Matthieu Martel

943 citations
39 papers · 159 · h-index 6

Impact in

Papers in

Matthieu Martel

30 papers receiving 151 citations

Peers

Matthieu Martel
Comparison fields: 5 of 29
  • Hardware and Architecture 72
  • Computational Theory and Mathematics 122
  • Software 26
  • Signal Processing 17
  • Artificial Intelligence 49
Replace Yong Kiam Tan with:
Yong Kiam Tan Sweden
Eva Darulová Germany
Sylvie Putot France
Aude Maignan France
Tino Teige Germany
A. S. Kossatchev Russia
Christoph Lauter France
Marc Daumas France
Yakir Vizel United States
Mizuhito Ogawa Japan
Matthieu Martel relative to Yong Kiam Tan Sweden Yong Kiam Tan's profile →
Citations per field
00.5×2.8×
Yong Kiam Tan · 1×
Citations per year

Countries citing papers authored by Matthieu Martel

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Martel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Matthieu Martel, 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 Matthieu Martel Line = papers co-authored together Matthieu Martel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200931
2 200618
3 200616
4 200911
5 200911
6 20167
7 20135
8 20045
9 20214
10 20154
11 19974
12
Proceedings of the 10th international conference on Static analysis
20034
13 20223
14 20143
15 20223
16 20143
17 20163
18 20193
19 20113
20 20182

About Matthieu Martel

Matthieu Martel is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Artificial Intelligence, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 39 papers that have together received 159 indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (25 papers), Parallel Computing and Optimization Techniques (17 papers), Formal Methods in Verification (8 papers), Model Reduction and Neural Networks (7 papers), Logic, programming, and type systems (6 papers), Embedded Systems Design Techniques (6 papers), Low-power high-performance VLSI design (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Hardware and Architecture (72 citations), Computational Theory and Mathematics (122 citations), Software (26 citations), Signal Processing (17 citations) and Artificial Intelligence (49 citations). Matthieu Martel has collaborated with scholars based in France, United States and Algeria. Frequent co-authors include Alexandre Chapoutot, Olivier Bouissou, Francesco Logozzo, Radhia Cousot, Pierre-Loïc Garoche, Pavithra Prabhakar, Mikaël Barboteu, Céline Bellanger and Sergiy Bogomolov. Their work appears in journals such as Science of Computer Programming, LISP and Symbolic Computation, Formal Methods in System Design, Journal of Systems Architecture and ACM Transactions on Embedded Computing Systems.

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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