Alexandra I. Kosachenko

48 total papers · 550 total citations
10 papers, 45 citations indexed

About

Alexandra I. Kosachenko is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Alexandra I. Kosachenko has authored 10 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Alexandra I. Kosachenko's work include Neural and Behavioral Psychology Studies (3 papers), EEG and Brain-Computer Interfaces (2 papers) and Geochemistry and Geologic Mapping (2 papers). Alexandra I. Kosachenko is often cited by papers focused on Neural and Behavioral Psychology Studies (3 papers), EEG and Brain-Computer Interfaces (2 papers) and Geochemistry and Geologic Mapping (2 papers). Alexandra I. Kosachenko collaborates with scholars based in Russia, Germany and United States. Alexandra I. Kosachenko's co-authors include Yuri G. Pavlov, Niko A. Busch, Sergey Malykh, Alexander Sergeev, Alexander Buevich, Alexander Medvedev, Andreas Keil, Irina Subbotina, Boris Kotchoubey and Gaëtan Mertens and has published in prestigious journals such as Scientific Reports, Journal of Experimental Psychology Learning Memory and Cognition and Psychophysiology.

In The Last Decade

Alexandra I. Kosachenko

7 papers receiving 42 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alexandra I. Kosachenko 25 10 7 4 4 10 45
Łukasz Michalczyk 24 1.0× 7 0.7× 13 1.9× 13 54
W. D. Niu 21 0.8× 21 2.1× 3 0.4× 1 0.3× 8 33
Laura C. Rice 18 0.7× 5 0.5× 4 0.6× 10 51
Hyoeun Bae 22 0.9× 7 0.7× 5 0.7× 11 48
Vishnu Sridhar 16 0.6× 16 1.6× 3 0.4× 1 0.3× 6 35
Monica Shieu 16 0.6× 17 1.7× 3 0.4× 11 66
Elizabeth Thompson 29 1.2× 10 1.0× 4 0.6× 1 0.3× 9 214
Ileana De Anda‐Duran 12 0.5× 6 0.6× 4 0.6× 16 50
Daniel E. P. Gomez 44 1.8× 7 0.7× 4 0.6× 7 52
Xuyun Sun 42 1.7× 2 0.2× 6 0.9× 6 55

Countries citing papers authored by Alexandra I. Kosachenko

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra I. Kosachenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra I. Kosachenko. 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 Alexandra I. Kosachenko. The network helps show where Alexandra I. Kosachenko may publish in the future.

Co-authorship network of co-authors of Alexandra I. Kosachenko

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra I. Kosachenko. A scholar is included among the top collaborators of Alexandra I. Kosachenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexandra I. Kosachenko. Alexandra I. Kosachenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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