Federico Cabitza
Impact in
- Health Informatics top 0.02%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
Papers in
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- Explainable Artificial Intelligence (XAI) 22
- Semantic Web and Ontologies 18
- Machine Learning in Healthcare 17
-
- Artificial Intelligence in Healthcare and Education 37
- Co-authors
- Andrea Campagner (55 shared papers)Raffaele Rasoini (3 shared papers)Gian Franco Gensini (3 shared papers)Giuseppe Banfi (15 shared papers)Angela Locoro (21 shared papers)Carla Simone (25 shared papers)Anna Carobene (19 shared papers)Davide Ciucci (9 shared papers)
In The Last Decade
Federico Cabitza
175 papers receiving 3.7k citations
Federico Cabitza's Hit Papers
Peers
Comparison fields: 5 of 185
- Health Informatics 894
- Health Information Management 411
- Family Practice 112
- Artificial Intelligence 1.3k
- Radiology, Nuclear Medicine and Imaging 786
Countries citing papers authored by Federico Cabitza
This map shows the geographic impact of Federico Cabitza'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 Federico Cabitza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Cabitza more than expected).
Fields of papers citing papers by Federico Cabitza
This network shows the impact of papers produced by Federico Cabitza. 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 Federico Cabitza. The network helps show where Federico Cabitza may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Cabitza, 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 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Unintended Consequences of Machine Learning in Medicine Hit paper breakdown → | 2017 | 604 |
| 2 | 2020 | 225 | |
| 3 | 2018 | 183 | |
| 4 | 2021 | 182 | |
| 5 | Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions Hit paper breakdown → | 2024 | 172 |
| 6 | 2021 | 155 | |
| 7 | 2020 | 110 | |
| 8 | 2009 | 75 | |
| 9 | 2017 | 74 | |
| 10 | 2020 | 71 | |
| 11 | 2019 | 69 | |
| 12 | 2023 | 67 | |
| 13 | 2020 | 65 | |
| 14 | 2021 | 64 | |
| 15 | 2005 | 61 | |
| 16 | 2020 | 58 | |
| 17 | 2019 | 56 | |
| 18 | 2022 | 55 | |
| 19 | 2023 | 48 | |
| 20 | 2020 | 42 |
About Federico Cabitza
Federico Cabitza is a scholar working on Artificial Intelligence, Health Informatics, Health Information Management, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 193 papers that have together received 3.9k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (37 papers), Explainable Artificial Intelligence (XAI) (22 papers), Electronic Health Records Systems (19 papers), Semantic Web and Ontologies (18 papers), Machine Learning in Healthcare (17 papers), COVID-19 diagnosis using AI (13 papers), Data Quality and Management (13 papers) and Information Systems Theories and Implementation (12 papers). The work is most often cited by research in Health Informatics (894 citations), Health Information Management (411 citations), Family Practice (112 citations), Artificial Intelligence (1.3k citations) and Radiology, Nuclear Medicine and Imaging (786 citations). Federico Cabitza has collaborated with scholars based in Italy, Spain and Portugal. Frequent co-authors include Andrea Campagner, Raffaele Rasoini, Gian Franco Gensini, Giuseppe Banfi, Angela Locoro, Carla Simone, Anna Carobene, Davide Ciucci, Massimo Locatelli and Davide Ferrari. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Computer Supported Cooperative Work (CSCW), International Journal of Human-Computer Studies, Information Fusion and International Journal of Medical Informatics.
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.