Pascal Cachier

972 total citations
8 papers, 381 citations indexed

About

Pascal Cachier is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pascal Cachier has authored 8 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pascal Cachier's work include Medical Image Segmentation Techniques (7 papers), Robotics and Sensor-Based Localization (4 papers) and 3D Shape Modeling and Analysis (3 papers). Pascal Cachier is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Robotics and Sensor-Based Localization (4 papers) and 3D Shape Modeling and Analysis (3 papers). Pascal Cachier collaborates with scholars based in France. Pascal Cachier's co-authors include Nicholas Ayache, Xavier Pennec, Éric Bardinet, Didier Dormont and Alexis Roche and has published in prestigious journals such as Pattern Recognition Letters, Computer Vision and Image Understanding and Journal of Mathematical Imaging and Vision.

In The Last Decade

Pascal Cachier

8 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pascal Cachier France	7	264	206	74	61	47	8	381
Manav Bhushan United Kingdom	3	415 1.6×	294 1.4×	135 1.8×	78 1.3×	45 1.0×	4	622
Rainer Sprengel Germany	7	254 1.0×	87 0.4×	75 1.0×	65 1.1×	13 0.3×	11	367
K. Rohr Germany	4	221 0.8×	77 0.4×	70 0.9×	61 1.0×	13 0.3×	6	309
Márta Fidrich Hungary	7	236 0.9×	148 0.7×	107 1.4×	25 0.4×	20 0.4×	15	457
Neculai Archip United States	11	205 0.8×	200 1.0×	146 2.0×	33 0.5×	20 0.4×	23	422
Outi Sipilä Finland	11	218 0.8×	377 1.8×	150 2.0×	21 0.3×	26 0.6×	26	587
Steven L. Hartmann United States	8	221 0.8×	191 0.9×	113 1.5×	23 0.4×	25 0.5×	13	523
Bartłomiej W. Papież United Kingdom	12	249 0.9×	258 1.3×	112 1.5×	26 0.4×	42 0.9×	38	458
Daniel B. Russakoff United States	14	351 1.3×	452 2.2×	163 2.2×	30 0.5×	69 1.5×	38	822
Peter Rogelj Slovenia	10	213 0.8×	283 1.4×	79 1.1×	35 0.6×	75 1.6×	35	555

Countries citing papers authored by Pascal Cachier

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Cachier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Cachier

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Cachier. A scholar is included among the top collaborators of Pascal Cachier 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 Pascal Cachier. Pascal Cachier 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.

Cachier, Pascal & Nicholas Ayache. (2004). Isotropic Energies, Filters and Splines for Vector Field Regularization. Journal of Mathematical Imaging and Vision. 20(3). 251–265. 40 indexed citations

2.

Cachier, Pascal, Éric Bardinet, Didier Dormont, Xavier Pennec, & Nicholas Ayache. (2003). Iconic feature based nonrigid registration: the PASHA algorithm. Computer Vision and Image Understanding. 89(2-3). 272–298. 176 indexed citations

3.

Cachier, Pascal & Xavier Pennec. (2002). 3D non-rigid registration by gradient descent on a Gaussian-windowed similarity measure using convolutions. HAL (Le Centre pour la Communication Scientifique Directe). 182–189. 36 indexed citations

4.

Pennec, Xavier, Pascal Cachier, & Nicholas Ayache. (2002). Tracking brain deformations in time sequences of 3D US images. Pattern Recognition Letters. 24(4-5). 801–813. 44 indexed citations

5.

Pennec, Xavier, Nicholas Ayache, Alexis Roche, & Pascal Cachier. (2002). Non-rigid MR/US registration for tracking brain deformations. HAL (Le Centre pour la Communication Scientifique Directe). 79–86. 15 indexed citations

6.

Cachier, Pascal & Nicholas Ayache. (2001). Regularization in Image Non-Rigid Registration: I. Trade-off between Smoothness and Intensity Similarity. OpenGrey (Institut de l'Information Scientifique et Technique). 8 indexed citations

7.

Cachier, Pascal & Nicholas Ayache. (2001). Regularization Methods in Non-Rigid Registration :II. Isotropic Energies, Filters and Splines. OpenGrey (Institut de l'Information Scientifique et Technique). 4 indexed citations

8.

Cachier, Pascal, Xavier Pennec, & Nicholas Ayache. (1999). Fast Non Rigid Matching by Gradient Descent: Study and Improvements of the "Demons" Algorithm. OpenGrey (Institut de l'Information Scientifique et Technique). 58 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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