Г. С. Ривин

404 total citations
33 papers, 262 citations indexed

About

Г. С. Ривин is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Г. С. Ривин has authored 33 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 25 papers in Atmospheric Science and 6 papers in Environmental Engineering. Recurrent topics in Г. С. Ривин's work include Climate variability and models (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers) and Meteorological Phenomena and Simulations (9 papers). Г. С. Ривин is often cited by papers focused on Climate variability and models (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers) and Meteorological Phenomena and Simulations (9 papers). Г. С. Ривин collaborates with scholars based in Russia, Germany and Tajikistan. Г. С. Ривин's co-authors include A. P. Revokatova, Д. В. Блинов, Galina Surkova, Mikhail Varentsov, D. B. Kiktev, Alexander Olchev, М. А. Никитин, M. M. Chumakov, Timofey Samsonov and Natalia Chubarova and has published in prestigious journals such as Atmospheric chemistry and physics, Journal of Aerosol Science and Urban Climate.

In The Last Decade

Г. С. Ривин

30 papers receiving 250 citations

Peers

Г. С. Ривин
Vincenzo Capozzi Italy
Jan-Peter Schulz Germany
Trygve Aspelien Norway
Alina Fiehn Germany
Han Zou China
Zhanshan Ma China
Priit Tisler Finland
Jerold A. Herwehe United States
Ulf Andrae Sweden
Vincenzo Capozzi Italy
Г. С. Ривин
Citations per year, relative to Г. С. Ривин Г. С. Ривин (= 1×) peers Vincenzo Capozzi

Countries citing papers authored by Г. С. Ривин

Since Specialization
Citations

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

Fields of papers citing papers by Г. С. Ривин

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Г. С. Ривин. 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 Г. С. Ривин. The network helps show where Г. С. Ривин may publish in the future.

Co-authorship network of co-authors of Г. С. Ривин

This figure shows the co-authorship network connecting the top 25 collaborators of Г. С. Ривин. A scholar is included among the top collaborators of Г. С. Ривин 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 Г. С. Ривин. Г. С. Ривин 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.
Ривин, Г. С., et al.. (2024). Short-term Numerical Forecast System COSMO-Ru2By: Short Description and Skill of Forecasts of $$\beta$$- and $$\gamma$$-mesoscale Processes. Russian Meteorology and Hydrology. 49(S1). S48–S63. 1 indexed citations
2.
Кузнецова, И. Н., et al.. (2024). Characteristics of the Moscow Heat Island and Quality of Its Simulation with the COSMO-Ru1-MSK Model Based on the Mosecomonitoring Observations. Russian Meteorology and Hydrology. 49(9). 795–810.
3.
Chubarova, Natalia, et al.. (2023). Urban aerosol, its radiative and temperature response in comparison with urban canopy effects in megacity based on COSMO-ART modeling. Urban Climate. 53. 101762–101762. 4 indexed citations
4.
5.
Чубарова, Н. Э., et al.. (2022). Columnar and surface urban aerosol in the Moscow megacity according to measurements and simulations with the COSMO-ART model. Atmospheric chemistry and physics. 22(16). 10443–10466. 5 indexed citations
6.
7.
Кузнецова, И. Н., et al.. (2022). Modeling Surface Air Pollution with Reduced Emissions during the COVID-19 Pandemic Using CHIMERE and COSMO-ART Chemical Transport Models. Russian Meteorology and Hydrology. 47(3). 174–182. 3 indexed citations
8.
Garbero, Valeria, Massimo Milelli, Edoardo Bucchignani, et al.. (2021). Evaluating the Urban Canopy Scheme TERRA_URB in the COSMO Model for Selected European Cities. Atmosphere. 12(2). 237–237. 21 indexed citations
9.
10.
Ривин, Г. С., D. B. Kiktev, Д. В. Блинов, et al.. (2020). Development of the High-resolution Operational System for Numerical Prediction of Weather and Severe Weather Events for the Moscow Region. Russian Meteorology and Hydrology. 45(7). 455–465. 22 indexed citations
11.
Ривин, Г. С., et al.. (2019). Air quality forecasting system based on chemical transport models. 4. 203–218. 1 indexed citations
12.
Ривин, Г. С., et al.. (2019). COSMO-Ru high-resolution short-range numerical weather prediction system: its development and applications. 4. 37–53. 3 indexed citations
13.
Ривин, Г. С., et al.. (2018). Numerical Weather Prediction for Arctic Region. EGUGA. 5505. 1 indexed citations
14.
Chubarova, Natalia, et al.. (2018). CLEAR-SKY RADIATIVE AND TEMPERATURE EFFECTS OF DIFFERENT AEROSOL CLIMATOLOGIES IN THE COSMO MODEL. GEOGRAPHY ENVIRONMENT SUSTAINABILITY. 11(1). 74–84. 7 indexed citations
15.
Olchev, Alexander, et al.. (2018). Influence of forest cover changes on regional weather conditions: estimations using the mesoscale model COSMO. IOP Conference Series Earth and Environmental Science. 107. 12105–12105. 4 indexed citations
16.
17.
Olchev, Alexander, et al.. (2017). Application of the COSMO-CLM mesoscale model to assess the effects of forest cover changes on regional weather conditions in the European part of Russia. Russian Meteorology and Hydrology. 42(9). 574–581. 6 indexed citations
18.
Surkova, Galina, et al.. (2014). Simulation of spread of air pollution plumes from forest fires with the use of COSMO-Ru7-ART chemical-transport model. Atmospheric and Oceanic Optics. 27(3). 268–274. 8 indexed citations
19.
Kiktev, D. B., et al.. (2013). Development of forecasting technologies for meteorological support of the Sochi-2014 Winter Olympic Games. Russian Meteorology and Hydrology. 38(10). 653–660. 11 indexed citations
20.
Ривин, Г. С., et al.. (2001). AEROSOL MODELLING: THE ESTIMATION OF INFLUENCE AREAS ON THE GIVEN REGION USING THE CLIMATIC DATA. Journal of Aerosol Science. 32. 733–734. 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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