Vincenzo Riccio
- Software top 1%
- Software Testing and Debugging Techniques 17
- Software Reliability and Analysis Research 5
- Orthodontics top 5%
- Oral Surgery top 5%
- Information Systems top 5%
- Software Engineering Research 7
- Rheumatology top 10%
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- Adversarial Robustness in Machine Learning 9
- Machine Learning and Data Classification 3
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- Software System Performance and Reliability 5
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- Bone Tissue Engineering Materials 3
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- Advanced Malware Detection Techniques 3
- Co-authors
- Paolo TonellaGunel JahangirovaNargiz HumbatovaAndrea StoccoAlessio GambiGabriele BavotaBjarne Møller‐MadsenReinhard Zeller
- Cited by
- SoftwareOrthodonticsOral Surgery
- Journals
- Biomaterials (2 papers)Clinical Orthopaedics and Related Research (1 paper)IEEE Access (1 paper)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Vincenzo Riccio
30 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Software 328
- Orthodontics 88
- Oral Surgery 89
- Information Systems 257
- Rheumatology 163
Countries citing papers authored by Vincenzo Riccio
This map shows the geographic impact of Vincenzo Riccio'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 Vincenzo Riccio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Riccio more than expected).
Fields of papers citing papers by Vincenzo Riccio
This network shows the impact of papers produced by Vincenzo Riccio. 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 Vincenzo Riccio. The network helps show where Vincenzo Riccio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vincenzo Riccio, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 22 | |
| 6 | 2023 | 9 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 52 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 17 | |
| 11 | 2018 | 29 | |
| 12 | 2017 | 31 | |
| 13 | 2017 | 8 | |
| 14 | 2009 | 3 | |
| 15 | 2003 | 11 | |
| 16 | 1999 | 13 | |
| 17 | 1999 | 208 | |
| 18 | 1998 | 75 | |
| 19 | 1996 | 86 | |
| 20 | 1992 | 9 |
About Vincenzo Riccio
Vincenzo Riccio is a scholar working on Software, Developmental Biology and Information Systems, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (17 papers), Adversarial Robustness in Machine Learning (9 papers), Software Engineering Research (7 papers), Software Reliability and Analysis Research (5 papers), Software System Performance and Reliability (5 papers), Bone Tissue Engineering Materials (3 papers), Machine Learning and Data Classification (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Software (328 citations), Orthodontics (88 citations) and Oral Surgery (89 citations). Vincenzo Riccio has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Paolo Tonella, Gunel Jahangirova, Nargiz Humbatova, Andrea Stocco, Alessio Gambi, Gabriele Bavota, Bjarne Møller‐Madsen, Reinhard Zeller, Christian Tschauner and Fritz Hefti. Their work appears in journals such as Biomaterials, Clinical Orthopaedics and Related Research 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.