Vicente Grau

6.8k total citations · 2 hit papers
144 papers, 3.5k citations indexed

About

Vicente Grau is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vicente Grau has authored 144 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Radiology, Nuclear Medicine and Imaging, 48 papers in Cardiology and Cardiovascular Medicine and 46 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vicente Grau's work include Medical Image Segmentation Techniques (38 papers), Advanced MRI Techniques and Applications (34 papers) and Cardiovascular Function and Risk Factors (23 papers). Vicente Grau is often cited by papers focused on Medical Image Segmentation Techniques (38 papers), Advanced MRI Techniques and Applications (34 papers) and Cardiovascular Function and Risk Factors (23 papers). Vicente Grau collaborates with scholars based in United Kingdom, Spain and United States. Vicente Grau's co-authors include Mariano Alcañíz, Ron Kikinis, Simon K. Warfield, Andrea U. J. Mewes, J. Alison Noble, David J. Gavaghan, Peter Köhl, Blanca Rodríguez, Jürgen E. Schneider and Harald Becher and has published in prestigious journals such as Circulation, Bioinformatics and PLoS ONE.

In The Last Decade

Vicente Grau

138 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improved Watershed Transform for Medical Image Segmentation Using Prior Information

2004 517 citations Vicente Grau, Mariano Alcañíz et al. IEEE Transactions on Medical Imaging profile →
Segment anything model for medical images?

2023 215 citations Lei Li, Vicente Grau et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vicente Grau United Kingdom	30	1.2k	1.0k	943	669	314	144	3.5k
Elsa D. Angelini France	24	1.3k 1.0×	359 0.3×	1.1k 1.2×	628 0.9×	79 0.3×	166	3.1k
Marios S. Pattichis United States	28	969 0.8×	375 0.4×	1.6k 1.7×	464 0.7×	60 0.2×	239	3.4k
Óscar Cámara Spain	28	1.1k 0.9×	1.4k 1.4×	606 0.6×	497 0.7×	75 0.2×	154	3.0k
Lucas J. van Vliet Netherlands	39	1.2k 0.9×	203 0.2×	1.9k 2.0×	939 1.4×	430 1.4×	249	5.2k
Wenjia Bai United Kingdom	26	1.3k 1.0×	801 0.8×	1.1k 1.2×	534 0.8×	115 0.4×	91	2.9k
Jean-Louis Coatrieux France	30	1.3k 1.1×	238 0.2×	1.9k 2.0×	1.1k 1.6×	155 0.5×	196	3.7k
Bernhard Kainz United Kingdom	24	1.5k 1.2×	326 0.3×	1.5k 1.6×	521 0.8×	76 0.2×	91	4.0k
Boudewijn P. F. Lelieveldt Netherlands	40	2.0k 1.6×	1.1k 1.0×	1.9k 2.0×	980 1.5×	1.1k 3.6×	216	6.4k
Julia A. Schnabel United Kingdom	31	2.6k 2.1×	253 0.2×	2.1k 2.2×	1.0k 1.5×	125 0.4×	188	4.8k
Laurent D. Cohen France	26	996 0.8×	178 0.2×	3.7k 3.9×	482 0.7×	111 0.4×	100	4.9k

Countries citing papers authored by Vicente Grau

Since Specialization

Citations

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

Fields of papers citing papers by Vicente Grau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vicente Grau

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

All Works

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20 of 20 papers shown

Zhang, Xiao, et al.. (2025). From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging. 45(3). 1051–1061. 5 indexed citations

Grau, Vicente, et al.. (2024). Assessing the accuracy of human-inspired electronic skin: A systematic review. Biosensors and Bioelectronics X. 22. 100553–100553.

Beetz, Marcel, et al.. (2024). Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders. 1–5.

Camps, Julià, Zhinuo Jenny Wang, Rafael Sebastián, et al.. (2024). Digital twinning of the human ventricular activation sequence to Clinical 12-lead ECGs and magnetic resonance imaging using realistic Purkinje networks for in silico clinical trials. Medical Image Analysis. 94. 103108–103108. 24 indexed citations

Beetz, Marcel, Yilong Yang, Abhirup Banerjee, Lei Li, & Vicente Grau. (2023). 3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks. PubMed. 2023. 1–4. 3 indexed citations

Biasiolli, Luca, Elena Lukaschuk, Valentina Carapella, et al.. (2019). Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data. PLoS ONE. 14(2). e0212272–e0212272. 24 indexed citations

Levrero-Florencio, Francesc, Francesca Margara, Ernesto Zacur, et al.. (2019). Sensitivity analysis of a strongly-coupled human-based electromechanical cardiac model: Effect of mechanical parameters on physiologically relevant biomarkers. Computer Methods in Applied Mechanics and Engineering. 361. 112762–112762. 46 indexed citations

Irving, Benjamin, Boštjan Markelc, Jakob Kaeppler, et al.. (2017). Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks. arXiv (Cornell University). 1 indexed citations

Irving, Benjamin, et al.. (2017). Myocardial scar quantification using SLIC supervoxels - parcellation based on tissue characteristic strains. Lecture notes in computer science. 182–190. 1 indexed citations

10.

Bueno‐Orovio, Alfonso, David Kay, Vicente Grau, Blanca Rodríguez, & Kevin Burrage. (2014). Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization. Journal of The Royal Society Interface. 11(97). 20140352–20140352. 149 indexed citations

11.

Maesen, Bart, Carlos Afonso, Rebecca A.B. Burton, et al.. (2014). Degree of fatty infiltration contributes to complexity of the substrate for atrial fibrillation in goat left atria. European Heart Journal. 35. 1119–1119. 1 indexed citations

12.

Kay, David, et al.. (2014). A poroelastic model of the lung. arXiv (Cornell University). 1 indexed citations

13.

Siedlecka, Urszula, et al.. (2013). Block-face imaging of wax-embedded tissue as a modality to aid three-dimensional histological reconstruction of the heart. Proceedings of The Physiological Society. 1 indexed citations

14.

Szmigielski, Cezary, Kashif Rajpoot, Vicente Grau, et al.. (2011). Real-time 3D fusion echocardiography (JACC: Cardiovascular Imaging (2010) 3, (682-690)). JACC. Cardiovascular imaging. 4. 314. 2 indexed citations

15.

Burton, Rebecca A.B., et al.. (2010). Towards high-resolution cardiac atlases: Ventricular anatomy descriptors for a standardized reference frame. Lecture notes in computer science. 75–84.

16.

Burton, Rebecca A.B., T. Alexander Quinn, Christian Bollensdorff, et al.. (2010). Cardiac valve annulus manual segmentation using computer assisted visual feedback in three-dimensional image data. PubMed. 2010. 738–741. 3 indexed citations

17.

Bishop, Martin J., Rebecca A.B. Burton, Peter Köhl, et al.. (2009). The role of blood vessels in rabbit propagation dynamics and cardiac arrhythmias. Lecture notes in computer science. 5528. 268–276. 2 indexed citations

18.

Rodríguez, Blanca, et al.. (2008). High performance computer simulations of cardiac electrical function based on high resolution MRI datasets. Lecture notes in computer science. 571–580. 5 indexed citations

19.

Downs, J. Crawford, et al.. (2004). Micro Finite Element Modeling of the Lamina Cribrosa in Monkey Eyes. Investigative Ophthalmology & Visual Science. 45(13). 2157–2157. 3 indexed citations

20.

Grau, Vicente, Mariano Alcañíz, M.‐Carmen Juan, C. Monserrat, & Christian Knoll. (2001). Automatic localization of cephalometric landmarks. Computers and Biomedical Research. 34(3). 146–156. 55 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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