Andrei Yu. Khrennikov
- Mathematical Physics top 0.5%
- Computational Theory and Mathematics top 0.5%
- Applied Mathematics top 2%
- Physiology top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- С. В. КозыревV. M. ShelkovichSergio AlbeverioБранко ДраговичИ. В. ВоловичM. SkopinaAnatoly N. KochubeiVladimir Anashin
- Topics
- advanced mathematical theories (82 papers)Topological and Geometric Data Analysis (30 papers)Biofield Effects and Biophysics (19 papers)
In The Last Decade
Andrei Yu. Khrennikov
83 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 61
- Mathematical Physics 1.3k
- Computational Theory and Mathematics 639
- Applied Mathematics 288
- Physiology 253
- Computer Vision and Pattern Recognition 206
Countries citing papers authored by Andrei Yu. Khrennikov
This map shows the geographic impact of Andrei Yu. Khrennikov'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 Andrei Yu. Khrennikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Yu. Khrennikov more than expected).
Fields of papers citing papers by Andrei Yu. Khrennikov
This network shows the impact of papers produced by Andrei Yu. Khrennikov. 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 Andrei Yu. Khrennikov. The network helps show where Andrei Yu. Khrennikov may publish in the future.
Co-authorship network of co-authors of Andrei Yu. Khrennikov
This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Yu. Khrennikov. A scholar is included among the top collaborators of Andrei Yu. Khrennikov 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 Andrei Yu. Khrennikov. Andrei Yu. Khrennikov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 19 | |
| 4 | 14 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | 38 | |
| 8 | 9 | |
| 9 | 59 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 21 | |
| 13 | Logical approach to p-adic probabilities | 13 |
| 14 | 58 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 26 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | 1 |
About Andrei Yu. Khrennikov
Andrei Yu. Khrennikov is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include advanced mathematical theories (82 papers), Topological and Geometric Data Analysis (30 papers) and Biofield Effects and Biophysics (19 papers). The work is most often cited by research in Mathematical Physics (1.3k citations), Computational Theory and Mathematics (639 citations) and Applied Mathematics (288 citations). Andrei Yu. Khrennikov has collaborated with scholars based in Sweden, Russia and Germany. Frequent co-authors include С. В. Козырев, V. M. Shelkovich, Sergio Albeverio, Бранко Драгович, И. В. Волович, M. Skopina, Anatoly N. Kochubei, Vladimir Anashin, Klaudia Oleschko and Roberto Cianci. Their work appears in journals such as Scientific Reports, Journal of Theoretical Biology and Journal of Mathematical Analysis and Applications.
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.