Laurence Guillot

10 total papers · 418 total citations
3 papers, 292 citations indexed

About

Laurence Guillot is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Mathematical Physics. According to data from OpenAlex, Laurence Guillot has authored 3 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Modeling and Simulation and 1 paper in Mathematical Physics. Recurrent topics in Laurence Guillot's work include Medical Image Segmentation Techniques (2 papers), Mathematical Biology Tumor Growth (2 papers) and Respiratory viral infections research (1 paper). Laurence Guillot is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Mathematical Biology Tumor Growth (2 papers) and Respiratory viral infections research (1 paper). Laurence Guillot collaborates with scholars based in United States, France and United Kingdom. Laurence Guillot's co-authors include Moe H. Kyaw, Harish Nair, Evelyn Balsells, Carole Le Guyader and Maı̈tine Bergounioux and has published in prestigious journals such as PLoS ONE, Communications in Mathematical Sciences and Communications on Pure & Applied Analysis.

In The Last Decade

Laurence Guillot

3 papers receiving 288 citations

Hit Papers

Serotype distribution of ... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Laurence Guillot 265 114 33 13 13 3 292
Jean H. Dallas 276 1.0× 105 0.9× 38 1.2× 18 1.4× 7 0.5× 7 326
A. Brito Avô 136 0.5× 57 0.5× 36 1.1× 23 1.8× 6 0.5× 5 186
John Ginis 275 1.0× 152 1.3× 21 0.6× 26 2.0× 11 0.8× 9 304
Raili Haikala 269 1.0× 138 1.2× 39 1.2× 16 1.2× 46 3.5× 6 296
Robert Musyimi 263 1.0× 95 0.8× 25 0.8× 54 4.2× 10 0.8× 6 282
Ruth Parker 206 0.8× 233 2.0× 92 2.8× 14 1.1× 24 1.8× 3 319
Angelique G.S.C. Jansen 289 1.1× 89 0.8× 25 0.8× 17 1.3× 14 1.1× 7 310
Hung Van Pham 257 1.0× 114 1.0× 50 1.5× 41 3.2× 3 0.2× 4 311
M. G. Gravett 128 0.5× 79 0.7× 50 1.5× 7 0.5× 17 1.3× 7 260
Hope Forsyth 173 0.7× 187 1.6× 42 1.3× 49 3.8× 19 1.5× 4 251

Countries citing papers authored by Laurence Guillot

Since Specialization
Citations

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

Fields of papers citing papers by Laurence Guillot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence Guillot

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