Pierre Tirilly

77 total papers · 496 total citations
20 papers, 158 citations indexed

About

Pierre Tirilly is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Pierre Tirilly has authored 20 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Pierre Tirilly's work include Advanced Memory and Neural Computing (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Image Retrieval and Classification Techniques (6 papers). Pierre Tirilly is often cited by papers focused on Advanced Memory and Neural Computing (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Image Retrieval and Classification Techniques (6 papers). Pierre Tirilly collaborates with scholars based in France, United States and Canada. Pierre Tirilly's co-authors include Ioan Marius Bilasco, Pierre Boulet, Patrick Gros, Vincent Claveau, Catherine Guastavino, Nicu Sebe, Chaabane Djéraba, Jesse David Dinneen, Mark J. Lim and Jin Zhang and has published in prestigious journals such as Pattern Recognition, Frontiers in Neuroscience and Signal Processing Image Communication.

In The Last Decade

Pierre Tirilly

19 papers receiving 149 citations

Author Peers

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

Author Last Decade Papers Cites
Pierre Tirilly 68 64 49 48 20 20 158
Stephan Tschechne 50 0.7× 65 1.0× 53 1.1× 40 0.8× 3 0.1× 10 155
Nikhil Garg 34 0.5× 50 0.8× 36 0.7× 99 2.1× 17 0.8× 24 203
Xiao Ming-qing 32 0.5× 102 1.6× 91 1.9× 56 1.2× 6 0.3× 25 197
Maitane Barrenechea 62 0.9× 50 0.8× 15 0.3× 21 0.4× 6 0.3× 23 257
Lin Ding 22 0.3× 30 0.5× 11 0.2× 36 0.8× 17 0.8× 27 192
David Doukhan 73 1.1× 15 0.2× 55 1.1× 63 1.3× 5 0.3× 12 177
Stephanie C. Y. Chan 34 0.5× 18 0.3× 76 1.6× 116 2.4× 16 0.8× 16 253
Philip J. Harding 37 0.5× 20 0.3× 90 1.8× 47 1.0× 19 0.9× 17 189
David G. T. Barrett 65 1.0× 50 0.8× 75 1.5× 111 2.3× 4 0.2× 11 205
Ioan Marius Bilasco 111 1.6× 63 1.0× 55 1.1× 60 1.3× 8 0.4× 23 219

Countries citing papers authored by Pierre Tirilly

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Tirilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Tirilly

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