Grégory Paul

727 citations
12 papers · 520 · h-index 6

Impact in

  • Biophysics top 2%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Cell Image Analysis Techniques 4
    • Advanced Fluorescence Microscopy Techniques 2
    • Medical Image Segmentation Techniques 2
    • Advanced Image and Video Retrieval Techniques 1
    • Image Retrieval and Classification Techniques 1

Grégory Paul

10 papers receiving 519 citations

Peers

Grégory Paul
Comparison fields: 5 of 96
  • Biophysics 141
  • Hematology 67
  • Structural Biology 7
  • Media Technology 42
  • Aging 8
Replace Nico Scherf with:
Nico Scherf Germany
Michael Schwarzfischer Germany
Isabel Vallcorba Spain
Oliver Hilsenbeck Switzerland
Ev L. Nichols United States
Michael K. Strasser Germany
Vidya Venkatachalam United States
Bart J. Vermolen Netherlands
Walter de Back Germany
Lisa L. Satterwhite United States
Grégory Paul relative to Nico Scherf Germany Nico Scherf's profile →
Citations per field
00.5×1.6×
Nico Scherf · 1×
Citations per year

Countries citing papers authored by Grégory Paul

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 23 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.

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

All Works

12 of 12 papers shown
#Work
1 2014183
2 2018123
3 201074
4 201369
5 201233
6 201224
7 20116
8 20154
9 20173
10 19871
11 20180
12 20210

About Grégory Paul

Grégory Paul is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics and Modeling and Simulation, having authored 12 papers that have together received 520 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Medical Image Segmentation Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Biophysics (141 citations), Hematology (67 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, Maysam Mansouri, Urs Ziegler, Pietro Incardona, Milica Bugarski, Philipp Berger, Aurélien Rizk, Axel Niemann, Gábor Székely and Andreas Boss. Their work appears in journals such as IEEE Transactions on Image Processing, Computer Vision and Image Understanding, International Journal of Computer Vision, Nature Protocols and Nature Communications.

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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