Yandex (Russia)

533 papers and 7.3k indexed citations i.

About

In recent decades, authors affiliated with Yandex (Russia) have published 533 papers, which have received a total of 7.3k indexed citations. Scholars at this organization have produced 97 papers in Artificial Intelligence, 66 papers in Molecular Biology and 56 papers in Computer Vision and Pattern Recognition on the topics of Topic Modeling (30 papers), Insect-Plant Interactions and Control (29 papers) and Complex Network Analysis Techniques (29 papers). Their work is cited by papers focused on Artificial Intelligence (2.2k citations), Computer Vision and Pattern Recognition (2.2k citations) and Molecular Biology (629 citations). Authors at Yandex (Russia) collaborate with scholars in Russia, United Kingdom and The Netherlands and have published in prestigious journals including The Astrophysical Journal, Bioinformatics and PLoS ONE. Some of Yandex (Russia)'s most productive authors include Victor Lempitsky, Liudmila Prokhorenkova, Gleb Gusev, Elena Voita, Aleksandr Vorobev, Andrey Gulin, Ivan Titov, Rico Sennrich, Artem Babenko and Dmitry Ulyanov.

In The Last Decade

Fields of papers published by authors at Yandex (Russia)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Yandex (Russia) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Yandex (Russia) at the time of their publication.

Countries citing scholars working at Yandex (Russia)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Yandex (Russia). 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 papers produced at Yandex (Russia) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yandex (Russia) 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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