J. Gladwell	31 0.2×	29 0.3×	2 0.0×	181 3.0×	29 0.6×	15	292
Tanja Ahlin	64 0.4×	55 0.5×	7 0.1×	141 2.4×	2 0.0×	17	259
Hans-Joachim von Kondratowitz	156 0.9×	105 0.9×	32 0.5×	224 3.7×		17	304
E. Demerouti	26 0.2×	86 0.8×		64 1.1×	85 1.6×	16	236
Marieke Slootman	53 0.3×	19 0.2×	8 0.1×	86 1.4×	7 0.1×	20	171
Rebekka Rohner	154 0.9×	35 0.3×	63 1.0×	48 0.8×		11	219
Nicolas Robette	68 0.4×	49 0.4×	2 0.0×	201 3.4×	5 0.1×	28	263

Countries citing papers authored by Mathieu Gaillard

Since Specialization

Citations

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

Fields of papers citing papers by Mathieu Gaillard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Gaillard

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