François Portier

1.3k citations
61 papers · 821 · h-index 15

Impact in

Papers in

    • Statistical Methods and Inference 15
    • Markov Chains and Monte Carlo Methods 3
    • Statistical Methods and Bayesian Inference 3
    • Abdominal Trauma and Injuries 4

François Portier

57 papers receiving 795 citations

Peers

François Portier
Comparison fields: 5 of 121
  • Internal Medicine 98
  • Biomaterials 115
  • Surgery 274
  • Rheumatology 79
  • Statistics and Probability 42
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Citations per year

Countries citing papers authored by François Portier

Since Specialization
Citations

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

Fields of papers citing papers by François Portier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by François Portier. 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 François Portier. The network helps show where François Portier may publish in the future.

Co-authors

The 25 scholars most cited alongside François Portier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with François Portier Line = papers co-authored together François Portier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999145
2 201394
3 200364
4 201653
5 200039
6 200331
7
Lemierre syndrome: usefulness of CT in detection of extensive occult thrombophlebitis.
200229
8 200225
9 201825
10 201423
11 200223
12 200120
13 201619
14 201815
15 201714
16 200312
17 200211
18
Ion transports in the middle ear epithelium.
199811
19 202110
20 199710

About François Portier

François Portier is a scholar working on Statistics and Probability, Surgery, Artificial Intelligence, Pulmonary and Respiratory Medicine and Rheumatology, having authored 61 papers that have together received 821 indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Bayesian Methods and Mixture Models (7 papers), Mathematical Approximation and Integration (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Abdominal Trauma and Injuries (4 papers), Markov Chains and Monte Carlo Methods (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in Internal Medicine (98 citations), Biomaterials (115 citations), Surgery (274 citations), Rheumatology (79 citations) and Statistics and Probability (42 citations). François Portier has collaborated with scholars based in France, Belgium and Switzerland. Frequent co-authors include M. Panuel, P Orsoni, Marc Barthet, Laurent Bouteiller, P. Schnyder, J.C. Grimaud, Matthieu Raynal, Piet W. N. M. van Leeuwen, Ariadne Desjeux and Alban Denys. Their work appears in journals such as Bernoulli, Journal of Multivariate Analysis, European Radiology, Journal of Endovascular Therapy and Journal of Pediatric Gastroenterology and Nutrition.

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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