Tatiana Gabruseva

About

Tatiana Gabruseva is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tatiana Gabruseva has authored 4 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tatiana Gabruseva’s work include Advanced Neural Network Applications (2 papers), COVID-19 diagnosis using AI (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Tatiana Gabruseva is often cited by papers focused on Advanced Neural Network Applications (2 papers), COVID-19 diagnosis using AI (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Tatiana Gabruseva collaborates with scholars based in United States, Russia and Ireland. Tatiana Gabruseva's co-authors include Roman Solovyev, Weimin Wang, Alexandr A. Kalinin and Peter Wang and has published in prestigious journals such as Computers in Biology and Medicine, Image and Vision Computing and Journal of Astronomical Instrumentation.

In The Last Decade

Co-authorship network of co-authors of Tatiana Gabruseva i

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Fields of papers citing papers by Tatiana Gabruseva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tatiana Gabruseva

Since Specialization

Citations

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