Vladimir K. Vanag
- Computer Networks and Communications top 0.2%
- Biomedical Engineering top 2%
- Statistical and Nonlinear Physics top 0.5%
- Atomic and Molecular Physics, and Optics top 5%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Irving R. EpsteinAnatol M. ZhabotinskyMasahiro ToiyaAkiko KaminagaLingfa YangMiloš DolnikTamás BánságiIchiro Hanazaki
- Topics
- Nonlinear Dynamics and Pattern Formation (88 papers)Photoreceptor and optogenetics research (32 papers)Spectroscopy and Quantum Chemical Studies (29 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsCondensed Matter Physics
- Partner nations
- United StatesRussiaItaly
In The Last Decade
Vladimir K. Vanag
102 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 100
- Computer Networks and Communications 2.8k
- Biomedical Engineering 1.0k
- Statistical and Nonlinear Physics 909
- Atomic and Molecular Physics, and Optics 667
- Cellular and Molecular Neuroscience 660
Countries citing papers authored by Vladimir K. Vanag
This map shows the geographic impact of Vladimir K. Vanag'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 Vladimir K. Vanag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir K. Vanag more than expected).
Fields of papers citing papers by Vladimir K. Vanag
This network shows the impact of papers produced by Vladimir K. Vanag. 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 Vladimir K. Vanag. The network helps show where Vladimir K. Vanag may publish in the future.
Co-authorship network of co-authors of Vladimir K. Vanag
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir K. Vanag. A scholar is included among the top collaborators of Vladimir K. Vanag 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 Vladimir K. Vanag. Vladimir K. Vanag 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 | 5 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | Belousov-Zhabotinsky "chemical neuron" as a binary and fuzzy logic processor | 41 |
| 6 | 5 | |
| 7 | 68 | |
| 8 | 43 | |
| 9 | 29 | |
| 10 | 9 | |
| 11 | 20 | |
| 12 | 46 | |
| 13 | 13 | |
| 14 | 126 | |
| 15 | 237 | |
| 16 | 86 | |
| 17 | 17 | |
| 18 | 82 | |
| 19 | 110 | |
| 20 | 47 |
About Vladimir K. Vanag
Vladimir K. Vanag is a scholar working on Computer Networks and Communications, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 103 papers that have together received 3.8k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (88 papers), Photoreceptor and optogenetics research (32 papers) and Spectroscopy and Quantum Chemical Studies (29 papers). The work is most often cited by research in Computer Networks and Communications (2.8k citations), Statistical and Nonlinear Physics (909 citations) and Condensed Matter Physics (445 citations). Vladimir K. Vanag has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include Irving R. Epstein, Anatol M. Zhabotinsky, Masahiro Toiya, Akiko Kaminaga, Lingfa Yang, Miloš Dolnik, Tamás Bánsági, Ichiro Hanazaki, Viktor Horváth and Pier Luigi Gentili. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.