R. A. Ibrayev

505 total citations
32 papers, 290 citations indexed

About

R. A. Ibrayev is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, R. A. Ibrayev has authored 32 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oceanography, 19 papers in Atmospheric Science and 14 papers in Global and Planetary Change. Recurrent topics in R. A. Ibrayev's work include Oceanographic and Atmospheric Processes (24 papers), Climate variability and models (12 papers) and Arctic and Antarctic ice dynamics (12 papers). R. A. Ibrayev is often cited by papers focused on Oceanographic and Atmospheric Processes (24 papers), Climate variability and models (12 papers) and Arctic and Antarctic ice dynamics (12 papers). R. A. Ibrayev collaborates with scholars based in Russia, Ukraine and Türkiye. R. A. Ibrayev's co-authors include Halil İbrahim Sur, Corinna Schrum, Emi̇n Özsoy, Konstantin Belyaev, Г. К. Коротаев, V. V. Knysh, A. V. Gusev, E. M. Volodin, Nikolay Iakovlev and M. A. Tolstykh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geoscientific model development and Ocean science.

In The Last Decade

R. A. Ibrayev

28 papers receiving 277 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. A. Ibrayev Russia 10 240 143 103 55 41 32 290
Özgür Gürses Germany 8 175 0.7× 126 0.9× 160 1.6× 10 0.2× 11 0.3× 20 290
Akifumi Shimamoto Japan 11 270 1.1× 180 1.3× 58 0.6× 12 0.2× 16 0.4× 13 352
Rosie L. Oakes United States 8 108 0.5× 59 0.4× 78 0.8× 72 1.3× 7 0.2× 16 217
Rena Czeschel Germany 9 370 1.5× 97 0.7× 118 1.1× 9 0.2× 9 0.2× 17 397
Sylvain Watelet Belgium 5 308 1.3× 107 0.7× 161 1.6× 11 0.2× 5 0.1× 11 401
Gianna Battaglia Switzerland 7 128 0.5× 148 1.0× 67 0.7× 21 0.4× 10 0.2× 11 246
Nikolaos Zarokanellos Spain 10 323 1.3× 86 0.6× 176 1.7× 11 0.2× 7 0.2× 23 381
Jong Yul Chung South Korea 8 279 1.2× 183 1.3× 146 1.4× 7 0.1× 18 0.4× 10 343
Fabrice Lacroix Germany 8 208 0.9× 90 0.6× 87 0.8× 5 0.1× 9 0.2× 11 315
М. А. Науменко Russia 8 104 0.4× 113 0.8× 26 0.3× 5 0.1× 33 0.8× 37 205

Countries citing papers authored by R. A. Ibrayev

Since Specialization
Citations

This map shows the geographic impact of R. A. Ibrayev'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 R. A. Ibrayev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. A. Ibrayev more than expected).

Fields of papers citing papers by R. A. Ibrayev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. A. Ibrayev. 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 R. A. Ibrayev. The network helps show where R. A. Ibrayev may publish in the future.

Co-authorship network of co-authors of R. A. Ibrayev

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. Ibrayev. A scholar is included among the top collaborators of R. A. Ibrayev 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 R. A. Ibrayev. R. A. Ibrayev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ibrayev, R. A., et al.. (2023). Concrete Autoencoder for the Reconstruction of Sea Temperature Field from Sparse Measurements. Journal of Marine Science and Engineering. 11(2). 404–404.
2.
Ibrayev, R. A., et al.. (2020). High-resolution data on mesoscale dynamics of the Caspian Sea upper layer, obtained in a numerical reconstruction. SHILAP Revista de lepidopterología. 30. 105368–105368. 2 indexed citations
3.
Ibrayev, R. A., et al.. (2019). Dynamics of the Caspian Sea Waters over the Apsheron Sill in 2003. SHILAP Revista de lepidopterología. 26(6). 2 indexed citations
4.
Ibrayev, R. A., et al.. (2019). Long-term evolution of Caspian Sea thermohaline properties reconstructed in an eddy-resolving ocean general circulation model. Ocean science. 15(3). 527–541. 10 indexed citations
5.
Ibrayev, R. A., et al.. (2019). Study of Sensitivity of the Algorithm for Assimilating Small Amount of Data in the Ocean Dynamics Model. Morskoy gidrofizicheskiy zhurnal. 35(2).
6.
Ibrayev, R. A., et al.. (2019). Dynamics of the Caspian Sea Waters over the Apsheron Sill in 2003. Morskoy gidrofizicheskiy zhurnal. 35(6). 1 indexed citations
7.
Ibrayev, R. A., et al.. (2019). The Role of Eddies in Global Oceanic Meridional Heat Transport. Doklady Earth Sciences. 486(1). 554–557. 1 indexed citations
8.
Ibrayev, R. A., et al.. (2018). Long-Term Evolution of the Caspian Sea Thermohaline Properties Reconstructed in an Eddy-Resolving OGCM. Biogeosciences (European Geosciences Union). 1 indexed citations
9.
Ibrayev, R. A., et al.. (2018). Compact Modeling Framework v3.0 for high-resolution global ocean–ice–atmosphere models. Geoscientific model development. 11(10). 3983–3997. 11 indexed citations
10.
Tolstykh, M. A., et al.. (2018). Design and development of the SLAV-INMIO-CICE coupled model for seasonal prediction and climate research. Russian Journal of Numerical Analysis and Mathematical Modelling. 33(6). 333–340. 5 indexed citations
12.
Ibrayev, R. A., et al.. (2017). Simulation of the global ocean thermohaline circulation with an eddy-resolving INMIO model configuration. IOP Conference Series Earth and Environmental Science. 96. 12007–12007. 1 indexed citations
13.
Ibrayev, R. A., et al.. (2016). Simulation of Arctic and North Atlantic ocean water and ice seasonal characteristics by the INMIO-CICE coupled model. IOP Conference Series Earth and Environmental Science. 48. 12013–12013. 1 indexed citations
14.
Ibrayev, R. A., et al.. (2016). Data assimilation in the ocean circulation model of high spatial resolution using the methods of parallel programming. Russian Meteorology and Hydrology. 41(7). 479–486. 18 indexed citations
15.
Tolstykh, M. A., et al.. (2016). Coupled atmosphere–ocean model SLAV–INMIO: implementation and first results. Russian Journal of Numerical Analysis and Mathematical Modelling. 31(6). 329–337. 5 indexed citations
16.
Ibrayev, R. A., et al.. (2015). Simulation of the world ocean climate with a massively parallel numerical model. Izvestiya Atmospheric and Oceanic Physics. 51(4). 362–380. 8 indexed citations
17.
Ibrayev, R. A., Emi̇n Özsoy, Corinna Schrum, & Halil İbrahim Sur. (2010). Seasonal variability of the Caspian Sea three-dimensional circulation, sea level and air-sea interaction. Ocean science. 6(1). 311–329. 66 indexed citations
18.
Ibrayev, R. A., et al.. (2010). High resolution and four-dimensional analysis as a prospect for ocean modelling. Russian Journal of Numerical Analysis and Mathematical Modelling. 25(5). 6 indexed citations
19.
Ibrayev, R. A., Emi̇n Özsoy, Corinna Schrum, & Halil İbrahim Sur. (2009). Seasonal variability of the Caspian Sea three-dimensional circulation, sea level and air-sea interaction. 6 indexed citations
20.
Иванов, Д. В., et al.. (2004). Hydrophysical Study of Bourgas Bay. Modelling the Synoptic Circulation Patterns. Comptes Rendus De L Academie Bulgare Des Sciences. 57(3). 29–34. 1 indexed citations

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.

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