Ivan Donadello
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Machine Learning in Healthcare
- Adversarial Robustness in Machine Learning
Papers in ⓘ
-
- Explainable Artificial Intelligence (XAI) 6
- Topic Modeling 5
- Advanced Text Analysis Techniques 2
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Mauro Dragoni (10 shared papers)Claudio Eccher (3 shared papers)Luciano Serafini (3 shared papers)Erik Cambria (1 shared paper)Artur d’Avila Garcez (3 shared papers)Natalia Díaz-Rodríguez (3 shared papers)A. Lamas (1 shared paper)Siham Tabik (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (1 paper)Business & Information Systems Engineering (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Frontiers in Psychology (1 paper)IEEE Intelligent Systems (1 paper)
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Ivan Donadello
18 papers receiving 254 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 28
- Artificial Intelligence 181
- Safety Research 15
- Applied Psychology 9
- Management Information Systems 15
Countries citing papers authored by Ivan Donadello
This map shows the geographic impact of Ivan Donadello'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 Ivan Donadello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Donadello more than expected).
Fields of papers citing papers by Ivan Donadello
This network shows the impact of papers produced by Ivan Donadello. 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 Ivan Donadello. The network helps show where Ivan Donadello may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Donadello, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 62 | |
| 2 | 2020 | 39 | |
| 3 | 2022 | 37 | |
| 4 | 2024 | 29 | |
| 5 | 2017 | 18 | |
| 6 | 2016 | 11 | |
| 7 | Persuasive Explanation of Reasoning Inferences on Dietary Data. | 2019 | 10 |
| 8 | 2019 | 9 | |
| 9 | 2023 | 9 | |
| 10 | 2016 | 9 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2023 | 2 | |
| 17 | SeXAI: Introducing Concepts into Black Boxes for Explainable Artificial Intelligence. | 2020 | 1 |
| 18 | Ontology Based Semantic Image Interpretation. | 2015 | 1 |
| 19 | 2025 | 0 | |
| 20 | 2021 | 0 |
About Ivan Donadello
Ivan Donadello is a scholar working on General Decision Sciences, Artificial Intelligence, Applied Psychology, Management Information Systems and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 261 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (6 papers), Topic Modeling (5 papers), Multimodal Machine Learning Applications (3 papers), Service-Oriented Architecture and Web Services (3 papers), Business Process Modeling and Analysis (3 papers), Mobile Health and mHealth Applications (2 papers), Advanced Text Analysis Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Health Informatics (28 citations), Artificial Intelligence (181 citations), Safety Research (15 citations), Applied Psychology (9 citations) and Management Information Systems (15 citations). Ivan Donadello has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Mauro Dragoni, Claudio Eccher, Luciano Serafini, Erik Cambria, Artur d’Avila Garcez, Natalia Díaz-Rodríguez, A. Lamas, Siham Tabik, David Filliat and Gianni Franchi. Their work appears in journals such as Artificial Intelligence in Medicine, Business & Information Systems Engineering, Engineering Applications of Artificial Intelligence, Frontiers in Psychology and IEEE Intelligent 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.