Marc Vaillant

1.4k total citations
10 papers, 854 citations indexed

About

Marc Vaillant is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Geometry and Topology. According to data from OpenAlex, Marc Vaillant has authored 10 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Geometry and Topology. Recurrent topics in Marc Vaillant's work include Advanced Neuroimaging Techniques and Applications (4 papers), Morphological variations and asymmetry (3 papers) and Medical Image Segmentation Techniques (3 papers). Marc Vaillant is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (4 papers), Morphological variations and asymmetry (3 papers) and Medical Image Segmentation Techniques (3 papers). Marc Vaillant collaborates with scholars based in United States and France. Marc Vaillant's co-authors include Joan Glaunès, Christos Davatzikos, Michael I. Miller, Jerry L. Prince, R. Nick Bryan, Stanley Letovsky, Susan M. Resnick, Anqi Qiu, Andréia V. Faria and Yue Li and has published in prestigious journals such as NeuroImage, Human Brain Mapping and Medical Image Analysis.

In The Last Decade

Marc Vaillant

10 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc Vaillant United States	7	346	300	249	192	124	10	854
Joan Glaunès France	12	243 0.7×	372 1.2×	125 0.5×	207 1.1×	59 0.5×	20	835
Dimitri Papadopoulos Orfanos France	11	425 1.2×	224 0.7×	463 1.9×	98 0.5×	83 0.7×	15	891
Matthieu Jomier United States	8	351 1.0×	374 1.2×	120 0.5×	91 0.5×	33 0.3×	11	763
Maryam E. Rettmann United States	15	470 1.4×	444 1.5×	278 1.1×	63 0.3×	46 0.4×	61	1.1k
Sylvain Prima France	16	410 1.2×	412 1.4×	182 0.7×	68 0.4×	38 0.3×	43	966
Kelly Rehm United States	20	472 1.4×	333 1.1×	348 1.4×	23 0.1×	94 0.8×	32	1.1k
S. Holte Sweden	11	525 1.5×	136 0.5×	330 1.3×	33 0.2×	106 0.9×	13	1.1k
Matías Nicolás Bossa Spain	13	170 0.5×	151 0.5×	78 0.3×	41 0.2×	112 0.9×	29	547
Can Ceritoglu United States	21	849 2.5×	209 0.7×	539 2.2×	58 0.3×	291 2.3×	41	1.7k
Craig R. Schwartz United States	8	220 0.6×	119 0.4×	247 1.0×	72 0.4×	55 0.4×	20	555

Countries citing papers authored by Marc Vaillant

Since Specialization

Citations

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

Fields of papers citing papers by Marc Vaillant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Vaillant

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

All Works

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10 of 10 papers shown

Lee, Noah, et al.. (2023). Robust Fine-Tuning of Vision-Language Models for Domain Generalization. 1–7. 1 indexed citations

Vaillant, Marc, et al.. (2023). Vision-Based Treatment Localization with Limited Data: Automated Documentation of Military Emergency Medical Procedures. 1811–1820. 2 indexed citations

Padhy, Shreyas, Marc Vaillant, J. Tilak Ratnanather, et al.. (2019). Using deep Siamese neural networks for detection of brain asymmetries associated with Alzheimer's Disease and Mild Cognitive Impairment. Magnetic Resonance Imaging. 64. 190–199. 48 indexed citations

Mori, Susumu, Dan Wu, Can Ceritoglu, et al.. (2016). MRICloud: Delivering High-Throughput MRI Neuroinformatics as Cloud-Based Software as a Service. Computing in Science & Engineering. 18(5). 21–35. 163 indexed citations

Qiu, Anqi, Marc Vaillant, Patrick E. Barta, J. Tilak Ratnanather, & Michael I. Miller. (2007). Region‐of‐interest‐based analysis with application of cortical thickness variation of left planum temporale in schizophrenia and psychotic bipolar disorder. Human Brain Mapping. 29(8). 973–985. 39 indexed citations

Vaillant, Marc, Anqi Qiu, Joan Glaunès, & Michael I. Miller. (2006). Diffeomorphic metric surface mapping in subregion of the superior temporal gyrus. NeuroImage. 34(3). 1149–1159. 65 indexed citations

Vaillant, Marc & Joan Glaunès. (2005). Surface Matching via Currents. Lecture notes in computer science. 19. 381–392. 236 indexed citations

Vaillant, Marc & Christos Davatzikos. (1997). Finding parametric representations of the cortical sulci using an active contour model. Medical Image Analysis. 1(4). 295–315. 56 indexed citations

Davatzikos, Christos, Marc Vaillant, Susan M. Resnick, et al.. (1996). A Computerized Approach for Morphological Analysis of the Corpus Callosum. Journal of Computer Assisted Tomography. 20(1). 88–97. 243 indexed citations

10.

Vaillant, Marc, et al.. (1988). L'année de la mode, 88-89. 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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