Alexander P. Nikitin
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Sergei EgorovIlya MazoNikolai DaraseliaN. G. StocksAnton YuryevAdi R. BulsaraRobert P. MorseNigel G. Stocks
- Topics
- stochastic dynamics and bifurcation (21 papers)Nonlinear Dynamics and Pattern Formation (12 papers)Neural dynamics and brain function (11 papers)
- Partner nations
- United KingdomRussiaUnited States
In The Last Decade
Alexander P. Nikitin
38 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 584
- Statistical and Nonlinear Physics 160
- Artificial Intelligence 125
- Cognitive Neuroscience 119
- Atomic and Molecular Physics, and Optics 96
Countries citing papers authored by Alexander P. Nikitin
This map shows the geographic impact of Alexander P. Nikitin'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 Alexander P. Nikitin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander P. Nikitin more than expected).
Fields of papers citing papers by Alexander P. Nikitin
This network shows the impact of papers produced by Alexander P. Nikitin. 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 Alexander P. Nikitin. The network helps show where Alexander P. Nikitin may publish in the future.
Co-authorship network of co-authors of Alexander P. Nikitin
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander P. Nikitin. A scholar is included among the top collaborators of Alexander P. Nikitin 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 Alexander P. Nikitin. Alexander P. Nikitin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 34 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | 17 | |
| 11 | 66 | |
| 12 | 167 | |
| 13 | 1 | |
| 14 | 20 | |
| 15 | Pathway studio—the analysis and navigation of molecular networksbreakdown → | 519 |
| 16 | 20 | |
| 17 | 31 | |
| 18 | 21 | |
| 19 | 2 | |
| 20 | 5 |
About Alexander P. Nikitin
Alexander P. Nikitin is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (21 papers), Nonlinear Dynamics and Pattern Formation (12 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (160 citations), Molecular Biology (584 citations) and Cognitive Neuroscience (119 citations). Alexander P. Nikitin has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include Sergei Egorov, Ilya Mazo, Nikolai Daraselia, N. G. Stocks, Anton Yuryev, Adi R. Bulsara, Robert P. Morse, Nigel G. Stocks, Zoltán Néda and Tamás Vicsek. Their work appears in journals such as Physical Review Letters, Bioinformatics and BMC Bioinformatics.
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.