S. I. Denisov
- Statistical and Nonlinear Physics top 0.5%
- Atomic and Molecular Physics, and Optics top 5%
- Molecular Biology
- Modeling and Simulation top 0.5%
- Condensed Matter Physics top 5%
- Co-authors
- Vasily ZaburdaevJ. KlafterPeter HänggiWerner HorsthemkeHölger KantzAntonio PolitiK. N. TrohidouSergej Flach
- Topics
- stochastic dynamics and bifurcation (38 papers)Theoretical and Computational Physics (21 papers)Characterization and Applications of Magnetic Nanoparticles (15 papers)
- Partner nations
- UkraineGermanyUnited States
In The Last Decade
S. I. Denisov
74 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Statistical and Nonlinear Physics 833
- Atomic and Molecular Physics, and Optics 451
- Molecular Biology 442
- Modeling and Simulation 371
- Condensed Matter Physics 338
Countries citing papers authored by S. I. Denisov
This map shows the geographic impact of S. I. Denisov'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 S. I. Denisov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. I. Denisov more than expected).
Fields of papers citing papers by S. I. Denisov
This network shows the impact of papers produced by S. I. Denisov. 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 S. I. Denisov. The network helps show where S. I. Denisov may publish in the future.
Co-authorship network of co-authors of S. I. Denisov
This figure shows the co-authorship network connecting the top 25 collaborators of S. I. Denisov. A scholar is included among the top collaborators of S. I. Denisov 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 S. I. Denisov. S. I. Denisov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 16 | |
| 3 | 36 | |
| 4 | 10 | |
| 5 | Power Loss of the Nanoparticle Magnetic Moment in Alternating Fields | 1 |
| 6 | 50 | |
| 7 | 20 | |
| 8 | 20 | |
| 9 | 33 | |
| 10 | 9 | |
| 11 | 34 | |
| 12 | 19 | |
| 13 | 14 | |
| 14 | 17 | |
| 15 | Dipolar interaction effects on the thermally activated magnetic relaxation of two-dimensional nanoparticle ensembles | 3 |
| 16 | 40 | |
| 17 | 21 | |
| 18 | 15 | |
| 19 | Temperature-dependent Landau-Lifshitz equation | 1 |
| 20 | Domain-wall drift in an oscillating magnetic field | 1 |
About S. I. Denisov
S. I. Denisov is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Condensed Matter Physics, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (38 papers), Theoretical and Computational Physics (21 papers) and Characterization and Applications of Magnetic Nanoparticles (15 papers). The work is most often cited by research in Modeling and Simulation (371 citations), Statistical and Nonlinear Physics (833 citations) and Condensed Matter Physics (338 citations). S. I. Denisov has collaborated with scholars based in Ukraine, Germany and United States. Frequent co-authors include Vasily Zaburdaev, J. Klafter, Peter Hänggi, Werner Horsthemke, Hölger Kantz, Antonio Politi, K. N. Trohidou, Sergej Flach, L. Morales-Molina and Michael Urbakh. Their work appears in journals such as Physical Review Letters, Reviews of Modern Physics and Physical review. B, Condensed matter.
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.