Ksenia Konyushkova

About

Ksenia Konyushkova is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Ksenia Konyushkova has authored 8 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Ksenia Konyushkova’s work include Machine Learning and Algorithms (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Image Processing Techniques and Applications (2 papers). Ksenia Konyushkova is often cited by papers focused on Machine Learning and Algorithms (5 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Image Processing Techniques and Applications (2 papers). Ksenia Konyushkova collaborates with scholars based in Switzerland, Finland and United States. Ksenia Konyushkova's co-authors include Pascal Fua, Raphael Sznitman, Christoph H. Lampert, Vittorio Ferrari, Jasper Uijlings, Kumaripaba Athukorala, Samuel Kaski, Giulio Jacucci, Antti Oulasvirta and Dorota Głowacka and has published in prestigious journals such as Computer Vision and Image Understanding, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Ksenia Konyushkova i

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Fields of papers citing papers by Ksenia Konyushkova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ksenia Konyushkova

Since Specialization

Citations

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