Eva Thelisson
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in
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- Ethics and Social Impacts of AI 5
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- Blockchain Technology Applications and Security 3
- Co-authors
- Hanan Salam (1 shared paper)Kshitij Sharma (1 shared paper)Virginia Dignum (1 shared paper)Thierry Warin (3 shared papers)Nathalie de Marcellis-Warin (3 shared papers)Frédéric Marty (3 shared papers)Himanshu Verma (1 shared paper)
- Journals
- Revue internationale de droit économique (1 paper)Cambridge University Press eBooks (1 paper)Archive ouverte UNIGE (University of Geneva) (1 paper)SSRN Electronic Journal (1 paper)AI and Ethics (2 papers)
- Partner nations
- FranceSwitzerlandCanada
In The Last Decade
Eva Thelisson
8 papers receiving 708 citations
Eva Thelisson's Hit Papers
Peers
Comparison fields: 5 of 120
- Health Informatics 46
- Safety Research 71
- Artificial Intelligence 269
- Information Systems 181
- Computer Science Applications 29
Countries citing papers authored by Eva Thelisson
This map shows the geographic impact of Eva Thelisson'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 Eva Thelisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Thelisson more than expected).
Fields of papers citing papers by Eva Thelisson
This network shows the impact of papers produced by Eva Thelisson. 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 Eva Thelisson. The network helps show where Eva Thelisson may publish in the future.
Co-authors
The 7 scholars most cited alongside Eva Thelisson, 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 | The General Data Protection Regulation Hit paper breakdown → | 2018 | 708 |
| 2 | 2022 | 25 | |
| 3 | 2024 | 12 | |
| 4 | 2017 | 11 | |
| 5 | 2019 | 6 | |
| 6 | 2019 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2018 | 1 | |
| 10 | 2020 | 0 |
About Eva Thelisson
Eva Thelisson is a scholar working on Safety Research, Information Systems, Cognitive Neuroscience, Artificial Intelligence and Law, having authored 10 papers that have together received 767 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (5 papers), Blockchain Technology Applications and Security (3 papers), Neuroethics, Human Enhancement, Biomedical Innovations (2 papers), Explainable Artificial Intelligence (XAI) (1 paper), IoT and Edge/Fog Computing (1 paper), Adversarial Robustness in Machine Learning (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Law, Economics, and Judicial Systems (1 paper). The work is most often cited by research in Health Informatics (46 citations), Safety Research (71 citations), Artificial Intelligence (269 citations), Information Systems (181 citations) and Computer Science Applications (29 citations). Eva Thelisson has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Hanan Salam, Kshitij Sharma, Virginia Dignum, Thierry Warin, Nathalie de Marcellis-Warin, Frédéric Marty and Himanshu Verma. Their work appears in journals such as Revue internationale de droit économique, Cambridge University Press eBooks, Archive ouverte UNIGE (University of Geneva), SSRN Electronic Journal and AI and Ethics.
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.