Juan Abascal

970 total citations
42 papers, 712 citations indexed

About

Juan Abascal is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Juan Abascal has authored 42 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 26 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Juan Abascal's work include Advanced X-ray and CT Imaging (14 papers), Medical Imaging Techniques and Applications (12 papers) and Electrical and Bioimpedance Tomography (12 papers). Juan Abascal is often cited by papers focused on Advanced X-ray and CT Imaging (14 papers), Medical Imaging Techniques and Applications (12 papers) and Electrical and Bioimpedance Tomography (12 papers). Juan Abascal collaborates with scholars based in France, Spain and United Kingdom. Juan Abascal's co-authors include Manuel Desco, Manuchehr Soleimani, Simon Arridge, David Holder, Richard Bayford, J.J. Vaquero, Françoise Peyrin, Nicolas Ducros, Lior Horesh and Lorenzo Fabrizi and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Juan Abascal

41 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan Abascal France 16 368 328 295 104 100 42 712
N.G. Gençer Türkiye 15 265 0.7× 462 1.4× 219 0.7× 191 1.8× 143 1.4× 70 847
A. Gisolf Netherlands 12 183 0.5× 129 0.4× 148 0.5× 47 0.5× 250 2.5× 63 656
Jeong‐Rock Yoon South Korea 9 319 0.9× 482 1.5× 130 0.4× 253 2.4× 229 2.3× 18 737
Bryn Lloyd Switzerland 11 389 1.1× 170 0.5× 318 1.1× 40 0.4× 16 0.2× 23 899
Chunjae Park South Korea 11 185 0.5× 320 1.0× 85 0.3× 173 1.7× 108 1.1× 20 535
S.G. Azevedo United States 13 394 1.1× 122 0.4× 282 1.0× 54 0.5× 40 0.4× 58 678
Kan Okubo Japan 14 195 0.5× 231 0.7× 79 0.3× 123 1.2× 117 1.2× 121 697
Norio Tagawa Japan 12 259 0.7× 138 0.4× 216 0.7× 196 1.9× 21 0.2× 138 637
Kiwan Jeon South Korea 15 195 0.5× 169 0.5× 103 0.3× 59 0.6× 45 0.5× 39 467
Nuutti Hyvönen Finland 16 356 1.0× 618 1.9× 77 0.3× 221 2.1× 274 2.7× 66 823

Countries citing papers authored by Juan Abascal

Since Specialization
Citations

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

Fields of papers citing papers by Juan Abascal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Abascal

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Abascal. A scholar is included among the top collaborators of Juan Abascal 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 Juan Abascal. Juan Abascal 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.
Abascal, Juan, et al.. (2024). QUANTIFICATION OF CARTILAGE AND SUBCHONDRAL BONE CYSTS ON KNEE SPECIMENS BASED ON SPECTRAL PHOTON-COUNTING COMPUTED TOMOGRAPHY. Osteoarthritis and Cartilage. 32. S338–S338. 1 indexed citations
2.
Abascal, Juan, Salim Si‐Mohamed, Hang‐Korng Ea, et al.. (2023). Quantification of cartilage and subchondral bone cysts on knee specimens based on a spectral photon-counting computed tomography. Scientific Reports. 13(1). 11080–11080. 3 indexed citations
3.
Abascal, Juan, et al.. (2021). 3D denoised completion network for deep single-pixel reconstruction of hyperspectral images. Optics Express. 29(24). 39559–39559. 5 indexed citations
4.
Abascal, Juan, Nicolas Ducros, Simon Rit, et al.. (2021). Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach. IEEE Access. 9. 25632–25647. 3 indexed citations
5.
Chappard, Christine, et al.. (2020). Feasibility of spectral computed tomography to assess knee cartilage. Osteoarthritis and Cartilage. 28. S277–S278. 1 indexed citations
6.
Abascal, Juan, Salim Si‐Mohamed, P. Douek, Christine Chappard, & Françoise Peyrin. (2019). A sparse and prior based method for 3D image denoising. 1–5. 1 indexed citations
7.
Abascal, Juan, Nicolas Ducros, & Françoise Peyrin. (2018). Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance. Inverse Problems. 34(12). 124003–124003. 13 indexed citations
8.
Chnafa, Christophe, Simon Mendez, Franck Nicoud, et al.. (2017). Intraventricular vector flow mapping—a Doppler-based regularized problem with automatic model selection. Physics in Medicine and Biology. 62(17). 7131–7147. 25 indexed citations
9.
Abascal, Juan, et al.. (2016). A Novel Prior- and Motion-Based Compressed Sensing Method for Small-Animal Respiratory Gated CT. PLoS ONE. 11(3). e0149841–e0149841. 7 indexed citations
10.
Abascal, Juan, Mónica Abella, Alejandro Sisniega, J.J. Vaquero, & Manuel Desco. (2015). Investigation of Different Sparsity Transforms for the PICCS Algorithm in Small-Animal Respiratory Gated CT. PLoS ONE. 10(4). e0120140–e0120140. 7 indexed citations
11.
Abascal, Juan, et al.. (2015). Exploitation of temporal redundancy in compressed sensing reconstruction of fMRI studies with a prior‐based algorithm (PICCS). Medical Physics. 42(7). 3814–3821. 12 indexed citations
12.
13.
Chamorro-Servent, Judit, Juan Abascal, Juan Aguirre, et al.. (2013). Use of Split Bregman denoising for iterative reconstruction in fluorescence diffuse optical tomography. Journal of Biomedical Optics. 18(7). 76016–76016. 26 indexed citations
14.
Abascal, Juan, Juan Aguirre, Judit Chamorro-Servent, et al.. (2012). Influence of absorption and scattering on the quantification of fluorescence diffuse optical tomography using normalized data. Journal of Biomedical Optics. 17(3). 36013–36013. 14 indexed citations
15.
Abascal, Juan, Judit Chamorro-Servent, Juan Aguirre, et al.. (2011). Fluorescence diffuse optical tomography using the split Bregman method. Medical Physics. 38(11). 6275–6284. 53 indexed citations
16.
17.
Abascal, Juan, Simon Arridge, Richard Bayford, & David Holder. (2008). Comparison of methods for optimal choice of the regularization parameter for linear electrical impedance tomography of brain function. Physiological Measurement. 29(11). 1319–1334. 24 indexed citations
18.
Abascal, Juan, Simon Arridge, William Lionheart, Richard Bayford, & David Holder. (2007). Validation of a finite-element solution for electrical impedance tomography in an anisotropic medium. Physiological Measurement. 28(7). S129–S140. 18 indexed citations
19.
Fabrizi, Lorenzo, Matthew Sparkes, Lior Horesh, et al.. (2006). Factors limiting the application of electrical impedance tomography for identification of regional conductivity changes using scalp electrodes during epileptic seizures in humans. Physiological Measurement. 27(5). S163–S174. 61 indexed citations
20.
Abascal, Juan & William Lionheart. (2004). Rank analysis of the anisotropic inverse conductivity problem. MIMS EPrints (University of Southampton). 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by N.G. Gençer Breakdown of academic impact, for papers by A. Gisolf Breakdown of academic impact, for papers by Jeong‐Rock Yoon Breakdown of academic impact, for papers by Bryn Lloyd Breakdown of academic impact, for papers by Chunjae Park Breakdown of academic impact, for papers by S.G. Azevedo Breakdown of academic impact, for papers by Kan Okubo Breakdown of academic impact, for papers by Norio Tagawa Breakdown of academic impact, for papers by Kiwan Jeon Breakdown of academic impact, for papers by Nuutti Hyvönen
Rankless by CCL
2026