Benoît Meister

624 citations
29 papers · 344 · h-index 10

Impact in

Papers in

Benoît Meister

28 papers receiving 315 citations

Peers

Benoît Meister
Comparison fields: 5 of 33
  • Computational Mathematics 84
  • Hardware and Architecture 269
  • Computer Networks and Communications 191
  • Artificial Intelligence 76
  • Computer Graphics and Computer-Aided Design 8
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Meister

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Meister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Meister, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoît Meister Line = papers co-authored together Benoît Meister links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201362
2 201060
3 201245
4 201635
5 200229
6 201417
7 201612
8 200011
9
Joint scheduling and layout optimization to enable multi-level vectorization
201210
10 201510
11
Polynomial approximations in the polytope model: Bringing the power of quasi-polynomials to the masses
20087
12 20147
13 20136
14 20215
15 20135
16 20164
17 20164
18 20162
19 20152
20 20112

About Benoît Meister

Benoît Meister is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Computational Mathematics, having authored 29 papers that have together received 344 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (11 papers), Advanced Data Storage Technologies (7 papers), Tensor decomposition and applications (5 papers), Embedded Systems Design Techniques (4 papers), Cloud Computing and Resource Management (3 papers), Computational Physics and Python Applications (2 papers) and Health, Medicine and Society (2 papers). The work is most often cited by research in Computational Mathematics (84 citations), Hardware and Architecture (269 citations), Computer Networks and Communications (191 citations), Artificial Intelligence (76 citations) and Computer Graphics and Computer-Aided Design (8 citations). Benoît Meister has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Richard Lethin, Muthu Manikandan Baskaran, Nicolas Vasilache, Philippe Clauss, Vincent Loechner, Cédric Bastoul, Rob Knauerhase, Justin Teller, Sven Verdoolaege and Dave Dunning. Their work appears in journals such as IEEE Computer Graphics and Applications, The Journal of Supercomputing, ACM Transactions on Architecture and Code Optimization, ACM SIGARCH Computer Architecture News and Zenodo (CERN European Organization for Nuclear Research).

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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