Matthieu Jomier

1.4k total citations · 1 hit paper
11 papers, 763 citations indexed

About

Matthieu Jomier is a scholar working on Radiology, Nuclear Medicine and Imaging, Dermatology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthieu Jomier has authored 11 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Dermatology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthieu Jomier's work include Advanced Neuroimaging Techniques and Applications (4 papers), Cell Image Analysis Techniques (3 papers) and Morphological variations and asymmetry (2 papers). Matthieu Jomier is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (4 papers), Cell Image Analysis Techniques (3 papers) and Morphological variations and asymmetry (2 papers). Matthieu Jomier collaborates with scholars based in United States and France. Matthieu Jomier's co-authors include Guido Gerig, Sarang Joshi, Brad Davis, Carissa J. Cascio, Rachel G. Smith, Martin Styner, Katell Vié, Joseph Piven, Alex Nkengne and Heather C. Hazlett and has published in prestigious journals such as NeuroImage, American Journal of Psychiatry and Journal of Intellectual Disability Research.

In The Last Decade

Matthieu Jomier

11 papers receiving 733 citations

Hit Papers

Unbiased diffeomorphic atlas construction for computation... 2004 2026 2011 2018 2004 200 400 600

Peers

Matthieu Jomier
Maryam E. Rettmann United States
Marc Vaillant United States
Kanwal K. Bhatia United Kingdom
Dinggang Shen United States
Kirt Schaper United States
Matthieu Jomier
Citations per year, relative to Matthieu Jomier Matthieu Jomier (= 1×) peers Alexandre Guimond

Countries citing papers authored by Matthieu Jomier

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Jomier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Jomier

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

All Works

11 of 11 papers shown
1.
Jomier, Matthieu, et al.. (2022). Evaluation of a new connected portable camera for the analysis of skin microrelief and the assessment of the effect of skin moisturisers. Skin Research and Technology. 29(1). e13190–e13190. 7 indexed citations
3.
Hébert, Mathieu, et al.. (2016). Model-based Skin Pigment Cartography by High-Resolution Hyperspectral Imaging. Journal of Imaging Science and Technology. 60(6). 60404–1. 7 indexed citations
4.
Jomier, Matthieu, et al.. (2015). Identification of new morphological differences between Chinese and Caucasian faces and influence of BMI on these characteristics. Skin Research and Technology. 22(2). 137–147. 6 indexed citations
5.
Cascio, Carissa J., Sylvain Gouttard, Rachel G. Smith, et al.. (2012). Fractional anisotropy distributions in 2‐ to 6‐year‐old children with autism. Journal of Intellectual Disability Research. 57(11). 1037–1049. 17 indexed citations
6.
Cascio, Carissa J., Martin Styner, Rachel G. Smith, et al.. (2006). Reduced Relationship to Cortical White Matter Volume Revealed by Tractography-Based Segmentation of the Corpus Callosum in Young Children With Developmental Delay. American Journal of Psychiatry. 163(12). 2157–2163. 22 indexed citations
7.
Gerig, Guido, Bradley Moore Davis, Peter Lorenzen, et al.. (2006). Computational Anatomy to Assess Longitudinal Trajectory of Brain Growth. 95. 1041–1047. 17 indexed citations
8.
Styner, Martin, Matthieu Jomier, & Guido Gerig. (2006). Closed and Open Source Neuroimage Analysis Tools and Libraries at UNC. 702–705. 5 indexed citations
9.
Styner, Martin, İpek Oğuz, Rachel G. Smith, Carissa J. Cascio, & Matthieu Jomier. (2005). Corpus Callosum Subdivision Based on a Probabilistic Model of Inter-hemispheric Connectivity. Lecture notes in computer science. 8(Pt 2). 765–772. 19 indexed citations
10.
Goodlett, Casey, Isabelle Corouge, Matthieu Jomier, & Guido Gerig. (2005). A Quantitative DTI Fiber Tract Analysis Suite. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
11.
Joshi, Sarang, Brad Davis, Matthieu Jomier, & Guido Gerig. (2004). Unbiased diffeomorphic atlas construction for computational anatomy. NeuroImage. 23. S151–S160. 624 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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