А. Н. Заикин
- Computer Networks and Communications top 1%
- Biomedical Engineering top 5%
- Statistical and Nonlinear Physics top 1%
- Molecular Biology
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- A.M. ZhabotinskyAndrzej L. KawczyńskiSergey G. KuznetsovA. M. ZhabotinskiiSergey VoinashВ.А. ВавилинV. A. Tverdislov
- Topics
- Forest Biomass Utilization and Management (5 papers)Nonlinear Dynamics and Pattern Formation (4 papers)Industrial Engineering and Technologies (3 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsCondensed Matter Physics
- Partner nations
- RussiaTajikistanSlovakia
In The Last Decade
А. Н. Заикин
12 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 1.3k
- Biomedical Engineering 493
- Statistical and Nonlinear Physics 476
- Molecular Biology 291
- Atomic and Molecular Physics, and Optics 267
Countries citing papers authored by А. Н. Заикин
This map shows the geographic impact of А. Н. Заикин'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 А. Н. Заикин with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites А. Н. Заикин more than expected).
Fields of papers citing papers by А. Н. Заикин
This network shows the impact of papers produced by А. Н. Заикин. 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 А. Н. Заикин. The network helps show where А. Н. Заикин may publish in the future.
Co-authorship network of co-authors of А. Н. Заикин
This figure shows the co-authorship network connecting the top 25 collaborators of А. Н. Заикин. A scholar is included among the top collaborators of А. Н. Заикин 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 А. Н. Заикин. А. Н. Заикин 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 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | Reducing industrial impact on forest ecosystems by improving the organization of harvesting operations. | 2 |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | An active-medium model of organic substance transformation in soil and its dynamic properties. | 1 |
| 13 | 5 | |
| 14 | 13 | |
| 15 | 212 | |
| 16 | Concentration Wave Propagation in Two-dimensional Liquid-phase Self-oscillating Systembreakdown → | 1441 |
| 17 | 1 |
About А. Н. Заикин
А. Н. Заикин is a scholar working on Industrial and Manufacturing Engineering, Nature and Landscape Conservation and Mechanics of Materials, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Forest Biomass Utilization and Management (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and Industrial Engineering and Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Statistical and Nonlinear Physics (476 citations) and Condensed Matter Physics (191 citations). А. Н. Заикин has collaborated with scholars based in Russia, Tajikistan and Slovakia. Frequent co-authors include A.M. Zhabotinsky, Andrzej L. Kawczyński, Sergey G. Kuznetsov, A. M. Zhabotinskii, Sergey Voinash, В.А. Вавилин and V. A. Tverdislov. Their work appears in journals such as Nature, Journal of Theoretical Biology and Journal of Non-Equilibrium Thermodynamics.
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.