Olivier Debeir

4.1k citations
118 papers · 2.9k indexed · h-index 29

Olivier Debeir

110 papers receiving 2.8k citations

Peers

Olivier Debeir
Comparison fields: 5 of 168
  • Biophysics 462
  • Media Technology 401
  • Computer Vision and Pattern Recognition 426
  • Cell Biology 274
  • Toxicology 44
Replace Olli Yli‐Harja with:
Olli Yli‐Harja Finland
Carlos Ortíz-de-Solórzano Spain
Linna Zhang China
Siyuan Zhang China
Maurice Whelan Italy
S.A. Latt United States
Cheng Lu China
Yichen Wu Taiwan
Qingli Li China
Hang Chang United States
Olivier Debeir relative to Olli Yli‐Harja Finland Olli Yli‐Harja's profile →
Citations per field
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Citations per year

Countries citing papers authored by Olivier Debeir

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Debeir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 202310
3 202310
4 202314
5 202225
6 20226
7 20213
8 20211
9 20219
10
Deep-shift phase contrast cell detection and tracking
20191
11 20151
12 201331
13 201277
14
Detecting man-made structure changes to assist geographic data producers in planning their update strategy
20107
15 200923
16 200925
17 2008140
18 200839
19
Numérisation 3D de la grotte d'El Castillo (Puente Viesgo)
20072
20 200641

About Olivier Debeir

Olivier Debeir is a scholar working on Biophysics, Health Informatics and Computer Vision and Pattern Recognition, having authored 118 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (27 papers), AI in cancer detection (17 papers), Advanced Vision and Imaging (8 papers), Remote Sensing in Agriculture (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Cellular Mechanics and Interactions (7 papers), Medical Image Segmentation Techniques (6 papers) and Remote Sensing and LiDAR Applications (6 papers). The work is most often cited by research in Biophysics (462 citations), Media Technology (401 citations) and Computer Vision and Pattern Recognition (426 citations). Olivier Debeir has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Christine Decaestecker, Róbert Kiss, Philippe Van Ham, Éléonore Wolff, Polina Lemenkova, Alexandre Carleer, Tatjana Mijatovic, P. Van Ham, Isabelle Salmon and Francis Darro. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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