Р. Р. Нигматуллин
- Modeling and Simulation top 0.1%
- Fractional Differential Equations Solutions 23
- Numerical Analysis top 1%
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- Statistical Mechanics and Entropy 23
- Applied Mathematics top 2%
- Mathematical Physics top 5%
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- Material Dynamics and Properties 35
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- Theoretical and Computational Physics 30
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- Complex Systems and Time Series Analysis 23
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- Advanced Chemical Sensor Technologies 16
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- Spectroscopy and Chemometric Analyses 14
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- Electrochemical Analysis and Applications 13
- Co-authors
- A. A. KhamzinDumitru BǎleanuИ. И. ПоповYa. E. RyabovAlain Le MéhautéGeoff SmithS.O. NelsonAlireza Khalili Golmankhaneh
In The Last Decade
Р. Р. Нигматуллин
179 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Modeling and Simulation 1.3k
- Numerical Analysis 491
- Statistical and Nonlinear Physics 640
- Applied Mathematics 335
- Mathematical Physics 257
Countries citing papers authored by Р. Р. Нигматуллин
This map shows the geographic impact of Р. Р. Нигматуллин'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 Р. Р. Нигматуллин with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Р. Р. Нигматуллин more than expected).
Fields of papers citing papers by Р. Р. Нигматуллин
This network shows the impact of papers produced by Р. Р. Нигматуллин. 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 Р. Р. Нигматуллин. The network helps show where Р. Р. Нигматуллин may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Р. Р. Нигматуллин, 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 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 0 | |
| 6 | 2019 | 14 | |
| 7 | 2019 | 1 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 4 | |
| 14 | How to reduce reproducible measurements to an ideal experiment | 2014 | 2 |
| 15 | 2014 | 7 | |
| 16 | 2014 | 68 | |
| 17 | 2013 | 3 | |
| 18 | 2012 | 11 | |
| 19 | 2001 | 27 | |
| 20 | 1988 | 0 |
About Р. Р. Нигматуллин
Р. Р. Нигматуллин is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics, Condensed Matter Physics, Electrochemistry and Fluid Flow and Transfer Processes, having authored 188 papers that have together received 3.1k indexed citations. Recurring topics across this work include Material Dynamics and Properties (35 papers), Theoretical and Computational Physics (30 papers), Fractional Differential Equations Solutions (23 papers), Statistical Mechanics and Entropy (23 papers), Complex Systems and Time Series Analysis (23 papers), Advanced Chemical Sensor Technologies (16 papers), Spectroscopy and Chemometric Analyses (14 papers) and Electrochemical Analysis and Applications (13 papers). The work is most often cited by research in Modeling and Simulation (1.3k citations), Numerical Analysis (491 citations), Statistical and Nonlinear Physics (640 citations), Applied Mathematics (335 citations) and Mathematical Physics (257 citations). Р. Р. Нигматуллин has collaborated with scholars based in Russia, Türkiye and Romania. Frequent co-authors include A. A. Khamzin, Dumitru Bǎleanu, И. И. Попов, Ya. E. Ryabov, Alain Le Méhauté, Geoff Smith, S.O. Nelson, Alireza Khalili Golmankhaneh, Ali Khalili Golmankhaneh and L. A. Dissado. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Physica A Statistical Mechanics and its Applications, Journal of Non-Crystalline Solids, physica status solidi (b) and Fractional Calculus and Applied Analysis.
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.