Alexander N. Gorban
- Statistical and Nonlinear Physics top 0.5%
- Advanced Thermodynamics and Statistical Mechanics 43
- Statistical Mechanics and Entropy 12
- Computational Mechanics top 0.5%
- Lattice Boltzmann Simulation Studies 13
- Fluid Dynamics and Turbulent Flows 13
- Applied Mathematics top 2%
- Gas Dynamics and Kinetic Theory 20
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- Neural Networks and Applications 25
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- Nonlinear Dynamics and Pattern Formation 14
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- Gene Regulatory Network Analysis 11
- Co-authors
- Iliya V. KarlinAndreï ZinovyevI. V. KarlinEvgeny M. MirkesIvan TyukinJeremy LevesleyDonald C. WunschBalázs Kégl
- Partner nations
- United KingdomRussiaFrance
In The Last Decade
Alexander N. Gorban
211 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 197
- Statistical and Nonlinear Physics 871
- Computational Mechanics 1.2k
- Fluid Flow and Transfer Processes 263
- Applied Mathematics 358
- Computer Vision and Pattern Recognition 490
Countries citing papers authored by Alexander N. Gorban
This map shows the geographic impact of Alexander N. Gorban'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 N. Gorban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander N. Gorban more than expected).
Fields of papers citing papers by Alexander N. Gorban
This network shows the impact of papers produced by Alexander N. Gorban. 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 N. Gorban. The network helps show where Alexander N. Gorban may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander N. Gorban, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 27 | |
| 5 | 2020 | 35 | |
| 6 | 2019 | 69 | |
| 7 | 2018 | 12 | |
| 8 | 2015 | 9 | |
| 9 | 2013 | 2 | |
| 10 | QE+QSS for Derivation of Kinetic Equations and Stiffness Removing | 2010 | 1 |
| 11 | 2008 | 33 | |
| 12 | 2008 | 64 | |
| 13 | 2004 | 5 | |
| 14 | 2002 | 39 | |
| 15 | Neural network modeling of data with gaps | 2000 | 3 |
| 16 | " MULTINEURON " NEURAL SIMULATOR AND ITS MEDICAL APPLICATIONS | 1994 | 1 |
| 17 | Structure and approximation of the Chapman-Enskog expansion for linearized Grad equations | 1991 | 11 |
| 18 | 1989 | 4 | |
| 19 | Electroconductivity and chemomagnetic effect during hydrogen-atom recombination on a germanium surface | 1979 | 1 |
| 20 | Pulverization of zinc sulfide phosphors during excitation of radical-recombination luminescence by atomic hydrogen | 1975 | 1 |
About Alexander N. Gorban
Alexander N. Gorban is a scholar working on Statistical and Nonlinear Physics, Nuclear Energy and Engineering and Applied Mathematics, having authored 221 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (43 papers), Neural Networks and Applications (25 papers), Gas Dynamics and Kinetic Theory (20 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Lattice Boltzmann Simulation Studies (13 papers), Fluid Dynamics and Turbulent Flows (13 papers), Statistical Mechanics and Entropy (12 papers) and Gene Regulatory Network Analysis (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (871 citations), Computational Mechanics (1.2k citations) and Fluid Flow and Transfer Processes (263 citations). Alexander N. Gorban has collaborated with scholars based in United Kingdom, Russia and France. Frequent co-authors include Iliya V. Karlin, Andreï Zinovyev, I. V. Karlin, Evgeny M. Mirkes, Ivan Tyukin, Jeremy Levesley, Donald C. Wunsch, Balázs Kégl, Ovidiu Radulescu and G.S. Yablonsky. Their work appears in journals such as Physical Review Letters, Nature Communications and PLoS ONE.
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.