Denis S. Goldobin
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 1%
- Cognitive Neuroscience top 5%
- Computational Mechanics top 10%
- Global and Planetary Change
- Co-authors
- Arkady PikovskyMichael G. RosenblumJun-nosuke TeramaeHiroya NakaoNikolai V. BrilliantovBard ErmentroutMatteo di VoloAlessandro Torcini
- Topics
- Nonlinear Dynamics and Pattern Formation (42 papers)stochastic dynamics and bifurcation (32 papers)Neural dynamics and brain function (20 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Partner nations
- RussiaUnited KingdomGermany
In The Last Decade
Denis S. Goldobin
71 papers receiving 974 citations
Peers
Comparison fields: 5 of 64
- Computer Networks and Communications 628
- Statistical and Nonlinear Physics 558
- Cognitive Neuroscience 365
- Computational Mechanics 106
- Global and Planetary Change 102
Countries citing papers authored by Denis S. Goldobin
This map shows the geographic impact of Denis S. Goldobin'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 Denis S. Goldobin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis S. Goldobin more than expected).
Fields of papers citing papers by Denis S. Goldobin
This network shows the impact of papers produced by Denis S. Goldobin. 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 Denis S. Goldobin. The network helps show where Denis S. Goldobin may publish in the future.
Co-authorship network of co-authors of Denis S. Goldobin
This figure shows the co-authorship network connecting the top 25 collaborators of Denis S. Goldobin. A scholar is included among the top collaborators of Denis S. Goldobin 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 Denis S. Goldobin. Denis S. Goldobin 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 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 18 | |
| 14 | 10 | |
| 15 | Effect of Temperature Wave on the Gas Transport in Liquid-Saturated Porous Media | 1 |
| 16 | 5 | |
| 17 | An Uncertainty Principle for Ensembles of Oscillators Driven by Common Noise | 1 |
| 18 | 18 | |
| 19 | Diffusive Accumulation of Methane Bubbles in Deep-Water Sediments | 0 |
| 20 | Diffusive Migration of Mass in Bubbly Media | 1 |
About Denis S. Goldobin
Denis S. Goldobin is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Environmental Chemistry, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (42 papers), stochastic dynamics and bifurcation (32 papers) and Neural dynamics and brain function (20 papers). The work is most often cited by research in Statistical and Nonlinear Physics (558 citations), Computer Networks and Communications (628 citations) and Cognitive Neuroscience (365 citations). Denis S. Goldobin has collaborated with scholars based in Russia, United Kingdom and Germany. Frequent co-authors include Arkady Pikovsky, Michael G. Rosenblum, Jun-nosuke Teramae, Hiroya Nakao, Nikolai V. Brilliantov, Bard Ermentrout, Matteo di Volo, Alessandro Torcini, Alan M. Haywood and Stephen J. Hunter. Their work appears in journals such as Physical Review Letters, Scientific Reports and Earth and Planetary Science Letters.
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.