Mathieu Giraud
Impact in
- Sensory Systems top 5%
- Olfactory and Sensory Function Studies
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- Chronic Lymphocytic Leukemia Research
Papers in
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- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 6
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- Algorithms and Data Compression 8
- Co-authors
- Mikaël Salson (9 shared papers)Maud Rimbault (1 shared paper)Kerstin Lindblad‐Toh (1 shared paper)Jacques Nicolas (1 shared paper)Sandrine Tacher (1 shared paper)Patricia Lavigne (1 shared paper)Emmanuelle Morin (1 shared paper)Pascale Quignon (1 shared paper)
- Journals
- Parallel Computing (2 papers)Journal of Computational Biology (2 papers)Computer Music Journal (1 paper)Molecular & Cellular Proteomics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Mathieu Giraud
33 papers receiving 428 citations
Peers
Comparison fields: 5 of 97
- Sensory Systems 78
- Genetics 53
- Nutrition and Dietetics 65
- Immunology 85
- Hepatology 31
Countries citing papers authored by Mathieu Giraud
This map shows the geographic impact of Mathieu Giraud'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 Giraud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Giraud more than expected).
Fields of papers citing papers by Mathieu Giraud
This network shows the impact of papers produced by Mathieu Giraud. 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 Giraud. The network helps show where Mathieu Giraud may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Giraud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 113 | |
| 2 | 2016 | 53 | |
| 3 | 2014 | 47 | |
| 4 | 2017 | 47 | |
| 5 | 2008 | 26 | |
| 6 | 2016 | 18 | |
| 7 | 2016 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 12 | |
| 10 | 1981 | 11 | |
| 11 | 2005 | 10 | |
| 12 | 2006 | 8 | |
| 13 | 2010 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2012 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2023 | 5 | |
| 20 | GPU Parallization of Algebraic Dynamic Programming | 2009 | 4 |
About Mathieu Giraud
Mathieu Giraud is a scholar working on Molecular Biology, Artificial Intelligence, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition and Genetics, having authored 37 papers that have together received 441 indexed citations. Recurring topics across this work include Algorithms and Data Compression (8 papers), Genomics and Phylogenetic Studies (7 papers), Music Technology and Sound Studies (6 papers), Lymphoma Diagnosis and Treatment (6 papers), RNA and protein synthesis mechanisms (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Music and Audio Processing (5 papers) and Acute Lymphoblastic Leukemia research (4 papers). The work is most often cited by research in Sensory Systems (78 citations), Genetics (53 citations), Nutrition and Dietetics (65 citations), Immunology (85 citations) and Hepatology (31 citations). Mathieu Giraud has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Mikaël Salson, Maud Rimbault, Kerstin Lindblad‐Toh, Jacques Nicolas, Sandrine Tacher, Patricia Lavigne, Emmanuelle Morin, Pascale Quignon, Francis Galibert and Florian Thonier. Their work appears in journals such as Parallel Computing, Journal of Computational Biology, Computer Music Journal, Molecular & Cellular Proteomics and BMC Bioinformatics.
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.