Matthieu Martin
- Information Systems top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Biomedical Engineering
- Co-authors
- Elie BurszteinJohn C. MitchellJohn TemesiGianluca VernilloGuillaume Y. MilletTetiana AksenovaPhilippe DelachartreAntoine Souloumiac
- Topics
- Neonatal and fetal brain pathology (4 papers)Fetal and Pediatric Neurological Disorders (4 papers)Muscle activation and electromyography studies (4 papers)
In The Last Decade
Matthieu Martin
14 papers receiving 355 citations
Peers
Comparison fields: 5 of 54
- Information Systems 188
- Signal Processing 110
- Computer Vision and Pattern Recognition 86
- Cognitive Neuroscience 79
- Biomedical Engineering 69
Countries citing papers authored by Matthieu Martin
This map shows the geographic impact of Matthieu Martin'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 Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Martin more than expected).
Fields of papers citing papers by Matthieu Martin
This network shows the impact of papers produced by Matthieu Martin. 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 Martin. The network helps show where Matthieu Martin may publish in the future.
Co-authorship network of co-authors of Matthieu Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Martin. A scholar is included among the top collaborators of Matthieu Martin 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 Matthieu Martin. Matthieu Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 22 | |
| 3 | 34 | |
| 4 | 10 | |
| 5 | Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography. | 3 |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 48 | |
| 13 | 189 | |
| 14 | Beyond files recovery owade cloud-based forensic | 2 |
About Matthieu Martin
Matthieu Martin is a scholar working on Human-Computer Interaction, Orthopedics and Sports Medicine and Internal Medicine, having authored 14 papers that have together received 364 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (4 papers), Fetal and Pediatric Neurological Disorders (4 papers) and Muscle activation and electromyography studies (4 papers). The work is most often cited by research in Signal Processing (110 citations), Human-Computer Interaction (50 citations) and Information Systems (188 citations). Matthieu Martin has collaborated with scholars based in France, Canada and Italy. Frequent co-authors include Elie Bursztein, John C. Mitchell, John Temesi, Gianluca Vernillo, Guillaume Y. Millet, Tetiana Aksenova, Philippe Delachartre, Antoine Souloumiac, Philippe Quétin and Michaël Sdika. Their work appears in journals such as Journal of Neurophysiology, Neuroscience and Medicine & Science in Sports & Exercise.
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.