Mariana Raykova

27 papers and 1.5k indexed citations i.

About

Mariana Raykova is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mariana Raykova has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mariana Raykova’s work include Cryptography and Data Security (21 papers), Privacy-Preserving Technologies in Data (11 papers) and Combinatorial Optimization and Complexity Theory (7 papers). Mariana Raykova is often cited by papers focused on Cryptography and Data Security (21 papers), Privacy-Preserving Technologies in Data (11 papers) and Combinatorial Optimization and Complexity Theory (7 papers). Mariana Raykova collaborates with scholars based in United States, United Kingdom and Germany. Mariana Raykova's co-authors include Craig Gentry, Mahnush Movahedi, Mahdi Zamani, Bryan Parno, Jon Howell, Adrià Gascón, Shai Halevi, Brent Waters, Amit Sahai and Sanjam Garg and has published in prestigious journals such as Communications of the ACM, SIAM Journal on Computing and Journal of Cryptology.

In The Last Decade

Co-authorship network of co-authors of Mariana Raykova i

Fields of papers citing papers by Mariana Raykova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariana Raykova. 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 Mariana Raykova. The network helps show where Mariana Raykova may publish in the future.

Countries citing papers authored by Mariana Raykova

Since Specialization
Citations

This map shows the geographic impact of Mariana Raykova'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 Mariana Raykova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariana Raykova 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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