Olivier Pradier

8.4k citations
223 papers · 6.3k indexed · 2 hit papers · h-index 39

Impact in

Papers in

Olivier Pradier

212 papers receiving 6.2k citations

Hit Papers

18F-FDG PET Uptake Characterization Through Texture Analysis: Investigating the Complementary Nature of Heterogeneity and Functional Tumor Volume in a Multi–Cancer Site Patient Cohort 2014 · 361 citations
3612011202620162021100200300400500

Peers

Olivier Pradier
Comparison fields: 5 of 138
  • Radiology, Nuclear Medicine and Imaging 3.2k
  • Otorhinolaryngology 581
  • Radiation 546
  • Pulmonary and Respiratory Medicine 1.8k
  • Oncology 1.1k
Replace P Callard with:
P Callard France
Diana Tait United Kingdom
Takehiko Fujisawa Japan
Michael T. Jaklitsch United States
Ichiro Yoshino Japan
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I. Zuna Germany
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Olivier Pradier relative to P Callard France P Callard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Olivier Pradier

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Pradier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Olivier Pradier, 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 Olivier Pradier Line = papers co-authored together Olivier Pradier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20236
3 202317
4 20221
5 20203
6 202045
7 2019137
8 201811
9 20176
10 20164
11 201620
12 201614
13 20140
14 20143
15 201422
16 201248
17 20078
18 200620
19 20024
20 19994

About Olivier Pradier

Olivier Pradier is a scholar working on Radiation, Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Hematology, having authored 223 papers that have together received 6.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (46 papers), Advanced Radiotherapy Techniques (45 papers), Medical Imaging Techniques and Applications (35 papers), Lung Cancer Diagnosis and Treatment (21 papers), Head and Neck Cancer Studies (20 papers), MRI in cancer diagnosis (18 papers), Prostate Cancer Diagnosis and Treatment (17 papers) and Glioma Diagnosis and Treatment (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.2k citations), Otorhinolaryngology (581 citations), Radiation (546 citations), Pulmonary and Respiratory Medicine (1.8k citations) and Oncology (1.1k citations). Olivier Pradier has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include Dimitris Visvikis, Mathieu Hatt, Catherine Cheze Le Rest, Florent Tixier, Jean‐Louis Vincent, Ulrike Schick, N. Albarghach, François Lucia, Jean‐Philippe Metges and Laurent Corcos. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancers, Radiotherapy and Oncology, Strahlentherapie und Onkologie and Medical Physics.

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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