Giulia Vilone
Impact in
- Artificial Intelligence top 2%
- Explainable Artificial Intelligence (XAI)
- Multi-Agent Systems and Negotiation
- Artificial Intelligence Applications
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Explainable Artificial Intelligence (XAI) 10
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- Agricultural safety and regulations 2
- Co-authors
- Luca Longo (8 shared papers)Cian O’Mahony (3 shared papers)Nimmi P. Mohandas (1 shared paper)Judy S. LaKind (1 shared paper)John N. Westgate (1 shared paper)Francesco Sovrano (2 shared papers)Carol J. Burns (1 shared paper)Lesa L. Aylward (1 shared paper)
- Journals
- Journal of Exposure Science & Environmental Epidemiology (1 paper)Information Fusion (1 paper)Food Additives & Contaminants Part A (1 paper)International Journal of Human-Computer Interaction (1 paper)Journal of Toxicology and Environmental Health Part B (1 paper)
- Partner nations
- IrelandBelgiumSwitzerland
In The Last Decade
Giulia Vilone
15 papers receiving 667 citations
Giulia Vilone's Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 455
- Health Informatics 12
- Safety Research 32
- Signal Processing 13
- Chemical Health and Safety 1
Countries citing papers authored by Giulia Vilone
This map shows the geographic impact of Giulia Vilone'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 Giulia Vilone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Vilone more than expected).
Fields of papers citing papers by Giulia Vilone
This network shows the impact of papers produced by Giulia Vilone. 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 Giulia Vilone. The network helps show where Giulia Vilone may publish in the future.
Co-authors
The 17 scholars most cited alongside Giulia Vilone, 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 | Notions of explainability and evaluation approaches for explainable artificial intelligence Hit paper breakdown → | 2021 | 417 |
| 2 | 2021 | 118 | |
| 3 | 2020 | 58 | |
| 4 | 2021 | 21 | |
| 5 | 2017 | 16 | |
| 6 | 2018 | 12 | |
| 7 | 2014 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2013 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2026 | 0 |
About Giulia Vilone
Giulia Vilone is a scholar working on Artificial Intelligence, Food Science, Nutrition and Dietetics, Organizational Behavior and Human Resource Management and Health, Toxicology and Mutagenesis, having authored 16 papers that have together received 688 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (10 papers), Pesticide Exposure and Toxicity (2 papers), Agricultural safety and regulations (2 papers), Nutrition, Health and Food Behavior (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Nutritional Studies and Diet (1 paper), Organizational Learning and Leadership (1 paper) and Economics of Agriculture and Food Markets (1 paper). The work is most often cited by research in Artificial Intelligence (455 citations), Health Informatics (12 citations), Safety Research (32 citations), Signal Processing (13 citations) and Chemical Health and Safety (1 citation). Giulia Vilone has collaborated with scholars based in Ireland, Belgium and Switzerland. Frequent co-authors include Luca Longo, Cian O’Mahony, Nimmi P. Mohandas, Judy S. LaKind, John N. Westgate, Francesco Sovrano, Carol J. Burns, Lesa L. Aylward, Jon A. Arnot and Christina Cowan‐Ellsberry. Their work appears in journals such as Journal of Exposure Science & Environmental Epidemiology, Information Fusion, Food Additives & Contaminants Part A, International Journal of Human-Computer Interaction and Journal of Toxicology and Environmental Health Part B.
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.