Guillermo Vilanova
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
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- Cellular Mechanics and Interactions
Papers in
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- Mathematical Biology Tumor Growth 10
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- Angiogenesis and VEGF in Cancer 5
- Co-authors
- Héctor Gómez (11 shared papers)Ignasi Colominas (6 shared papers)Jiangping Xu (3 shared papers)Kevin Tew (1 shared paper)Lei Liu (1 shared paper)Michael A. Scott (1 shared paper)Thomas J.R. Hughes (1 shared paper)Guillermo Lorenzo (1 shared paper)
- Journals
- Computer Methods in Applied Mechanics and Engineering (2 papers)Journal of The Royal Society Interface (2 papers)eLife (2 papers)Scientific Reports (1 paper)iScience (1 paper)
- Partner nations
- SpainUnited StatesNepal
In The Last Decade
Guillermo Vilanova
15 papers receiving 418 citations
Peers
Comparison fields: 5 of 69
- Modeling and Simulation 219
- Cell Biology 99
- Computational Mechanics 90
- Oncology 83
- Cancer Research 46
Countries citing papers authored by Guillermo Vilanova
This map shows the geographic impact of Guillermo 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 Guillermo Vilanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Vilanova more than expected).
Fields of papers citing papers by Guillermo Vilanova
This network shows the impact of papers produced by Guillermo 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 Guillermo Vilanova. The network helps show where Guillermo Vilanova may publish in the future.
Co-authors
The 19 scholars most cited alongside Guillermo Vilanova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 83 | |
| 2 | 2016 | 64 | |
| 3 | 2013 | 63 | |
| 4 | 2017 | 55 | |
| 5 | 2018 | 29 | |
| 6 | 2019 | 29 | |
| 7 | 2017 | 28 | |
| 8 | 2013 | 28 | |
| 9 | 2016 | 26 | |
| 10 | 2022 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2012 | 1 | |
| 16 | 2025 | 0 |
About Guillermo Vilanova
Guillermo Vilanova is a scholar working on Modeling and Simulation, Molecular Biology, Cell Biology, Oncology and Condensed Matter Physics, having authored 16 papers that have together received 421 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (10 papers), Angiogenesis and VEGF in Cancer (5 papers), Cellular Mechanics and Interactions (4 papers), Advanced Mathematical Modeling in Engineering (3 papers), Micro and Nano Robotics (3 papers), Cancer Cells and Metastasis (3 papers), Advanced Numerical Analysis Techniques (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Modeling and Simulation (219 citations), Cell Biology (99 citations), Computational Mechanics (90 citations), Oncology (83 citations) and Cancer Research (46 citations). Guillermo Vilanova has collaborated with scholars based in Spain, United States and Nepal. Frequent co-authors include Héctor Gómez, Ignasi Colominas, Jiangping Xu, Kevin Tew, Lei Liu, Michael A. Scott, Thomas J.R. Hughes, Guillermo Lorenzo, Yongjie Zhang and Adrian Moure. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of The Royal Society Interface, eLife, Scientific Reports and iScience.
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.