Claire Mathieu

2.7k citations
74 papers · 1.3k · h-index 20

Impact in

Papers in

Claire Mathieu

68 papers receiving 1.2k citations

Peers

Claire Mathieu
Comparison fields: 5 of 121
  • Management Science and Operations Research 168
  • Materials Chemistry 559
  • Computational Theory and Mathematics 154
  • Marketing 87
  • Computer Graphics and Computer-Aided Design 31
Replace Yanyan He with:
Yanyan He China
Amit Chakrabarti United States
Michael Segal Israel
Ross Schaller United States
Robert P. Smith United Kingdom
Keunho Choi South Korea
Yiming Li Taiwan
Toshio Nishida Japan
Utpal Roy United States
Manish Agarwal India
Claire Mathieu relative to Yanyan He China Yanyan He's profile →
Citations per field
00.5×7.8×
Yanyan He · 1×
Citations per year

Countries citing papers authored by Claire Mathieu

Since Specialization
Citations

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

Fields of papers citing papers by Claire Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Claire Mathieu, 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 Claire Mathieu Line = papers co-authored together Claire Mathieu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019109
2 201295
3 200790
4 201275
5 200866
6 201156
7 201549
8 200947
9 200645
10 201245
11 201342
12 200833
13 201428
14 201227
15 201727
16 201225
17 201724
18 201621
19 201420
20 201819

About Claire Mathieu

Claire Mathieu is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (14 papers), Graphene research and applications (10 papers), Optimization and Search Problems (9 papers), Advanced Graph Theory Research (9 papers), Electronic and Structural Properties of Oxides (9 papers), Ferroelectric and Piezoelectric Materials (9 papers), Computational Geometry and Mesh Generation (8 papers) and Semiconductor materials and devices (7 papers). The work is most often cited by research in Management Science and Operations Research (168 citations), Materials Chemistry (559 citations), Computational Theory and Mathematics (154 citations), Marketing (87 citations) and Computer Graphics and Computer-Aided Design (31 citations). Claire Mathieu has collaborated with scholars based in France, United States and Germany. Frequent co-authors include N. Barrett, Benjamin Birnbaum, Philip N. Klein, Abdelkarim Ouerghi, Vincent Cohen-Addad, Aparna Das, Frederik Mallmann-Trenn, Varun Kanade, Rachid Belkhou and Glencora Borradaile. Their work appears in journals such as ACM Transactions on Algorithms, Applied Physics Letters, Algorithmica, SIAM Journal on Computing and Physical Review B.

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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