Tatiana Kalganova

75 papers and 443 indexed citations i.

About

Tatiana Kalganova is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Tatiana Kalganova has authored 75 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Theory and Mathematics. Recurrent topics in Tatiana Kalganova’s work include Metaheuristic Optimization Algorithms Research (31 papers), Evolutionary Algorithms and Applications (27 papers) and Vehicle Routing Optimization Methods (7 papers). Tatiana Kalganova is often cited by papers focused on Metaheuristic Optimization Algorithms Research (31 papers), Evolutionary Algorithms and Applications (27 papers) and Vehicle Routing Optimization Methods (7 papers). Tatiana Kalganova collaborates with scholars based in United Kingdom, Russia and United States. Tatiana Kalganova's co-authors include Julian F. Miller, A.E.A. Almaini, Maysam Abbod, Vasile Palade, M. Nazmul Huda, P. Broomhead, Frank Baganz, J. R. Leigh, W.A.C. Fernando and Richard A. Ott and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Tatiana Kalganova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tatiana Kalganova

Since Specialization
Citations

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