F. Dibos

1.8k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

F. Dibos is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, F. Dibos has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in F. Dibos's work include Medical Image Segmentation Techniques (6 papers), Image and Signal Denoising Methods (3 papers) and Advanced Numerical Analysis Techniques (3 papers). F. Dibos is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Image and Signal Denoising Methods (3 papers) and Advanced Numerical Analysis Techniques (3 papers). F. Dibos collaborates with scholars based in France, Spain and Vietnam. F. Dibos's co-authors include Vicent Caselles, Tomeu Coll, Georges Koepfler, Francine Catté, Jean-Marie Rocchisani and Marie Luong and has published in prestigious journals such as IEEE Transactions on Image Processing, Numerische Mathematik and Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine).

In The Last Decade

F. Dibos

7 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A geometric model for active contours in image processing

1993 1.2k citations Vicent Caselles, Tomeu Coll et al. Numerische Mathematik profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Dibos France	4	1.1k	180	164	156	128	8	1.3k
Mikaël Rousson United States	16	1.4k 1.3×	141 0.8×	183 1.1×	424 2.7×	224 1.8×	23	1.8k
Karl Krissian Spain	16	991 0.9×	170 0.9×	267 1.6×	367 2.4×	71 0.6×	31	1.3k
Chuanjiang He China	21	966 0.9×	226 1.3×	304 1.9×	93 0.6×	95 0.7×	129	1.5k
Ning Xu China	13	529 0.5×	85 0.5×	150 0.9×	89 0.6×	120 0.9×	53	816
S. Kovacic Slovenia	9	721 0.7×	122 0.7×	43 0.3×	284 1.8×	92 0.7×	19	913
M. Petrou United Kingdom	15	866 0.8×	65 0.4×	197 1.2×	41 0.3×	153 1.2×	69	1.1k
Chitwan Saharia United States	6	838 0.8×	91 0.5×	247 1.5×	102 0.7×	169 1.3×	7	1.2k
François Lauze Denmark	15	467 0.4×	76 0.4×	37 0.2×	264 1.7×	198 1.5×	55	989
S. Z. Li China	5	655 0.6×	70 0.4×	198 1.2×	75 0.5×	210 1.6×	8	993
Alex Levinshtein Canada	9	802 0.8×	70 0.4×	309 1.9×	59 0.4×	76 0.6×	16	1.1k

Countries citing papers authored by F. Dibos

Since Specialization

Citations

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

Fields of papers citing papers by F. Dibos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Dibos

This figure shows the co-authorship network connecting the top 25 collaborators of F. Dibos. A scholar is included among the top collaborators of F. Dibos 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 F. Dibos. F. Dibos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Luong, Marie, et al.. (2011). Medical image denoising using Kernel Ridge Regression. 1597–1600. 11 indexed citations

2.

Dibos, F., et al.. (2005). Variational level set methods: from continuous to discrete setting, applications in video segmentation and tracking. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). I–273. 3 indexed citations

3.

Dibos, F.. (2002). Projective invariant multiscale analysis. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 1. 485–488.

4.

Dibos, F. & Georges Koepfler. (2002). Image denoising through a level set approach. 3. 264–268. 2 indexed citations

5.

Catté, Francine, F. Dibos, & Georges Koepfler. (2002). A morphological scheme for mean curvature motion and applications to anisotropic diffusion and motion of level sets. 1. 26–30. 4 indexed citations

6.

Catté, Francine, F. Dibos, & Georges Koepfler. (2002). A morphological scheme for mean curvature motion and applications to anisotropic diffusion and motion of level sets. 50. 156–158. 2 indexed citations

7.

Dibos, F.. (1998). Projective analysis of 2-D images. IEEE Transactions on Image Processing. 7(3). 274–279. 7 indexed citations

8.

Caselles, Vicent, et al.. (1993). A geometric model for active contours in image processing. Numerische Mathematik. 66(1). 1–31. 1223 indexed citations breakdown →

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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