Infection et inflammation

27.6k citations
1.5k papers ·

Impact in

Papers in

Infection et inflammation

1.3k papers receiving 25.9k citations

Peers

Infection et inflammation
Comparison fields: 5 of 243
  • Computational Mathematics 115
  • Infectious Diseases 1.7k
  • Oral Surgery 570
  • Pathology and Forensic Medicine 1.3k
  • Orthodontics 313
Replace Descartes (Belgium) with:
Descartes (Belgium) Belgium
Institut de Biologie Valrose France
Zimmer Biomet (Netherlands) Netherlands
Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé France
Leatherhead Food Research United Kingdom
Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie France
Transnational University Limburg Belgium
Délégation Provence et Corse France
TH Bingen University of Applied Sciences Germany
AZ Sint-Lucas Belgium
Infection et inflammation relative to Descartes (Belgium) Belgium Descartes (Belgium)'s profile →
Citations per field
00.5×10×12.8×
Descartes (Belgium) · 1×
Citations per year

Countries citing scholars working at Infection et inflammation

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Infection et inflammation. 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 papers produced at Infection et inflammation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Infection et inflammation more than expected).

Fields of papers published by authors at Infection et inflammation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Infection et inflammation at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Infection et inflammation at the time of their publication.

About Infection et inflammation

In recent decades, authors affiliated with Infection et inflammation have published 1.5k papers, which have received a total of 27.6k indexed citations . Scholars at this organization have produced 8 papers in Computational Mathematics, 173 papers in Computer Networks and Communications, 45 papers in Hardware and Architecture, 124 papers in Computer Vision and Pattern Recognition and 88 papers in Computational Theory and Mathematics on the topics of Cultural Insights and Digital Impacts (48 papers), Diverse multidisciplinary academic research (37 papers), Medical Image Segmentation Techniques (31 papers), Respiratory viral infections research (30 papers), Advanced Vision and Imaging (29 papers), Distributed and Parallel Computing Systems (27 papers), Linguistics and Discourse Analysis (27 papers) and Blind Source Separation Techniques (26 papers). Their work is cited by papers focused on Computational Mathematics (115 citations), Infectious Diseases (1.7k citations), Oral Surgery (570 citations), Pathology and Forensic Medicine (1.3k citations) and Orthodontics (313 citations). Authors at Infection et inflammation collaborate with scholars in France, United States and United Kingdom and have published in prestigious journals including Frontiers in Immunology, Lecture notes in computer science, Physical Chemistry Chemical Physics, Theoretical Computer Science and PLoS ONE. Some of Infection et inflammation's most productive authors include Anestis Antoniadis, Thierry Ramadier, Jean‐Louis Herrmann, Laurent Kremer, M. Maamer, Najiba Sbihi, Matt D. Johansen, Paul Preziosi, Pilar Galán and Serge Herçberg.

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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