Salvatore Vitabile
- Health Informatics top 2%
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- Digital Image Processing Techniques 12
- Medical Image Segmentation Techniques 12
- Image Retrieval and Classification Techniques 8
- Signal Processing top 2%
- Biometric Identification and Security 28
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- Radiomics and Machine Learning in Medical Imaging 18
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- User Authentication and Security Systems 22
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- Algebraic and Geometric Analysis 16
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- AI in cancer detection 12
- Co-authors
- Massimo MidiriFilippo SorbelloMassimo GaliaAldo GalluzzoCarla GiordanoAngela CriscimannaMarco Calogero AmatoCarmelo Militello
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterología (2 papers)Diabetes Care (1 paper)Atmospheric Environment (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Salvatore Vitabile
148 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Health Informatics 66
- Computer Vision and Pattern Recognition 794
- Endocrinology, Diabetes and Metabolism 580
- Signal Processing 321
- Radiology, Nuclear Medicine and Imaging 478
Countries citing papers authored by Salvatore Vitabile
This map shows the geographic impact of Salvatore Vitabile'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 Salvatore Vitabile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatore Vitabile more than expected).
Fields of papers citing papers by Salvatore Vitabile
This network shows the impact of papers produced by Salvatore Vitabile. 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 Salvatore Vitabile. The network helps show where Salvatore Vitabile may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Salvatore Vitabile, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 15 | |
| 10 | 2021 | 39 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 36 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 2017 | 3 | |
| 16 | 2016 | 13 | |
| 17 | 2015 | 5 | |
| 18 | 2007 | 20 | |
| 19 | 2005 | 1 | |
| 20 | 2004 | 4 |
About Salvatore Vitabile
Salvatore Vitabile is a scholar working on Health Informatics, Signal Processing and Computer Vision and Pattern Recognition, having authored 154 papers that have together received 3.4k indexed citations. Recurring topics across this work include Biometric Identification and Security (28 papers), User Authentication and Security Systems (22 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Algebraic and Geometric Analysis (16 papers), Digital Image Processing Techniques (12 papers), Medical Image Segmentation Techniques (12 papers), AI in cancer detection (12 papers) and Image Retrieval and Classification Techniques (8 papers). The work is most often cited by research in Health Informatics (66 citations), Computer Vision and Pattern Recognition (794 citations) and Endocrinology, Diabetes and Metabolism (580 citations). Salvatore Vitabile has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Massimo Midiri, Filippo Sorbello, Massimo Galia, Aldo Galluzzo, Carla Giordano, Angela Criscimanna, Marco Calogero Amato, Carmelo Militello, Vincenzo Conti and Leonardo Rundo. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Atmospheric Environment.
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.