Vitoantonio Bevilacqua
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Antonio BrunettiDomenico BuongiornoGianpaolo Francesco TrottaGiovanni DimauroGiacomo Donato CascaranoGiuseppe MastronardiNicola AltiniMichele Fiorentino
- Topics
- AI in cancer detection (23 papers)Radiomics and Machine Learning in Medical Imaging (18 papers)Muscle activation and electromyography studies (13 papers)
In The Last Decade
Vitoantonio Bevilacqua
141 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computer Vision and Pattern Recognition 736
- Artificial Intelligence 610
- Biomedical Engineering 472
- Radiology, Nuclear Medicine and Imaging 426
- Cognitive Neuroscience 246
Countries citing papers authored by Vitoantonio Bevilacqua
This map shows the geographic impact of Vitoantonio Bevilacqua'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 Vitoantonio Bevilacqua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vitoantonio Bevilacqua more than expected).
Fields of papers citing papers by Vitoantonio Bevilacqua
This network shows the impact of papers produced by Vitoantonio Bevilacqua. 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 Vitoantonio Bevilacqua. The network helps show where Vitoantonio Bevilacqua may publish in the future.
Co-authorship network of co-authors of Vitoantonio Bevilacqua
This figure shows the co-authorship network connecting the top 25 collaborators of Vitoantonio Bevilacqua. A scholar is included among the top collaborators of Vitoantonio Bevilacqua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vitoantonio Bevilacqua. Vitoantonio Bevilacqua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | Intelligent Computing Theories and Application : 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part II | 1 |
| 18 | 3 | |
| 19 | RETINAL FUNDUS HYBRID ANALYSIS BASED ON SOFT COMPUTING ALGORITHMS | 1 |
| 20 | 36 |
About Vitoantonio Bevilacqua
Vitoantonio Bevilacqua is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 158 papers that have together received 2.5k indexed citations. Recurring topics across this work include AI in cancer detection (23 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Muscle activation and electromyography studies (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (736 citations), Health Informatics (39 citations) and Human-Computer Interaction (127 citations). Vitoantonio Bevilacqua has collaborated with scholars based in Italy, China and Australia. Frequent co-authors include Antonio Brunetti, Domenico Buongiorno, Gianpaolo Francesco Trotta, Giovanni Dimauro, Giacomo Donato Cascarano, Giuseppe Mastronardi, Nicola Altini, Michele Fiorentino, Antonio Emmanuele Uva and Vito Modesto Manghisi. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.
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.