Anna Vilanova

4.5k citations
151 papers · 3.3k · h-index 30

Impact in

Papers in

Anna Vilanova

144 papers receiving 3.2k citations

Peers

Anna Vilanova
Comparison fields: 5 of 161
  • Computational Mathematics 143
  • Computer Graphics and Computer-Aided Design 378
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Computer Vision and Pattern Recognition 988
  • Biophysics 189
Replace Ghassan Hamarneh with:
Ghassan Hamarneh Canada
Weidong Cai Australia
Ron Kikinis United States
Horst K. Hahn Germany
Shin Nakajima Japan
Gustavo K. Rohde United States
Maxime Sermesant France
Stefan Klein Netherlands
Benoı̂t Macq Belgium
Rob MacLeod United States
Anna Vilanova relative to Ghassan Hamarneh Canada Ghassan Hamarneh's profile →
Citations per field
00.5×3.8×
Ghassan Hamarneh · 1×
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 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016224
2 2017152
3 2005136
4 2006124
5 2015118
6 2012116
7 2017114
8 200892
9 201690
10 201688
11 200676
12 200675
13 201855
14 201953
15 200752
16 201250
17 200950
18 200448
19 201045
20 200744

About Anna Vilanova

Anna Vilanova is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics and Computational Mathematics, having authored 151 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (58 papers), Advanced MRI Techniques and Applications (31 papers), Computer Graphics and Visualization Techniques (28 papers), Data Visualization and Analytics (22 papers), 3D Shape Modeling and Analysis (20 papers), Tensor decomposition and applications (17 papers), Medical Image Segmentation Techniques (15 papers) and Medical Imaging Techniques and Applications (15 papers). The work is most often cited by research in Computational Mathematics (143 citations), Computer Graphics and Computer-Aided Design (378 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Computer Vision and Pattern Recognition (988 citations) and Biophysics (189 citations). Anna Vilanova has collaborated with scholars based in Netherlands, Germany and Austria. Frequent co-authors include Elmar Eisemann, Thomas Höllt, Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Bart M. ter Haar Romeny, Jarke J. van Wijk, Frans Gerritsen, Vincent van Unen, Frits Koning and David H. Laidlaw. 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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