Olga Kolesnikova

27 papers and 243 indexed citations i.

About

Olga Kolesnikova is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Olga Kolesnikova has authored 27 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Social Psychology. Recurrent topics in Olga Kolesnikova’s work include Natural Language Processing Techniques (14 papers), Topic Modeling (11 papers) and Speech and dialogue systems (5 papers). Olga Kolesnikova is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (11 papers) and Speech and dialogue systems (5 papers). Olga Kolesnikova collaborates with scholars based in Mexico, Germany and Russia. Olga Kolesnikova's co-authors include Christian K. Machens, Andreas V. M. Herz, Tim Gollisch, Alexander Gelbukh, Hartmut Schütze, Bernhard Ronacher, Martin Stemmler, Grigori Sidorov, Liliana Chanona-Hernández and Raúl Monroy and has published in prestigious journals such as Neuron, Nature Neuroscience and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Olga Kolesnikova i

Fields of papers citing papers by Olga Kolesnikova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Olga Kolesnikova

Since Specialization
Citations

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