Ekaterina Tolstaya

About

Ekaterina Tolstaya is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Ekaterina Tolstaya has authored 6 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Ekaterina Tolstaya’s work include Advanced Graph Neural Networks (2 papers), Advanced Memory and Neural Computing (2 papers) and Reinforcement Learning in Robotics (2 papers). Ekaterina Tolstaya is often cited by papers focused on Advanced Graph Neural Networks (2 papers), Advanced Memory and Neural Computing (2 papers) and Reinforcement Learning in Robotics (2 papers). Ekaterina Tolstaya collaborates with scholars based in United States and United Kingdom. Ekaterina Tolstaya's co-authors include Alejandro Ribeiro, Fernando Gama, Vijay Kumar, James Paulos, Carlton Downey, Thomas E. Winkler, Sowmya Subramanian, Reza Ghodssi, Dragomir Anguelov and William E. Bentley and has published in prestigious journals such as ACS Applied Materials & Interfaces, IEEE Transactions on Signal Processing and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Ekaterina Tolstaya i

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Fields of papers citing papers by Ekaterina Tolstaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ekaterina Tolstaya

Since Specialization

Citations

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