Marie-Sarah Lacharité

About

Marie-Sarah Lacharité is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Marie-Sarah Lacharité has authored 7 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Marie-Sarah Lacharité’s work include Cryptography and Data Security (6 papers), Chaos-based Image/Signal Encryption (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Marie-Sarah Lacharité is often cited by papers focused on Cryptography and Data Security (6 papers), Chaos-based Image/Signal Encryption (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Marie-Sarah Lacharité collaborates with scholars based in United Kingdom, United States and Burundi. Marie-Sarah Lacharité's co-authors include Kenneth G. Paterson, Brice Minaud, Paul Grubbs, Thomas Ristenpart, Lucy Li, Anurag Khandelwal and Rachit Agarwal and has published in prestigious journals such as Cryptography and Communications, IACR Transactions on Symmetric Cryptology and USENIX Security Symposium.

In The Last Decade

Co-authorship network of co-authors of Marie-Sarah Lacharité i

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Fields of papers citing papers by Marie-Sarah Lacharité

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Sarah Lacharité. 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 Marie-Sarah Lacharité. The network helps show where Marie-Sarah Lacharité may publish in the future.

Countries citing papers authored by Marie-Sarah Lacharité

Since Specialization

Citations

This map shows the geographic impact of Marie-Sarah Lacharité'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 Marie-Sarah Lacharité with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie-Sarah Lacharité more than expected).

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.

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