Grégory Paul

687 total citations
11 papers, 482 citations indexed

About

Grégory Paul is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Molecular Biology. According to data from OpenAlex, Grégory Paul has authored 11 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Biophysics and 2 papers in Molecular Biology. Recurrent topics in Grégory Paul's work include Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Single-cell and spatial transcriptomics (2 papers). Grégory Paul is often cited by papers focused on Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Single-cell and spatial transcriptomics (2 papers). Grégory Paul collaborates with scholars based in Switzerland, Germany and Japan. Grégory Paul's co-authors include Ivo F. Sbalzarini, Janick Cardinale, Pietro Incardona, Axel Niemann, Milica Bugarski, Urs Ziegler, Aurélien Rizk, Maysam Mansouri, Philipp Berger and Gábor Székely and has published in prestigious journals such as Nature Communications, Nature Protocols and IEEE Transactions on Image Processing.

In The Last Decade

Grégory Paul

10 papers receiving 480 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Grégory Paul Switzerland	6	179	135	82	68	61	11	482
Nico Scherf Germany	14	234 1.3×	283 2.1×	38 0.5×	44 0.6×	86 1.4×	44	630
Oliver Hilsenbeck Switzerland	11	410 2.3×	294 2.2×	67 0.8×	130 1.9×	71 1.2×	13	816
Sheng Xiao China	16	196 1.1×	83 0.6×	39 0.5×	22 0.3×	23 0.4×	56	673
Michael Schwarzfischer Germany	11	299 1.7×	223 1.7×	60 0.7×	13 0.2×	36 0.6×	11	511
Petter Ranefall Sweden	15	275 1.5×	154 1.1×	82 1.0×	8 0.1×	25 0.4×	32	665
Vidya Venkatachalam United States	6	225 1.3×	163 1.2×	37 0.5×	25 0.4×	16 0.3×	10	473
Nao Nitta Japan	10	141 0.8×	132 1.0×	25 0.3×	23 0.3×	31 0.5×	18	638
Cleopatra Kozlowski United States	12	278 1.6×	106 0.8×	65 0.8×	44 0.6×	155 2.5×	22	1.0k
Michael Strasser Germany	7	202 1.1×	100 0.7×	25 0.3×	9 0.1×	27 0.4×	16	341
G. Zinser Germany	10	138 0.8×	91 0.7×	32 0.4×	11 0.2×	34 0.6×	20	721

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-authorship network of co-authors of Grégory Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Paul. A scholar is included among the top collaborators of Grégory Paul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Grégory Paul. Grégory Paul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Gomariz, Álvaro, Patrick M. Helbling, Stephan Isringhausen, et al.. (2018). Quantitative spatial analysis of haematopoiesis-regulating stromal cells in the bone marrow microenvironment by 3D microscopy. Nature Communications. 9(1). 2532–2532. 108 indexed citations

2.

Székely, Gábor, et al.. (2018). A Bayesian Framework for the Analog Reconstruction of Kymographs From Fluorescence Microscopy Data. IEEE Transactions on Image Processing. 28(1). 410–425.

3.

Székely, Gábor, et al.. (2017). Tracking microtubule ends is more than point tracking. 808–812. 3 indexed citations

4.

Székely, Gábor, et al.. (2015). Mapping complex spatio-temporal models to image space: The virtual microscope. 707–711. 4 indexed citations

5.

Rizk, Aurélien, Grégory Paul, Pietro Incardona, et al.. (2014). Segmentation and quantification of subcellular structures in fluorescence microscopy images using Squassh. Nature Protocols. 9(3). 586–596. 175 indexed citations

6.

Paul, Grégory, Janick Cardinale, & Ivo F. Sbalzarini. (2013). Coupling Image Restoration and Segmentation: A Generalized Linear Model/Bregman Perspective. International Journal of Computer Vision. 104(1). 69–93. 65 indexed citations

7.

Gong, Yuanhao, Grégory Paul, & Ivo F. Sbalzarini. (2012). Coupled signed-distance functions for implicit surface reconstruction. 1000–1003. 23 indexed citations

8.

Cardinale, Janick, Grégory Paul, & Ivo F. Sbalzarini. (2012). Discrete Region Competition for Unknown Numbers of Connected Regions. IEEE Transactions on Image Processing. 21(8). 3531–3545. 32 indexed citations

9.

Paul, Grégory, Janick Cardinale, & Ivo F. Sbalzarini. (2011). An alternating split Bregman algorithm for multi-region segmentation. 426–430. 4 indexed citations

10.

Paul, Grégory, et al.. (2010). Beyond co-localization: inferring spatial interactions between sub-cellular structures from microscopy images. BMC Bioinformatics. 11(1). 372–372. 67 indexed citations

11.

Paul, Grégory, et al.. (1987). Hybrid Expert Systems In Image Analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 657. 9–9. 1 indexed citations

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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