Matthieu Biais
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Biomedical Engineering top 10%
- Epidemiology top 10%
- Critical Care and Intensive Care Medicine top 1%
- Co-authors
- F. SztarkKarine Nouette‐GaulainVincent CottenceauC. CarriéMusa SesayHugues de CoursonLaurent PetitP. Revel
- Topics
- Hemodynamic Monitoring and Therapy (29 papers)Cardiac, Anesthesia and Surgical Outcomes (21 papers)Non-Invasive Vital Sign Monitoring (18 papers)
- Cited by
- Critical Care and Intensive Care MedicineAnesthesiology and Pain MedicineCardiology and Cardiovascular Medicine
- Partner nations
- FranceUnited StatesArgentina
In The Last Decade
Matthieu Biais
73 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Surgery 1.1k
- Cardiology and Cardiovascular Medicine 655
- Biomedical Engineering 351
- Epidemiology 330
- Critical Care and Intensive Care Medicine 312
Countries citing papers authored by Matthieu Biais
This map shows the geographic impact of Matthieu Biais'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 Biais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Biais more than expected).
Fields of papers citing papers by Matthieu Biais
This network shows the impact of papers produced by Matthieu Biais. 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 Biais. The network helps show where Matthieu Biais may publish in the future.
Co-authorship network of co-authors of Matthieu Biais
This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Biais. A scholar is included among the top collaborators of Matthieu Biais 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 Biais. Matthieu Biais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 48 | |
| 10 | 27 | |
| 11 | 20 | |
| 12 | 16 | |
| 13 | 19 | |
| 14 | 12 | |
| 15 | 22 | |
| 16 | 2 | |
| 17 | 27 | |
| 18 | 34 | |
| 19 | 138 | |
| 20 | 8 |
About Matthieu Biais
Matthieu Biais is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine and Applied Microbiology and Biotechnology, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (29 papers), Cardiac, Anesthesia and Surgical Outcomes (21 papers) and Non-Invasive Vital Sign Monitoring (18 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (312 citations), Anesthesiology and Pain Medicine (162 citations) and Cardiology and Cardiovascular Medicine (655 citations). Matthieu Biais has collaborated with scholars based in France, United States and Argentina. Frequent co-authors include F. Sztark, Karine Nouette‐Gaulain, Vincent Cottenceau, C. Carrié, Musa Sesay, Hugues de Courson, Laurent Petit, P. Revel, O Bernard and Philippe Revel. Their work appears in journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Critical Care Medicine.
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.