Robert Azencott

2.2k total citations
76 papers, 1.1k citations indexed

About

Robert Azencott is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Robert Azencott has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Molecular Biology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Robert Azencott's work include Medical Image Segmentation Techniques (14 papers), Image and Signal Denoising Methods (8 papers) and Medical Imaging Techniques and Applications (7 papers). Robert Azencott is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Image and Signal Denoising Methods (8 papers) and Medical Imaging Techniques and Applications (7 papers). Robert Azencott collaborates with scholars based in United States, France and China. Robert Azencott's co-authors include Edward N. Wilson, Laurent Younès, Jia-Ping Wang, Mathilde Mougeot, Didier Dacunha‐Castelle, Bernard Angéniol, Gabriel Ruget, Ilya Timofeyev, Yves Guivarc’h and Yves Courtois and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Robert Azencott

70 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Azencott United States 17 244 214 210 198 132 76 1.1k
Mark A. Pinsky United States 24 477 2.0× 58 0.3× 536 2.6× 126 0.6× 75 0.6× 126 1.6k
Dejan Slepčev United States 19 380 1.6× 157 0.7× 162 0.8× 70 0.4× 159 1.2× 43 1.3k
Henry Hermes United States 21 343 1.4× 168 0.8× 159 0.8× 504 2.5× 86 0.7× 49 2.6k
Michele Pavon Italy 22 192 0.8× 98 0.5× 90 0.4× 55 0.3× 287 2.2× 86 1.5k
Harold R. Parks United States 12 431 1.8× 71 0.3× 295 1.4× 260 1.3× 100 0.8× 37 1.3k
N. N. Krasovskiĭ Russia 17 329 1.3× 56 0.3× 115 0.5× 181 0.9× 133 1.0× 84 2.4k
Italo Capuzzo-Dolcetta Italy 8 743 3.0× 84 0.4× 257 1.2× 140 0.7× 88 0.7× 11 2.5k
Arne Jensen Denmark 21 230 0.9× 116 0.5× 1.1k 5.1× 22 0.1× 117 0.9× 76 1.9k
Oliver Junge Germany 20 35 0.1× 78 0.4× 197 0.9× 61 0.3× 75 0.6× 52 1.5k
David E. Tyler United States 26 170 0.7× 204 1.0× 24 0.1× 92 0.5× 483 3.7× 63 2.6k

Countries citing papers authored by Robert Azencott

Since Specialization
Citations

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

Fields of papers citing papers by Robert Azencott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Azencott

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Azencott. A scholar is included among the top collaborators of Robert Azencott 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 Robert Azencott. Robert Azencott 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.
2.
Mang, Andreas, Jiwen He, & Robert Azencott. (2023). An operator-splitting approach for variational optimal control formulations for diffeomorphic shape matching. Journal of Computational Physics. 493. 112463–112463.
3.
Azencott, Robert, Jiwen He, Jiaqiong Xu, et al.. (2021). Valve Strain Quantitation in Normal Mitral Valves and Mitral Prolapse With Variable Degrees of Regurgitation. JACC. Cardiovascular imaging. 14(6). 1099–1109. 16 indexed citations
4.
Zhang, Peng, et al.. (2019). QUANTITATION OF MITRAL VALVE STRAIN IN NORMALS AND IN PATIENTS WITH MITRAL VALVE PROLAPSE. Journal of the American College of Cardiology. 73(9). 1953–1953. 2 indexed citations
5.
Zhang, Wei, et al.. (2018). Mutual Information Better Quantifies Brain Network Architecture in Children with Epilepsy. Computational and Mathematical Methods in Medicine. 2018. 1–9. 13 indexed citations
6.
Moss, Tyler J., Elena G. Seviour, Vasudha Sehgal, et al.. (2015). Genome-wide perturbations by miRNAs map onto functional cellular pathways, identifying regulators of chromatin modifiers. npj Systems Biology and Applications. 1(1). 15001–15001. 5 indexed citations
7.
Zekry, Sagit Ben, Sonia Jain, Yongkuan Li, et al.. (2015). Novel parameters of global and regional mitral annulus geometry in man: comparison between normals and organic mitral regurgitation, before and after mitral valve repair. European Heart Journal - Cardiovascular Imaging. 17(4). 447–457. 11 indexed citations
8.
9.
Iadevaia, Sergio, Luay Nakhleh, Robert Azencott, & Prahlad T. Ram. (2014). Mapping Network Motif Tunability and Robustness in the Design of Synthetic Signaling Circuits. PLoS ONE. 9(3). e91743–e91743. 4 indexed citations
10.
Jain, Saurabh, Manos Papadakis, Sanjay Upadhyay, & Robert Azencott. (2012). Rigid-Motion-Invariant Classification of 3-D Textures. IEEE Transactions on Image Processing. 21(5). 2449–2463. 10 indexed citations
11.
Zhang, Wei Emma, et al.. (2011). Estimation of the rate and effect of new beneficial mutations in asexual populations. Theoretical Population Biology. 81(2). 168–178. 13 indexed citations
12.
Xu, Xuping, Peili Gu, David M. Lonard, et al.. (2011). miRNA Regulatory Circuits in ES Cells Differentiation: A Chemical Kinetics Modeling Approach. PLoS ONE. 6(10). e23263–e23263. 4 indexed citations
13.
Mougeot, Mathilde & Robert Azencott. (2011). Traffic safety: non-linear causation for injury severity. WIT transactions on the built environment. 1. 241–251. 1 indexed citations
14.
Azencott, Robert, Roland Glowinski, Jiwen He, et al.. (2010). Diffeomorphic Matching and Dynamic Deformable Surfaces in 3d Medical Imaging. Computational Methods in Applied Mathematics. 10(3). 235–274. 13 indexed citations
15.
Azencott, Robert, Roland Glowinski, & Ángel Ramos. (2008). A controllability approach to shape identification. Applied Mathematics Letters. 21(8). 861–865. 5 indexed citations
16.
Azencott, Robert. (1992). Simulated annealing : parallelization techniques. Wiley eBooks. 126 indexed citations
17.
Azencott, Robert. (1985). Une approche probabiliste du théorème de l'indice (Atiyah-Singer). French digital mathematics library (Numdam). 27. 7–18. 4 indexed citations
18.
Azencott, Robert & Didier Dacunha‐Castelle. (1984). Séries d'observations irrégulières : modélisation et prévision. Masson eBooks. 10 indexed citations
19.
Azencott, Robert & Didier Dacunha‐Castelle. (1984). Séries d'observations irrégulières. 11 indexed citations
20.
Azencott, Robert & William Parry. (1972). Stability of group representations and Haar spectrum. Transactions of the American Mathematical Society. 172. 317–317. 2 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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