Roberto Saia
Impact in
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Spam and Phishing Detection
- Cybercrime and Law Enforcement Studies
- Recommender Systems and Techniques
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Imbalanced Data Classification Techniques 16
- Anomaly Detection Techniques and Applications 7
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- Recommender Systems and Techniques 7
- Co-authors
- Salvatore Carta (48 shared papers)Diego Reforgiato Recupero (17 shared papers)Gianni Fenu (21 shared papers)Massimo Bartoletti (1 shared paper)Tiziana Cimoli (1 shared paper)Ludovico Boratto (12 shared papers)Alessandro Sebastian Podda (12 shared papers)Lorena Giordano (1 shared paper)
In The Last Decade
Roberto Saia
53 papers receiving 987 citations
Roberto Saia's Hit Papers
Peers
Comparison fields: 5 of 91
- Information Systems 471
- Artificial Intelligence 527
- Accounting 163
- Management Science and Operations Research 101
- Signal Processing 83
Countries citing papers authored by Roberto Saia
This map shows the geographic impact of Roberto Saia'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 Roberto Saia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Saia more than expected).
Fields of papers citing papers by Roberto Saia
This network shows the impact of papers produced by Roberto Saia. 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 Roberto Saia. The network helps show where Roberto Saia may publish in the future.
Co-authors
The 15 scholars most cited alongside Roberto Saia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dissecting Ponzi schemes on Ethereum: identification, analysis, and\n impact Hit paper breakdown → | 2017 | 242 |
| 2 | 2019 | 73 | |
| 3 | 2018 | 41 | |
| 4 | 2014 | 41 | |
| 5 | 2018 | 39 | |
| 6 | 2017 | 38 | |
| 7 | 2020 | 37 | |
| 8 | 2019 | 35 | |
| 9 | 2019 | 33 | |
| 10 | 2020 | 29 | |
| 11 | 2019 | 29 | |
| 12 | 2017 | 27 | |
| 13 | 2016 | 24 | |
| 14 | 2017 | 23 | |
| 15 | 2020 | 22 | |
| 16 | 2016 | 22 | |
| 17 | 2018 | 19 | |
| 18 | 2018 | 19 | |
| 19 | 2017 | 18 | |
| 20 | 2016 | 18 |
About Roberto Saia
Roberto Saia is a scholar working on Artificial Intelligence, Information Systems, Accounting, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (16 papers), Financial Distress and Bankruptcy Prediction (12 papers), Anomaly Detection Techniques and Applications (7 papers), Network Security and Intrusion Detection (7 papers), Recommender Systems and Techniques (7 papers), EEG and Brain-Computer Interfaces (5 papers), Credit Risk and Financial Regulations (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Information Systems (471 citations), Artificial Intelligence (527 citations), Accounting (163 citations), Management Science and Operations Research (101 citations) and Signal Processing (83 citations). Roberto Saia has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Massimo Bartoletti, Tiziana Cimoli, Ludovico Boratto, Alessandro Sebastian Podda, Lorena Giordano, Anselmo Ferreira and Livio Pompianu. Their work appears in journals such as Future Generation Computer Systems, Future Internet, Journal of Information Security and Applications, Sensors and Knowledge-Based Systems.
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.