Anna Vilanova

4.4k citations
177 papers · 3.6k · h-index 30

Impact in

Papers in

Anna Vilanova

166 papers receiving 3.5k citations

Peers

Anna Vilanova
Comparison fields: 5 of 143
  • Computer Graphics and Computer-Aided Design 645
  • Computer Vision and Pattern Recognition 1.3k
  • Radiology, Nuclear Medicine and Imaging 939
  • Computational Mathematics 10
  • Neurology 166
Replace Shin Nakajima with:
Shin Nakajima Japan
Hemant D. Tagare United States
Dimitris Samaras United States
Ola Friman Sweden
Miles N. Wernick United States
Gordon Kindlmann United States
Hugues Talbot France
Geoffrey McLennan United States
David Rodney Hose United Kingdom
Örjan Smedby Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Anna Vilanova

Since Specialization
Citations

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

Fields of papers citing papers by Anna Vilanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna 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 Anna Vilanova Line = papers co-authored together Anna Vilanova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016239
2 2017184
3 2005138
4 2017130
5 2012123
6 2015123
7 2006122
8 2016106
9 2016102
10 200892
11 200677
12 200674
13 201865
14 201959
15 201955
16 200752
17 201251
18 200949
19 200447
20 201044

About Anna Vilanova

Anna Vilanova is a scholar working on Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computational Mechanics and Radiation, having authored 177 papers that have together received 3.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (56 papers), Data Visualization and Analytics (54 papers), Advanced Neuroimaging Techniques and Applications (51 papers), Medical Image Segmentation Techniques (12 papers), Cardiac Imaging and Diagnostics (9 papers), Advanced MRI Techniques and Applications (9 papers), 3D Shape Modeling and Analysis (6 papers) and Anatomy and Medical Technology (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (645 citations), Computer Vision and Pattern Recognition (1.3k citations), Radiology, Nuclear Medicine and Imaging (939 citations), Computational Mathematics (10 citations) and Neurology (166 citations). Anna Vilanova has collaborated with scholars based in Netherlands, Austria and Germany. Frequent co-authors include Thomas Höllt, Elmar Eisemann, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Bart M. ter Haar Romeny, Jarke J. van Wijk, Eduard Groeller, Vincent van Unen, Frits Koning and Frans A. Gerritsen. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, PLoS ONE, Computers & Graphics and NMR in Biomedicine.

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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