Grégory Paul
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
-
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Medical Image Segmentation Techniques 2
- Image Processing and 3D Reconstruction 1
-
- Cell Image Analysis Techniques 5
- Advanced Fluorescence Microscopy Techniques 3
- Co-authors
- Ivo F. Sbalzarini (6 shared papers)Janick Cardinale (3 shared papers)Urs Ziegler (1 shared paper)Pietro Incardona (1 shared paper)Philipp Berger (1 shared paper)Maysam Mansouri (1 shared paper)Axel Niemann (1 shared paper)Milica Bugarski (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (2 papers)International Journal of Computer Vision (1 paper)Nature Protocols (1 paper)Nature Communications (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- SwitzerlandGermanyJapan
In The Last Decade
Grégory Paul
10 papers receiving 480 citations
Peers
Comparison fields: 5 of 95
- Biophysics 135
- Hematology 68
- Structural Biology 7
- Media Technology 42
- Aging 8
Countries citing papers authored by Grégory Paul
This map shows the geographic impact of Grégory Paul'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 Grégory Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégory Paul more than expected).
Fields of papers citing papers by Grégory Paul
This network shows the impact of papers produced by Grégory Paul. 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 Grégory Paul. The network helps show where Grégory Paul may publish in the future.
Co-authors
The 22 scholars most cited alongside Grégory Paul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 175 | |
| 2 | 2018 | 108 | |
| 3 | 2010 | 67 | |
| 4 | 2013 | 65 | |
| 5 | 2012 | 32 | |
| 6 | 2012 | 23 | |
| 7 | 2015 | 4 | |
| 8 | 2011 | 4 | |
| 9 | 2017 | 3 | |
| 10 | 1987 | 1 | |
| 11 | 2018 | 0 |
About Grégory Paul
Grégory Paul is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Molecular Biology, Computational Mechanics and Cell Biology, having authored 11 papers that have together received 482 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Single-cell and spatial transcriptomics (2 papers), Computer Graphics and Visualization Techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Cellular Mechanics and Interactions (2 papers), 3D Shape Modeling and Analysis (1 paper) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Biophysics (135 citations), Hematology (68 citations), Structural Biology (7 citations), Media Technology (42 citations) and Aging (8 citations). Grégory Paul has collaborated with scholars based in Switzerland, Germany and Japan. Frequent co-authors include Ivo F. Sbalzarini, Janick Cardinale, Urs Ziegler, Pietro Incardona, Philipp Berger, Maysam Mansouri, Axel Niemann, Milica Bugarski, Aurélien Rizk and Gábor Székely. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision, Nature Protocols, Nature Communications and BMC Bioinformatics.
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.