Natalia Derbentseva

7 papers and 210 indexed citations i.

About

Natalia Derbentseva is a scholar working on Artificial Intelligence, Education and Experimental and Cognitive Psychology. According to data from OpenAlex, Natalia Derbentseva has authored 7 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Education and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Natalia Derbentseva’s work include Innovation and Knowledge Management (2 papers), Science Education and Pedagogy (2 papers) and Visual and Cognitive Learning Processes (1 paper). Natalia Derbentseva is often cited by papers focused on Innovation and Knowledge Management (2 papers), Science Education and Pedagogy (2 papers) and Visual and Cognitive Learning Processes (1 paper). Natalia Derbentseva collaborates with scholars based in Canada and United States. Natalia Derbentseva's co-authors include Frank Safayeni, Alberto J. Cañas, Peter J. Kwantes, P. Robert Duimering, Bing Ran, Oshin Vartanian, Quan Lam, Harvey H. C. Marmurek and Laura Huey and has published in prestigious journals such as Communications of the ACM, Personality and Individual Differences and Journal of Research in Science Teaching.

In The Last Decade

Co-authorship network of co-authors of Natalia Derbentseva i

Fields of papers citing papers by Natalia Derbentseva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Natalia Derbentseva

Since Specialization
Citations

This map shows the geographic impact of Natalia Derbentseva'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 Natalia Derbentseva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Derbentseva 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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2025