Mathieu Carrière
Impact in
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- Topological and Geometric Data Analysis
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Topological and Geometric Data Analysis 10
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- Homotopy and Cohomology in Algebraic Topology 5
- Co-authors
- Steve Oudot (5 shared papers)Maks Ovsjanikov (1 shared paper)Steve Doucette (1 shared paper)Ronald G. Gerridzen (1 shared paper)Anthony J Bella (1 shared paper)Christopher Morash (1 shared paper)Ilias Cagiannos (1 shared paper)Mark Preston (1 shared paper)
- Journals
- European Urology (1 paper)Mathematical Programming (1 paper)BMC Bioinformatics (1 paper)Computer Graphics Forum (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Mathieu Carrière
8 papers receiving 115 citations
Peers
Comparison fields: 5 of 31
- Computational Theory and Mathematics 79
- Biophysics 24
- Mathematical Physics 17
- Computer Vision and Pattern Recognition 26
- Computer Graphics and Computer-Aided Design 4
Countries citing papers authored by Mathieu Carrière
This map shows the geographic impact of Mathieu Carrière'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 Mathieu Carrière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Carrière more than expected).
Fields of papers citing papers by Mathieu Carrière
This network shows the impact of papers produced by Mathieu Carrière. 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 Mathieu Carrière. The network helps show where Mathieu Carrière may publish in the future.
Co-authors
The 15 scholars most cited alongside Mathieu Carrière, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 48 | |
| 2 | 2010 | 31 | |
| 3 | Structure and Stability of the One-Dimensional Mapper | 2017 | 26 |
| 4 | 2017 | 5 | |
| 5 | 2025 | 4 | |
| 6 | 2019 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 2 | |
| 9 | On the Metric Distortion of Embedding Persistence Diagrams into Reproducing Kernel Hilbert Spaces. | 2018 | 1 |
| 10 | 2023 | 0 | |
| 11 | Statistical analysis and parameter selection for Mapper | 2018 | 0 |
About Mathieu Carrière
Mathieu Carrière is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 11 papers that have together received 124 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (10 papers), Homotopy and Cohomology in Algebraic Topology (5 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Genomics and Chromatin Dynamics (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper), Advanced Vision and Imaging (1 paper), Digital Image Processing Techniques (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (79 citations), Biophysics (24 citations), Mathematical Physics (17 citations), Computer Vision and Pattern Recognition (26 citations) and Computer Graphics and Computer-Aided Design (4 citations). Mathieu Carrière has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Steve Oudot, Maks Ovsjanikov, Steve Doucette, Ronald G. Gerridzen, Anthony J Bella, Christopher Morash, Ilias Cagiannos, Mark Preston, James A. Eastham and Peter T. Scardino. Their work appears in journals such as European Urology, Mathematical Programming, BMC Bioinformatics, Computer Graphics Forum and HAL (Le Centre pour la Communication Scientifique Directe).
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.