Ève Coste-Manière

34 papers receiving 697 citations

Peers

Ève Coste-Manière
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 302
  • Biomedical Engineering 210
  • Surgery 203
  • Mechanical Engineering 140
  • Control and Systems Engineering 139
Replace Jérémie Allard with:
Jérémie Allard France
Daisuke Deguchi Japan
Uwe Kühnapfel Germany
Jung-Woo Chang South Korea
Samir A. Rawashdeh United States
R. Curwen United Kingdom
David Mulvaney United Kingdom
Yuzhuo Fu China
Jie Ying Wu United States
Ève Coste-Manière relative to Jérémie Allard France Jérémie Allard's profile →
Citations per field
00.5×1.6×
Jérémie Allard · 1×
Citations per year

Countries citing papers authored by Ève Coste-Manière

Since Specialization
Citations

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

Fields of papers citing papers by Ève Coste-Manière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ève Coste-Manière. 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 Ève Coste-Manière. The network helps show where Ève Coste-Manière may publish in the future.

Co-authorship network of co-authors of Ève Coste-Manière

This figure shows the co-authorship network connecting the top 25 collaborators of Ève Coste-Manière. A scholar is included among the top collaborators of Ève Coste-Manière 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 Ève Coste-Manière. Ève Coste-Manière is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 39
2 51
3 37
4 3
5 3
6 12
7 4
8 76
9 8
10 3
11 19
12
Structured light on dynamic scenes using standard stereoscopy algorithms
7
13 42
14 1
15 58
16 1
17 6
18 2
19 6
20
Task-level robot programming combining object-oriented design and synchronous approach : a tentative study
6

About Ève Coste-Manière

Ève Coste-Manière is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 34 papers that have together received 753 indexed citations. Recurring topics across this work include Surgical Simulation and Training (9 papers), Soft Robotics and Applications (8 papers) and Formal Methods in Verification (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (302 citations), Hardware and Architecture (78 citations) and Control and Systems Engineering (139 citations). Ève Coste-Manière has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Fabien Mourgues, Reid Simmons, Frédéric Devernay, Elliot R. McVeigh, Bernard Espiau, Oussama Khatib, Daniel Simon, Arshed A. Quyyumi, G. Shechter and Raymond Schulz. Their work appears in journals such as IEEE Transactions on Medical Imaging, The International Journal of Robotics Research and The Annals of Thoracic Surgery.

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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