Indro Spinelli
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Advanced Graph Neural Networks
- Machine Learning in Healthcare
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
Papers in
-
- Advanced Graph Neural Networks 5
- Privacy-Preserving Technologies in Data 4
- Domain Adaptation and Few-Shot Learning 2
- Explainable Artificial Intelligence (XAI) 2
-
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Simone Scardapane (11 shared papers)Amir Hussain (3 shared papers)Aurelio Uncini (5 shared papers)Vinay Chamola (2 shared papers)Kaizhu Huang (2 shared papers)Vikas Hassija (1 shared paper)Mufti Mahmud (1 shared paper)Siva Sai (1 shared paper)
- Journals
- Neural Networks (3 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)Cognitive Computation (2 papers)IEEE Transactions on Industrial Informatics (1 paper)IEEE Transactions on Artificial Intelligence (1 paper)
- Partner nations
- ItalyUnited KingdomIndia
In The Last Decade
Indro Spinelli
12 papers receiving 1.1k citations
Indro Spinelli's Hit Papers
Peers
Comparison fields: 5 of 158
- Health Informatics 88
- Artificial Intelligence 490
- Safety Research 71
- Health Information Management 33
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by Indro Spinelli
This map shows the geographic impact of Indro Spinelli'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 Indro Spinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indro Spinelli more than expected).
Fields of papers citing papers by Indro Spinelli
This network shows the impact of papers produced by Indro Spinelli. 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 Indro Spinelli. The network helps show where Indro Spinelli may publish in the future.
Co-authors
The 16 scholars most cited alongside Indro Spinelli, 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 | Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence Hit paper breakdown → | 2023 | 868 |
| 2 | 2020 | 122 | |
| 3 | 2020 | 75 | |
| 4 | 2021 | 60 | |
| 5 | 2022 | 19 | |
| 6 | 2023 | 9 | |
| 7 | 2025 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 |
About Indro Spinelli
Indro Spinelli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (5 papers), Privacy-Preserving Technologies in Data (4 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (88 citations), Artificial Intelligence (490 citations), Safety Research (71 citations), Health Information Management (33 citations) and Computer Vision and Pattern Recognition (93 citations). Indro Spinelli has collaborated with scholars based in Italy, United Kingdom and India. Frequent co-authors include Simone Scardapane, Amir Hussain, Aurelio Uncini, Vinay Chamola, Kaizhu Huang, Vikas Hassija, Mufti Mahmud, Siva Sai, A. Palma and Zhiyuan Tan. Their work appears in journals such as Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, Cognitive Computation, IEEE Transactions on Industrial Informatics and IEEE Transactions on Artificial Intelligence.
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.