The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Catuscia Palamidessi sits on this spectrum.
This scientist: 330 publications — 79th percentile
79% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Catuscia Palamidessi sits on this spectrum.
This scientist: 53 D-Index — 67th percentile
67% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Catuscia Palamidessi is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research primarily falls within the field of Computer Science, with a focus on Artificial Intelligence, Sociology and Political Science, Safety Research, Computer Networks and Communications, and Statistics and Probability.
The scientist's work covers several main topics including Privacy-Preserving Technologies in Data, Cryptography and Data Security, Adversarial Robustness in Machine Learning, Ethics and Social Impacts of AI, Privacy, Security, and Data Protection, Internet Traffic Analysis and Secure E-voting, and Explainable Artificial Intelligence (XAI).
Palamidessi has contributed to numerous publications and has authored papers featured in journals and conference venues such as arXiv (Cornell University), ACM SIGLOG News, HAL (Le Centre pour la Communication Scientifique Directe), Proceedings on Privacy Enhancing Technologies, and Proceedings of the AAAI Conference on Artificial Intelligence.
Some recent papers include:
Frequent collaborators include Konstantinos Chatzikokolakis, Annabelle McIver, Mário S. Alvim, Karima Makhlouf, and Carroll Morgan.
In addition to journal articles and conference papers, Palamidessi has published at least one book with Springer Nature titled The Science of Quantitative Information Flow (2020).
Miguel E. Andrés;Nicolás E. Bordenabe;Konstantinos Chatzikokolakis;Catuscia Palamidessi
Catuscia Palamidessi
Konstantinos Chatzikokolakis;Konstantinos Chatzikokolakis;Miguel E. Andrés;Nicolás Emilio Bordenabe;Catuscia Palamidessi
M. Falaschi;G. Levi;C. Palamidessi;M. Martelli
Nicolás E. Bordenabe;Konstantinos Chatzikokolakis;Catuscia Palamidessi
Konstantinos Chatzikokolakis;Catuscia Palamidessi;Prakash Panangaden
M. S. Alvim;K. Chatzikokolakis;C. Palamidessi;G. Smith
John Lloyd;Veronica Dahl;Ulrich Furbach;Manfred Kerber
Catuscia Palamidessi
Catuscia Palamidessi
Elio Giovannetti;Giorgio Levi;Corrado Moiso;Catuscia Palamidessi
Christelle Braun;Konstantinos Chatzikokolakis;Catuscia Palamidessi
Mário S. Alvim;Miguel E. Andrés;Konstantinos Chatzikokolakis;Pierpaolo Degano
Mogens Nielsen;Catuscia Palamidessi;Frank D. Valencia
Moreno Falaschi;Giorgio Levi;Maurizio Martelli;Catuscia Palamidessi
Oltea Mihaela Herescu;Catuscia Palamidessi
Frank S. de Boer;Catuscia Palamidessi
Catuscia Palamidessi
Konstantinos Chatzikokolakis;Catuscia Palamidessi;Marco Stronati
Frank S. de Boer;Joost N. Kok;Catuscia Palamidessi;Jan J. M. M. Rutten
Mohit Bhargava;Catuscia Palamidessi
M S Alvim;M E Andres;K Chatzikokolakis;P Degano
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 26
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