Kirill Yakunin

40 total papers · 707 total citations
26 papers, 399 citations indexed

About

Kirill Yakunin is a scholar working on Artificial Intelligence, General Social Sciences and Control and Systems Engineering. According to data from OpenAlex, Kirill Yakunin has authored 26 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in General Social Sciences and 4 papers in Control and Systems Engineering. Recurrent topics in Kirill Yakunin's work include Computational and Text Analysis Methods (5 papers), Advanced Text Analysis Techniques (5 papers) and Geochemistry and Geologic Mapping (4 papers). Kirill Yakunin is often cited by papers focused on Computational and Text Analysis Methods (5 papers), Advanced Text Analysis Techniques (5 papers) and Geochemistry and Geologic Mapping (4 papers). Kirill Yakunin collaborates with scholars based in Kazakhstan, Latvia and Russia. Kirill Yakunin's co-authors include Ravil I. Mukhamediev, Yan Kuchin, Адилхан Сымагулов, Vitaly Levashenko, Elena Zaitseva, Yelena Popova, С. В. Киселева, Dmitry Sokolov, Yedilkhan Amirgaliyev and Vladimir Barakhnin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.

In The Last Decade

Kirill Yakunin

23 papers receiving 379 citations

Hit Papers

Review of Artificial Inte... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Kirill Yakunin 121 70 64 32 31 26 399
Ravil I. Mukhamediev 120 1.0× 87 1.2× 71 1.1× 35 1.1× 32 1.0× 34 439
Yan Kuchin 120 1.0× 69 1.0× 69 1.1× 33 1.0× 44 1.4× 31 411
Адилхан Сымагулов 92 0.8× 81 1.2× 69 1.1× 27 0.8× 24 0.8× 18 353
Phil Kim 124 1.0× 48 0.7× 51 0.8× 56 1.8× 37 1.2× 14 410
Mahdi Bahaghighat 120 1.0× 37 0.5× 73 1.1× 43 1.3× 14 0.5× 29 343
Mokhairi Makhtar 113 0.9× 25 0.4× 54 0.8× 34 1.1× 17 0.5× 60 445
Jharna Majumdar 110 0.9× 41 0.6× 160 2.5× 42 1.3× 13 0.4× 54 446
Jarot S. Suroso 47 0.4× 78 1.1× 70 1.1× 24 0.8× 8 0.3× 58 342
Chuanming Chen 121 1.0× 21 0.3× 28 0.4× 15 0.5× 18 0.6× 59 445
Kamran Ullah Khan 122 1.0× 54 0.8× 107 1.7× 23 0.7× 13 0.4× 12 439

Countries citing papers authored by Kirill Yakunin

Since Specialization
Citations

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

Fields of papers citing papers by Kirill Yakunin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kirill Yakunin

This figure shows the co-authorship network connecting the top 25 collaborators of Kirill Yakunin. A scholar is included among the top collaborators of Kirill Yakunin 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 Kirill Yakunin. Kirill Yakunin 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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