Angelo Croatti
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
Papers in
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- Context-Aware Activity Recognition Systems 6
- Augmented Reality Applications 3
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- Multi-Agent Systems and Negotiation 5
- Co-authors
- Alessandro Ricci (17 shared papers)Sara Montagna (9 shared papers)Matteo Gabellini (1 shared paper)Stefano Mariani (2 shared papers)Marco Picone (1 shared paper)Vanni Agnoletti (3 shared papers)Emiliano Gamberini (2 shared papers)Mirko Viroli (4 shared papers)
In The Last Decade
Angelo Croatti
18 papers receiving 415 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 36
- Industrial and Manufacturing Engineering 220
- Medical Laboratory Technology 10
- Management Information Systems 33
- Computer Networks and Communications 71
Countries citing papers authored by Angelo Croatti
This map shows the geographic impact of Angelo Croatti'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 Angelo Croatti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Croatti more than expected).
Fields of papers citing papers by Angelo Croatti
This network shows the impact of papers produced by Angelo Croatti. 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 Angelo Croatti. The network helps show where Angelo Croatti may publish in the future.
Co-authors
The 16 scholars most cited alongside Angelo Croatti, 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 | 2020 | 199 | |
| 2 | 2022 | 63 | |
| 3 | 2021 | 45 | |
| 4 | 2018 | 21 | |
| 5 | 2019 | 19 | |
| 6 | 2018 | 12 | |
| 7 | 2015 | 11 | |
| 8 | 2022 | 9 | |
| 9 | 2018 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2019 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2024 | 2 |
About Angelo Croatti
Angelo Croatti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Industrial and Manufacturing Engineering and Management Information Systems, having authored 18 papers that have together received 422 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (6 papers), Digital Transformation in Industry (5 papers), Multi-Agent Systems and Negotiation (5 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers), Augmented Reality Applications (3 papers), Interactive and Immersive Displays (2 papers), Business Process Modeling and Analysis (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Health Informatics (36 citations), Industrial and Manufacturing Engineering (220 citations), Medical Laboratory Technology (10 citations), Management Information Systems (33 citations) and Computer Networks and Communications (71 citations). Angelo Croatti has collaborated with scholars based in Italy, Austria and Finland. Frequent co-authors include Alessandro Ricci, Sara Montagna, Matteo Gabellini, Stefano Mariani, Marco Picone, Vanni Agnoletti, Emiliano Gamberini, Mirko Viroli, Danilo Pianini and Pietro Brunetti. Their work appears in journals such as Artificial Intelligence in Medicine, ACM Transactions on Internet Technology, IEEE Internet Computing, Autonomous Agents and Multi-Agent Systems and Journal of Medical 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.