Joan C. Vilanova

6.0k citations
143 papers · 3.6k indexed · h-index 34

Impact in

Papers in

Joan C. Vilanova

133 papers receiving 3.5k citations

Peers

Joan C. Vilanova
Comparison fields: 5 of 152
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Computer Vision and Pattern Recognition 869
  • Neurology 334
  • Rheumatology 570
  • Pulmonary and Respiratory Medicine 935
Replace Koen L. Vincken with:
Koen L. Vincken Netherlands
Aditya Bharatha Canada
Horst K. Hahn Germany
David Snead United Kingdom
Samuel Kadoury Canada
Michael R. Kaus United States
David J. Hawkes United Kingdom
Oliver Ganslandt Germany
Christopher Nimsky Germany
Ying Zhuge United States
Joan C. Vilanova relative to Koen L. Vincken Netherlands Koen L. Vincken's profile →
Citations per field
00.5×1.5×
Koen L. Vincken · 1×
Citations per year

Countries citing papers authored by Joan C. Vilanova

Since Specialization
Citations

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

Fields of papers citing papers by Joan C. Vilanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan C. Vilanova. 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 Joan C. Vilanova. The network helps show where Joan C. Vilanova may publish in the future.

Co-authors

The 25 scholars most cited alongside Joan C. Vilanova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joan C. Vilanova Line = papers co-authored together Joan C. Vilanova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20231
4 20231
5 20237
6 202215
7 202155
8 202030
9 20204
10 2019104
11 201979
12 20182
13 201515
14 20143
15 20103
16 20103
17 20093
18 2009117
19 200728
20 2004139

About Joan C. Vilanova

Joan C. Vilanova is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Orthopedics and Sports Medicine, Pulmonary and Respiratory Medicine and Rheumatology, having authored 143 papers that have together received 3.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (31 papers), Prostate Cancer Diagnosis and Treatment (28 papers), MRI in cancer diagnosis (26 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), Medical Imaging Techniques and Applications (17 papers), AI in cancer detection (14 papers), Advanced MRI Techniques and Applications (14 papers) and Medical Imaging and Analysis (13 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Computer Vision and Pattern Recognition (869 citations), Neurology (334 citations), Rheumatology (570 citations) and Pulmonary and Respiratory Medicine (935 citations). Joan C. Vilanova has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Xavier Lladó, Arnau Oliver, Jordi Freixenet, Joaquim Barceló, Robert Martí, Lluís Ramió‐Torrentà, Àlex Rovira, Mariano Cabezas, Antonio Luna and Sergi Valverde. Their work appears in journals such as Radiographics, European Radiology, Medical Image Analysis, Skeletal Radiology and Neuroradiology.

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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