Vincent Barra

2.6k total citations
85 papers, 1.8k citations indexed

About

Vincent Barra is a scholar working on Computer Vision and Pattern Recognition, Oncology and Artificial Intelligence. According to data from OpenAlex, Vincent Barra has authored 85 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 15 papers in Oncology and 15 papers in Artificial Intelligence. Recurrent topics in Vincent Barra's work include Metal complexes synthesis and properties (15 papers), Medical Image Segmentation Techniques (12 papers) and Image Retrieval and Classification Techniques (7 papers). Vincent Barra is often cited by papers focused on Metal complexes synthesis and properties (15 papers), Medical Image Segmentation Techniques (12 papers) and Image Retrieval and Classification Techniques (7 papers). Vincent Barra collaborates with scholars based in France, Brazil and United States. Vincent Barra's co-authors include Jean‐Yves Boire, J.-Y. Boire, Silvia Biasotti, Imed Riadh Farah, Ali Ben Abbes, Frederick Klauschen, Andreas Meyer‐Lindenberg, Aaron L. Goldman, Arvid Lundervold and Adelino V.G. Netto and has published in prestigious journals such as Bioinformatics, NeuroImage and Journal of Computational Physics.

In The Last Decade

Vincent Barra

83 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Barra France 24 388 215 214 204 169 85 1.8k
Yiping Chen China 35 661 1.7× 50 0.2× 57 0.3× 93 0.5× 185 1.1× 292 4.4k
David J. Robertson United Kingdom 26 293 0.8× 38 0.2× 79 0.4× 56 0.3× 166 1.0× 151 2.8k
Hong Peng China 29 222 0.6× 29 0.1× 265 1.2× 32 0.2× 382 2.3× 143 2.9k
Arthur E. Burgess United States 25 209 0.5× 77 0.4× 997 4.7× 81 0.4× 329 1.9× 59 3.2k
Markus Weber Switzerland 37 183 0.5× 46 0.2× 82 0.4× 66 0.3× 88 0.5× 134 4.9k
Hideaki Hayashi Japan 22 275 0.7× 32 0.1× 128 0.6× 111 0.5× 223 1.3× 118 1.7k
Haiying Liu China 18 211 0.5× 24 0.1× 152 0.7× 23 0.1× 37 0.2× 87 1.6k
Linna Zhang China 26 200 0.5× 219 1.0× 56 0.3× 60 0.3× 216 1.3× 183 2.9k
Ian L. Dryden United Kingdom 27 399 1.0× 36 0.2× 210 1.0× 8 0.0× 368 2.2× 109 2.4k
Peng Zhang China 28 152 0.4× 81 0.4× 347 1.6× 10 0.0× 181 1.1× 173 2.7k

Countries citing papers authored by Vincent Barra

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Barra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Barra

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

All Works

20 of 20 papers shown
1.
Delouille, Véronique, et al.. (2024). An Experimental Study on EUV‐To‐Magnetogram Image Translation Using Conditional Generative Adversarial Networks. Earth and Space Science. 11(4). 1 indexed citations
2.
Dequidt, Alain, et al.. (2024). ML-GLE: A machine learning enhanced Generalized Langevin equation framework for transient anomalous diffusion in polymer dynamics. Journal of Computational Physics. 514. 113210–113210. 1 indexed citations
3.
Abbes, Ali Ben, et al.. (2023). Multi-attention Generative Adversarial Network for multi-step vegetation indices forecasting using multivariate time series. Engineering Applications of Artificial Intelligence. 128. 107563–107563. 11 indexed citations
4.
Barra, Vincent, et al.. (2023). Digital Image Processing with C++. 1 indexed citations
5.
Bäına, Karim, et al.. (2023). Real-World Case Study of a Deep Learning Enhanced Elderly Person Fall Video-Detection System. 575–582. 2 indexed citations
6.
Barra, Vincent, et al.. (2022). Top-Down System for Multi-Person 3D Absolute Pose Estimation from Monocular Videos. Sensors. 22(11). 4109–4109. 10 indexed citations
7.
Jessop, David, et al.. (2018). An algorithm for the detection and characterisation of volcanic plumes using thermal camera imagery. Journal of Volcanology and Geothermal Research. 352. 26–37. 25 indexed citations
8.
Spatola, Nicolas, Clément Belletier, Pierre Chaussé, et al.. (2018). Not as bad as it seems: When the presence of a threatening humanoid robot improves human performance. Science Robotics. 3(21). 35 indexed citations
9.
Château, Thierry, et al.. (2012). Markov Chain Monte Carlo Modular Ensemble Tracking. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
10.
Acosta, Oscar, Jürgen Fripp, Vincent Doré, et al.. (2011). Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease. Journal of Neuroscience Methods. 205(1). 96–109. 13 indexed citations
11.
Acosta, Oscar, et al.. (2010). A combined voxel and surface based method for topology correction of brain surfaces. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 76234T–76234T. 1 indexed citations
12.
Klauschen, Frederick, Aaron L. Goldman, Vincent Barra, Andreas Meyer‐Lindenberg, & Arvid Lundervold. (2008). Evaluation of automated brain MR image segmentation and volumetry methods. Human Brain Mapping. 30(4). 1310–1327. 171 indexed citations
13.
Silva, Heveline, Vincent Barra, Mauro V. de Almeida, et al.. (2008). Impact of the carbon chain length of novel platinum complexes derived from N-alkyl-propanediamines on their cytotoxic activity and cellular uptake. Journal of Inorganic Biochemistry. 102(4). 767–772. 26 indexed citations
14.
Delouille, Véronique, Vincent Barra, & J.‐F. Hochedez. (2007). Segmentation of SoHO/EIT Images using fuzzy clustering algorithms. AGUFM. 2007. 2 indexed citations
15.
Barra, Vincent, Véronique Delouille, & J.‐F. Hochedez. (2007). Segmentation of Extreme Ultraviolet Solar Images using a Multispectral Data Fusion Process. Proceedings of ... IEEE International Conference on Fuzzy Systems. 205. 1–6. 3 indexed citations
16.
Barra, Vincent. (2006). Robust segmentation and analysis of DNA microarray spots using an adaptative split and merge algorithm. Computer Methods and Programs in Biomedicine. 81(2). 174–180. 14 indexed citations
17.
Barra, Vincent, et al.. (2005). Synthesis of a Functional Information with Anatomical Landmarks by Multiresolution Fusion of Brain Images. PubMed. 2005. 6547–6550. 7 indexed citations
18.
Barra, Vincent, et al.. (2005). Transcranial Magnetic Stimulation : Magnetic Field Computation in empty free space. PubMed. 2005. 4365–4368. 6 indexed citations
19.
Barra, Vincent, et al.. (2002). Automatic volumetric measurement of lateral ventricles on magnetic resonance images with correction of partial volume effects. Journal of Magnetic Resonance Imaging. 15(1). 16–22. 11 indexed citations
20.
Barra, Vincent & Jean‐Yves Boire. (2001). A General Framework for the Fusion of Anatomical and Functional Medical Images. NeuroImage. 13(3). 410–424. 86 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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