J Vidal

1.2k total citations
40 papers, 832 citations indexed

About

J Vidal is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, J Vidal has authored 40 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in J Vidal's work include AI in cancer detection (12 papers), Digital Radiography and Breast Imaging (8 papers) and Advanced Data Compression Techniques (7 papers). J Vidal is often cited by papers focused on AI in cancer detection (12 papers), Digital Radiography and Breast Imaging (8 papers) and Advanced Data Compression Techniques (7 papers). J Vidal collaborates with scholars based in Spain, United States and France. J Vidal's co-authors include Pablo G. Tahoces, Miguel Souto, Arturo J. Méndez, Marı́a J. Lado, Manuel G. Penedo, Celia Varela, William A. Pearlman, C. González, Luis Héctor Hernández-Gómez and José M. Carreira and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

J Vidal

39 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Vidal Spain 13 475 395 319 232 106 40 832
M. Patricia Braeuning United States 12 291 0.6× 381 1.0× 283 0.9× 242 1.0× 161 1.5× 22 905
Noboru Niki Japan 19 298 0.6× 330 0.8× 879 2.8× 752 3.2× 42 0.4× 191 1.3k
Miguel Souto Spain 17 435 0.9× 430 1.1× 455 1.4× 328 1.4× 58 0.5× 58 1.0k
Lena Costaridou Greece 18 715 1.5× 506 1.3× 850 2.7× 380 1.6× 130 1.2× 86 1.5k
Qingling Sun China 7 248 0.5× 324 0.8× 213 0.7× 55 0.2× 144 1.4× 16 646
Joan Martı́ Spain 13 533 1.1× 446 1.1× 321 1.0× 143 0.6× 59 0.6× 43 798
N. K. Timofeeva Netherlands 4 717 1.5× 292 0.7× 471 1.5× 106 0.5× 39 0.4× 10 963
Kunio Doi United States 14 610 1.3× 272 0.7× 568 1.8× 302 1.3× 24 0.2× 16 939
Dimitris Glotsos Greece 16 424 0.9× 219 0.6× 321 1.0× 44 0.2× 30 0.3× 73 868
Donato Cascio Italy 15 259 0.5× 199 0.5× 323 1.0× 196 0.8× 73 0.7× 48 664

Countries citing papers authored by J Vidal

Since Specialization
Citations

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

Fields of papers citing papers by J Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of J Vidal. A scholar is included among the top collaborators of J Vidal 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 J Vidal. J Vidal 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.
Vidal, J, et al.. (2012). A fully automated approach to prostate biopsy segmentation based on level-set and mean filtering. Journal of Pathology Informatics. 2(2). 5–5. 9 indexed citations
2.
Redondo, Rafael, Gloria Bueno, Rodrigo Nava, et al.. (2012). Autofocus evaluation for brightfield microscopy pathology. Journal of Biomedical Optics. 17(3). 36008–36008. 53 indexed citations
3.
Redondo, Rafael, Gloria Bueno, Gabriel Cristóbal, et al.. (2011). Quality evaluation of microscopy and scanned histological images for diagnostic purposes. Micron. 43(2-3). 334–343. 20 indexed citations
4.
Tahoces, Pablo G., et al.. (2010). Semiautomatic quantification of left and right ventricular functions in magnetic resonance imaging. Computing in Cardiology. 37. 797–800. 2 indexed citations
5.
Souto, Miguel, et al.. (2008). Detección automática de nódulos pulmonares en tomografía computarizada. Un estudio preliminar. Radiología. 50(5). 387–392. 4 indexed citations
6.
Penedo, Manuel G., Marı́a J. Lado, Pablo G. Tahoces, Miguel Souto, & J Vidal. (2006). Effects of JPEG2000 Data Compression on an Automated System for Detecting Clustered Microcalcifications in Digital Mammograms. IEEE Transactions on Information Technology in Biomedicine. 10(2). 354–361. 9 indexed citations
7.
Varela, Celia, Pablo G. Tahoces, Arturo J. Méndez, Miguel Souto, & J Vidal. (2006). Computerized detection of breast masses in digitized mammograms. Computers in Biology and Medicine. 37(2). 214–226. 90 indexed citations
8.
Penedo, Manuel G., Miguel Souto, Pablo G. Tahoces, et al.. (2005). Free-Response Receiver Operating Characteristic Evaluation of Lossy JPEG2000 and Object-based Set Partitioning in Hierarchical Trees Compression of Digitized Mammograms. Radiology. 237(2). 450–457. 43 indexed citations
9.
Tahoces, Pablo G., et al.. (2002). A high resolution workstation prototype for diagnosis of digital mammograms. Computer Methods and Programs in Biomedicine. 71(3). 243–259. 1 indexed citations
10.
Lado, Marı́a J., Pablo G. Tahoces, Arturo J. Méndez, Miguel Souto, & J Vidal. (1999). A wavelet‐based algorithm for detecting clustered microcalcifications in digital mammograms. Medical Physics. 26(7). 1294–1305. 40 indexed citations
11.
Prada, Carlos E., et al.. (1999). Cryopreserved Arterial Homografts: Preliminary Results in Infrageniculate Arterial Reconstructions. Annals of Vascular Surgery. 13(3). 261–267. 7 indexed citations
12.
Méndez, Arturo J., Pablo G. Tahoces, Marı́a J. Lado, Miguel Souto, & J Vidal. (1998). Computer‐aided diagnosis: Automatic detection of malignant masses in digitized mammograms. Medical Physics. 25(6). 957–964. 97 indexed citations
13.
Carreira, José M., et al.. (1998). Automatic calculation of total lung capacity from automatically traced lung boundaries in postero-anterior and lateral digital chest radiographs. Medical Physics. 25(7). 1118–1131. 33 indexed citations
14.
Lado, Marı́a J., Pablo G. Tahoces, Miguel Souto, Arturo J. Méndez, & J Vidal. (1997). Real and simulated clustered microcalcifications in digital mammograms. ROC study of observer performance. Medical Physics. 24(9). 1385–1394. 15 indexed citations
15.
Souto, Miguel, Pablo G. Tahoces, Arturo J. Méndez, et al.. (1996). A limited PACS dedicated to a research environment. Nine years' experience in Santiago de Compostela. Medical Informatics. 21(2). 123–132. 5 indexed citations
16.
Méndez, Arturo J., et al.. (1996). Automatic detection of breast border and nipple in digital mammograms. Computer Methods and Programs in Biomedicine. 49(3). 253–262. 101 indexed citations
17.
Tahoces, Pablo G., et al.. (1995). Computer-assisted diagnosis: the classification of mammographic breast parenchymal patterns.. Physics in Medicine and Biology. 40(1). 103–117. 49 indexed citations
18.
Souto, Miguel, Pablo G. Tahoces, Douglas M. Tucker, et al.. (1992). Enhancement of chest images by automatic adaptive spatial filtering. Journal of Digital Imaging. 5(4). 223–229. 10 indexed citations
19.
Tahoces, Pablo G., et al.. (1991). Enhancement of chest and breast radiographs by automatic spatial filtering. IEEE Transactions on Medical Imaging. 10(3). 330–335. 60 indexed citations
20.
Vidal, J, et al.. (1973). [Standardization of a prosthesis of the entire upper extremity of the femur: technic of utilization and indications].. PubMed. 59. Suppl 1:248–52. 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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