Maria Valueva

19 papers and 357 indexed citations i.

About

Maria Valueva is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Maria Valueva has authored 19 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Information Systems and 6 papers in Artificial Intelligence. Recurrent topics in Maria Valueva’s work include Cryptography and Residue Arithmetic (10 papers), Coding theory and cryptography (4 papers) and Cryptographic Implementations and Security (4 papers). Maria Valueva is often cited by papers focused on Cryptography and Residue Arithmetic (10 papers), Coding theory and cryptography (4 papers) and Cryptographic Implementations and Security (4 papers). Maria Valueva collaborates with scholars based in Russia, Bulgaria and China. Maria Valueva's co-authors include Pavel Lyakhov, Georgii Valuev, Nikolay Nagornov, N.I. Chervyakov, Dmitrii Kaplun, Maxim Deryabin, Peter Boyvalenkov, Aleksandr Sinitca, Mikhail Babenko and Andrei Tchernykh and has published in prestigious journals such as IEEE Access, Neurocomputing and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Maria Valueva i

Fields of papers citing papers by Maria Valueva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Valueva

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025