A. V. Krichigin
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Computer Networks and Communications top 10%
- Co-authors
- N. V. AgudovBernardo SpagnoloDavide ValentiA. A. DubkovAngelo CarolloД. В. ГусейновAlexey MikhaylovA. I. Belov
- Topics
- stochastic dynamics and bifurcation (6 papers)Advanced Memory and Neural Computing (4 papers)Neural dynamics and brain function (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyCognitive Neuroscience
- Journals
- Chaos Solitons & FractalsInternational Journal of Bifurcation and ChaosJournal of Statistical Mechanics Theory and Experiment
- Partner nations
- RussiaItalySouth Korea
In The Last Decade
A. V. Krichigin
8 papers receiving 352 citations
Peers
Comparison fields: 5 of 47
- Statistical and Nonlinear Physics 215
- Electrical and Electronic Engineering 173
- Cognitive Neuroscience 98
- Cellular and Molecular Neuroscience 84
- Computer Networks and Communications 74
Countries citing papers authored by A. V. Krichigin
This map shows the geographic impact of A. V. Krichigin'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 A. V. Krichigin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. V. Krichigin more than expected).
Fields of papers citing papers by A. V. Krichigin
This network shows the impact of papers produced by A. V. Krichigin. 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 A. V. Krichigin. The network helps show where A. V. Krichigin may publish in the future.
Co-authorship network of co-authors of A. V. Krichigin
This figure shows the co-authorship network connecting the top 25 collaborators of A. V. Krichigin. A scholar is included among the top collaborators of A. V. Krichigin 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 A. V. Krichigin. A. V. Krichigin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 118 | |
| 3 | 31 | |
| 4 | 104 | |
| 5 | 2 | |
| 6 | 87 | |
| 7 | 5 | |
| 8 | 17 |
About A. V. Krichigin
A. V. Krichigin is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Global and Planetary Change, having authored 8 papers that have together received 376 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (6 papers), Advanced Memory and Neural Computing (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (215 citations), Statistics, Probability and Uncertainty (47 citations) and Cognitive Neuroscience (98 citations). A. V. Krichigin has collaborated with scholars based in Russia, Italy and South Korea. Frequent co-authors include N. V. Agudov, Bernardo Spagnolo, Davide Valenti, A. A. Dubkov, Angelo Carollo, Д. В. Гусейнов, Alexey Mikhaylov, A. I. Belov, M. N. Koryazhkina and J.B. Roldán. Their work appears in journals such as Chaos Solitons & Fractals, International Journal of Bifurcation and Chaos and Journal of Statistical Mechanics Theory and Experiment.
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.