Alla Sekunova

11 papers and 213 indexed citations i.

About

Alla Sekunova is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Alla Sekunova has authored 11 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Alla Sekunova’s work include Face Recognition and Perception (6 papers), Face recognition and analysis (4 papers) and Neurobiology of Language and Bilingualism (3 papers). Alla Sekunova is often cited by papers focused on Face Recognition and Perception (6 papers), Face recognition and analysis (4 papers) and Neurobiology of Language and Bilingualism (3 papers). Alla Sekunova collaborates with scholars based in Canada, United States and Germany. Alla Sekunova's co-authors include Jason J.S. Barton, Giuseppe Iaria, Claire A. Sheldon, Christopher J. Fox, Mathias Abegg, Michael Scheel, Brad Duchaine, Samantha H. Johnston, Raika Pancaroglu and Jason J.S. Barton and has published in prestigious journals such as Neuropsychologia, Journal of Cognitive Neuroscience and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Co-authorship network of co-authors of Alla Sekunova i

Fields of papers citing papers by Alla Sekunova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alla Sekunova

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025