Kirill Yakunin
- Artificial Intelligence top 10%
- Aerospace Engineering
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Mechanical Engineering
- Co-authors
- Ravil I. MukhamedievYan KuchinАдилхан СымагуловElena ZaitsevaVitaly LevashenkoYelena PopovaYedilkhan AmirgaliyevDmitry Sokolov
- Topics
- Advanced Text Analysis Techniques (5 papers)Computational and Text Analysis Methods (5 papers)Mineral Processing and Grinding (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessApplied Sciences
- Partner nations
- KazakhstanLatviaRussia
In The Last Decade
Kirill Yakunin
23 papers receiving 393 citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 123
- Aerospace Engineering 70
- Computer Vision and Pattern Recognition 64
- Control and Systems Engineering 32
- Mechanical Engineering 31
Countries citing papers authored by Kirill Yakunin
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 67 | |
| 4 | Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challengesbreakdown → | 132 |
| 5 | 32 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 54 | |
| 9 | Identification of Propaganda Documents in the News Text Corpоra | 1 |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 27 |
About Kirill Yakunin
Kirill Yakunin is a scholar working on General Social Sciences, General Energy and Artificial Intelligence, having authored 26 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (5 papers), Computational and Text Analysis Methods (5 papers) and Mineral Processing and Grinding (4 papers). The work is most often cited by research in Health Informatics (21 citations), General Social Sciences (19 citations) and Artificial Intelligence (123 citations). Kirill Yakunin has collaborated with scholars based in Kazakhstan, Latvia and Russia. Frequent co-authors include Ravil I. Mukhamediev, Yan Kuchin, Адилхан Сымагулов, Elena Zaitseva, Vitaly Levashenko, Yelena Popova, Yedilkhan Amirgaliyev, Dmitry Sokolov, С. В. Киселева and Rustam Mussabayev. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.
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.