Alberto Corvò
Impact in
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- Business Process Modeling and Analysis
Papers in
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- Data Visualization and Analytics 3
- Digital Imaging for Blood Diseases 1
- Context-Aware Activity Recognition Systems 1
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- AI in cancer detection 5
- Co-authors
- Michel A. Westenberg (6 shared papers)Marcus P. Kennedy (2 shared papers)Pádraig Cantillon‐Murphy (2 shared papers)Pietro Nardelli (2 shared papers)Raúl San Jośe Estépar (1 shared paper)Mary Murphy (1 shared paper)Michael M. Maher (1 shared paper)Marc A. van Driel (3 shared papers)
- Journals
- BioMedical Engineering OnLine (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)PubMed (1 paper)TU/e Research Portal (Eindhoven University of Technology) (1 paper)TU/e Research Portal (5 papers)
- Partner nations
- NetherlandsAustriaIreland
In The Last Decade
Alberto Corvò
10 papers receiving 61 citations
Peers
Comparison fields: 5 of 43
- Health Informatics 1
- Management Information Systems 7
- Radiology, Nuclear Medicine and Imaging 15
- Computer Vision and Pattern Recognition 15
- Pulmonary and Respiratory Medicine 19
Countries citing papers authored by Alberto Corvò
This map shows the geographic impact of Alberto Corvò'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 Alberto Corvò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Corvò more than expected).
Fields of papers citing papers by Alberto Corvò
This network shows the impact of papers produced by Alberto Corvò. 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 Alberto Corvò. The network helps show where Alberto Corvò may publish in the future.
Co-authors
The 16 scholars most cited alongside Alberto Corvò, 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 | 2015 | 27 | |
| 2 | 2017 | 10 | |
| 3 | 2017 | 8 | |
| 4 | 2014 | 6 | |
| 5 | 2017 | 4 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2019 | 1 | |
| 10 | Visual analytics in digital & computational pathology | 2019 | 1 |
About Alberto Corvò
Alberto Corvò is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Management Information Systems and Molecular Biology, having authored 10 papers that have together received 62 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Cell Image Analysis Techniques (4 papers), Data Visualization and Analytics (3 papers), Business Process Modeling and Analysis (2 papers), Advanced Radiotherapy Techniques (1 paper), Digital Imaging for Blood Diseases (1 paper), Soft Robotics and Applications (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Health Informatics (1 citation), Management Information Systems (7 citations), Radiology, Nuclear Medicine and Imaging (15 citations), Computer Vision and Pattern Recognition (15 citations) and Pulmonary and Respiratory Medicine (19 citations). Alberto Corvò has collaborated with scholars based in Netherlands, Austria and Ireland. Frequent co-authors include Michel A. Westenberg, Marcus P. Kennedy, Pádraig Cantillon‐Murphy, Pietro Nardelli, Raúl San Jośe Estépar, Mary Murphy, Michael M. Maher, Marc A. van Driel, Niamh Moore and Maria Twomey. Their work appears in journals such as BioMedical Engineering OnLine, IEEE Transactions on Visualization and Computer Graphics, PubMed, TU/e Research Portal (Eindhoven University of Technology) and TU/e Research Portal.
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.