Giada Pistilli
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Archaeological Research and Protection
Papers in
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- Ethics and Social Impacts of AI 4
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- Adversarial Robustness in Machine Learning 1
- Law, AI, and Intellectual Property 1
- Co-authors
- Margaret Mitchell (2 shared papers)Yacine Jernite (2 shared papers)Carlos Muñoz Ferrandis (1 shared paper)Ricardo Baeza‐Yates (1 shared paper)Jess Holbrook (1 shared paper)Alex Shenfield (1 shared paper)Jessica Vitak (1 shared paper)Henriette Cramer (1 shared paper)
- Journals
- Ethics and Information Technology (1 paper)Internet Archaeology (1 paper)ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (1 paper)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Giada Pistilli
5 papers receiving 29 citations
Peers
Comparison fields: 5 of 25
- Health Informatics 3
- Space and Planetary Science 3
- Safety Research 10
- Computer Science Applications 4
- Neuropsychology and Physiological Psychology 1
Countries citing papers authored by Giada Pistilli
This map shows the geographic impact of Giada Pistilli'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 Giada Pistilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giada Pistilli more than expected).
Fields of papers citing papers by Giada Pistilli
This network shows the impact of papers produced by Giada Pistilli. 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 Giada Pistilli. The network helps show where Giada Pistilli may publish in the future.
Co-authors
The 18 scholars most cited alongside Giada Pistilli, 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 | 2024 | 10 | |
| 2 | 2023 | 9 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 |
About Giada Pistilli
Giada Pistilli is a scholar working on Safety Research, Artificial Intelligence, Space and Planetary Science, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 5 papers that have together received 29 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (4 papers), Intellectual Property and Patents (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Neuroethics, Human Enhancement, Biomedical Innovations (1 paper), Archaeological Research and Protection (1 paper), Image Processing and 3D Reconstruction (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Law, AI, and Intellectual Property (1 paper). The work is most often cited by research in Health Informatics (3 citations), Space and Planetary Science (3 citations), Safety Research (10 citations), Computer Science Applications (4 citations) and Neuropsychology and Physiological Psychology (1 citation). Giada Pistilli has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Margaret Mitchell, Yacine Jernite, Carlos Muñoz Ferrandis, Ricardo Baeza‐Yates, Jess Holbrook, Alex Shenfield, Jessica Vitak, Henriette Cramer, Ewa Luger and Simone Stumpf. Their work appears in journals such as Ethics and Information Technology, Internet Archaeology, ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam), Proceedings of the AAAI/ACM Conference on AI Ethics and Society and arXiv (Cornell University).
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.