Massimo Esposito
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
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- Topic Modeling 29
- Natural Language Processing Techniques 16
- Fuzzy Logic and Control Systems 14
- Sentiment Analysis and Opinion Mining 12
- Semantic Web and Ontologies 12
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- Context-Aware Activity Recognition Systems 17
- Co-authors
- Giuseppe De Pietro (70 shared papers)Marco Pota (30 shared papers)Umberto Maniscalco (9 shared papers)Ciro Mennella (8 shared papers)Hamido Fujita (17 shared papers)Rosario Catelli (11 shared papers)Aniello Minutolo (30 shared papers)Antonio Coronato (5 shared papers)
In The Last Decade
Massimo Esposito
123 papers receiving 2.2k citations
Massimo Esposito's Hit Papers
Peers
Comparison fields: 5 of 184
- Health Informatics 188
- Artificial Intelligence 995
- Health Information Management 122
- Information Systems 249
- Computer Vision and Pattern Recognition 205
Countries citing papers authored by Massimo Esposito
This map shows the geographic impact of Massimo Esposito'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 Massimo Esposito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Esposito more than expected).
Fields of papers citing papers by Massimo Esposito
This network shows the impact of papers produced by Massimo Esposito. 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 Massimo Esposito. The network helps show where Massimo Esposito may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Esposito, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ethical and regulatory challenges of AI technologies in healthcare: A narrative review Hit paper breakdown → | 2024 | 388 |
| 2 | 2020 | 104 | |
| 3 | 2019 | 97 | |
| 4 | 2007 | 91 | |
| 5 | 2022 | 82 | |
| 6 | 2021 | 73 | |
| 7 | 2020 | 57 | |
| 8 | 2017 | 53 | |
| 9 | 2002 | 45 | |
| 10 | 2020 | 43 | |
| 11 | 2017 | 43 | |
| 12 | 2018 | 42 | |
| 13 | 2017 | 42 | |
| 14 | 2021 | 39 | |
| 15 | 2022 | 38 | |
| 16 | 2011 | 36 | |
| 17 | 2023 | 34 | |
| 18 | 2023 | 32 | |
| 19 | 2013 | 32 | |
| 20 | 2011 | 31 |
About Massimo Esposito
Massimo Esposito is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Computer Networks and Communications and Sociology and Political Science, having authored 130 papers that have together received 2.3k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Context-Aware Activity Recognition Systems (17 papers), Natural Language Processing Techniques (16 papers), Fuzzy Logic and Control Systems (14 papers), Sentiment Analysis and Opinion Mining (12 papers), Semantic Web and Ontologies (12 papers), Biomedical Text Mining and Ontologies (11 papers) and Rough Sets and Fuzzy Logic (10 papers). The work is most often cited by research in Health Informatics (188 citations), Artificial Intelligence (995 citations), Health Information Management (122 citations), Information Systems (249 citations) and Computer Vision and Pattern Recognition (205 citations). Massimo Esposito has collaborated with scholars based in Italy, Japan and Vietnam. Frequent co-authors include Giuseppe De Pietro, Marco Pota, Umberto Maniscalco, Ciro Mennella, Hamido Fujita, Rosario Catelli, Aniello Minutolo, Antonio Coronato, Valentina Casola and Francesco Gargiulo. Their work appears in journals such as Knowledge-Based Systems, IEEE Access, Computers in Biology and Medicine, Engineering Applications of Artificial Intelligence and Expert Systems with Applications.
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.