Claire Saurel
Impact in
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
- Anatomy 1
-
- Logic, Reasoning, and Knowledge 3
- Security and Verification in Computing 2
- Multi-Agent Systems and Negotiation 1
- Co-authors
- Catherine TessierFrédéric CuppensLaurence CholvyPatrick MaupinAnne-Laure JousselmeAlison H. ChangK.C. MoisioJoan S. Chmiel
- Journals
- Osteoarthritis and Cartilage (2 papers)Ethics and Information Technology (1 paper)International Journal of Intelligent Systems (1 paper)PolyPublie (École Polytechnique de Montréal) (3 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Claire Saurel
10 papers receiving 112 citations
Peers
Comparison fields: 5 of 39
- Safety Research 51
- Health Informatics 6
- Artificial Intelligence 53
- Information Systems 34
- Cognitive Neuroscience 28
Countries citing papers authored by Claire Saurel
This map shows the geographic impact of Claire Saurel'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 Claire Saurel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire Saurel more than expected).
Fields of papers citing papers by Claire Saurel
This network shows the impact of papers produced by Claire Saurel. 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 Claire Saurel. The network helps show where Claire Saurel may publish in the future.
Co-authors
The 12 scholars most cited alongside Claire Saurel, 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 | 2018 | 64 | |
| 2 | How Ethical Frameworks Answer to Ethical Dilemmas: Towards a Formal Model. | 2016 | 2 |
| 3 | 2011 | 1 | |
| 4 | 2011 | 1 | |
| 5 | 2007 | 6 | |
| 6 | Ability in a Multi-Agent Context: A Model in the Situation Calculus | 2005 | 1 |
| 7 | 2002 | 4 | |
| 8 | 2002 | 17 | |
| 9 | 2001 | 4 | |
| 10 | 1997 | 17 |
About Claire Saurel
Claire Saurel is a scholar working on Anatomy, Artificial Intelligence, Rehabilitation, Information Systems and Management and Information Systems, having authored 10 papers that have together received 117 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (3 papers), Health, Medicine and Society (2 papers), Digital and Cyber Forensics (2 papers), Security and Verification in Computing (2 papers), Ethics in Business and Education (1 paper), Multi-Agent Systems and Negotiation (1 paper), Digital Rights Management and Security (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Safety Research (51 citations), Health Informatics (6 citations), Artificial Intelligence (53 citations), Information Systems (34 citations) and Cognitive Neuroscience (28 citations). Claire Saurel has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Catherine Tessier, Frédéric Cuppens, Laurence Cholvy, Patrick Maupin, Anne-Laure Jousselme, Alison H. Chang, K.C. Moisio, Joan S. Chmiel, Orit Almagor and Leena Sharma. Their work appears in journals such as Osteoarthritis and Cartilage, Ethics and Information Technology, International Journal of Intelligent Systems and PolyPublie (École Polytechnique de Montréal).
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.