Loı̈c Prylli

37 total papers · 465 total citations
11 papers, 93 citations indexed

About

Loı̈c Prylli is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Loı̈c Prylli has authored 11 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 1 paper in Artificial Intelligence. Recurrent topics in Loı̈c Prylli's work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (7 papers) and Distributed and Parallel Computing Systems (5 papers). Loı̈c Prylli is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (7 papers) and Distributed and Parallel Computing Systems (5 papers). Loı̈c Prylli collaborates with scholars based in France and Guadeloupe. Loı̈c Prylli's co-authors include Bernard Tourancheau, Luc Bougé, Jean‐François Méhaut, Raymond Namyst, Guillaume Mercier, Olivier Aumage, Alexandre Denis, Jack Dongarra and Brice Goglin and has published in prestigious journals such as Journal of Parallel and Distributed Computing, Parallel Computing and Cluster Computing.

In The Last Decade

Loı̈c Prylli

11 papers receiving 86 citations

Author Peers

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

Author Last Decade Papers Cites
Loı̈c Prylli 82 67 6 6 5 11 93
Mehmet Belgin 62 0.8× 46 0.7× 11 1.8× 13 2.2× 13 2.6× 12 75
Alessia Milani 70 0.9× 22 0.3× 7 1.2× 6 1.0× 4 0.8× 15 71
Daniel Prokesch 56 0.7× 127 1.9× 9 1.5× 15 2.5× 3 0.6× 11 132
Swan Dubois 66 0.8× 22 0.3× 6 1.0× 12 2.0× 2 0.4× 16 70
Nadav Rotem 39 0.5× 60 0.9× 2 0.3× 4 0.7× 5 1.0× 11 66
M. Michelotto 49 0.6× 24 0.4× 3 0.5× 2 0.3× 14 2.8× 13 66
Bok-Gyu Joo 71 0.9× 17 0.3× 14 2.3× 6 1.0× 8 1.6× 16 100
Jean-Pierre Prost 204 2.5× 151 2.3× 14 2.3× 9 1.5× 19 3.8× 15 218
R. Bellofatto 60 0.7× 78 1.2× 3 0.5× 3 0.5× 9 1.8× 8 102
Alain Cournier 85 1.0× 37 0.6× 4 0.7× 19 3.2× 12 96

Countries citing papers authored by Loı̈c Prylli

Since Specialization
Citations

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

Fields of papers citing papers by Loı̈c Prylli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loı̈c Prylli

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