Pascal Cachier

980 citations
14 papers · 792 · h-index 10

Impact in

Papers in

Pascal Cachier

14 papers receiving 750 citations

Peers

Pascal Cachier
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 557
  • Radiology, Nuclear Medicine and Imaging 353
  • Computational Mathematics 7
  • Radiation 73
  • Biophysics 36
Replace Stane Kovačič with:
Stane Kovačič Slovenia
Manav Bhushan United Kingdom
Tahreema Matin United Kingdom
Alexandre Guimond United States
Claus Gramkow Denmark
Boklye Kim United States
Daniel B. Russakoff United States
Gerardo Hermosillo United States
S. Prima France
Didier Lemoine France
Pascal Cachier relative to Stane Kovačič Slovenia Stane Kovačič's profile →
Citations per field
00.5×2×2.8×
Stane Kovačič · 1×
Citations per year

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-authors

The 10 scholars most cited alongside Pascal Cachier, 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 Pascal Cachier Line = papers co-authored together Pascal Cachier links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003209
2 1999180
3 200074
4 200170
5
Fast Non Rigid Matching by Gradient Descent: Study and Improvements of the "Demons" Algorithm
199965
6 200450
7 200250
8 200249
9 200217
10
Regularization in Image Non-Rigid Registration: I. Trade-off between Smoothness and Intensity Similarity
200112
11 20016
12 20015
13
Regularization Methods in Non-Rigid Registration :II. Isotropic Energies, Filters and Splines
20014
14
Fusing 3-D ultrasound and MRI for real-time image-guided neurosurgery
20011

About Pascal Cachier

Pascal Cachier is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering, Computational Mechanics and Computational Mathematics, having authored 14 papers that have together received 792 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Robotics and Sensor-Based Localization (7 papers), 3D Shape Modeling and Analysis (3 papers), Advanced Vision and Imaging (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Medical Imaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (557 citations), Radiology, Nuclear Medicine and Imaging (353 citations), Computational Mathematics (7 citations), Radiation (73 citations) and Biophysics (36 citations). Pascal Cachier has collaborated with scholars based in France. Frequent co-authors include Nicholas Ayache, Xavier Pennec, Didier Dormont, Éric Bardinet, David Rey, Jean‐François Mangin, Jean Marie Régis, Denis Rivière, Dimitri Papadopoulos Orfanos and Alexis Roche. Their work appears in journals such as Pattern Recognition Letters, Computer Vision and Image Understanding, Journal of Mathematical Imaging and Vision, Lecture notes in computer science and HAL (Le Centre pour la Communication Scientifique Directe).

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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