R. Zhuravlev

803 total citations
16 papers, 262 citations indexed

About

R. Zhuravlev is a scholar working on Global and Planetary Change, Atmospheric Science and Automotive Engineering. According to data from OpenAlex, R. Zhuravlev has authored 16 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 1 paper in Automotive Engineering. Recurrent topics in R. Zhuravlev's work include Atmospheric and Environmental Gas Dynamics (16 papers), Atmospheric chemistry and aerosols (10 papers) and Meteorological Phenomena and Simulations (5 papers). R. Zhuravlev is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (16 papers), Atmospheric chemistry and aerosols (10 papers) and Meteorological Phenomena and Simulations (5 papers). R. Zhuravlev collaborates with scholars based in Russia, Japan and United States. R. Zhuravlev's co-authors include Shamil Maksyutov, Philippe Ciais, A. Ganshin, Grégoire Broquet, I. B. Konovalov, Greet Janssens‐Maenhout, Tazu Saeki, Tomoko Shirai, Toshinobu Machida and Dmitry Belikov and has published in prestigious journals such as Nature Communications, Atmospheric chemistry and physics and Remote Sensing.

In The Last Decade

R. Zhuravlev

16 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Zhuravlev Russia	8	240	190	32	20	16	16	262
A. Ganshin Russia	9	352 1.5×	291 1.5×	48 1.5×	23 1.1×	29 1.8×	20	379
Alina Fiehn Germany	11	208 0.9×	185 1.0×	25 0.8×	47 2.4×	32 2.0×	25	278
Rajesh Janardanan Japan	10	235 1.0×	171 0.9×	26 0.8×	39 1.9×	36 2.3×	16	262
K. D. Corbin United States	9	402 1.7×	330 1.7×	20 0.6×	26 1.3×	8 0.5×	14	411
Thomas Koch Germany	8	290 1.2×	230 1.2×	27 0.8×	19 0.9×	19 1.2×	11	299
Jacob K. Hedelius United States	10	351 1.5×	297 1.6×	51 1.6×	53 2.6×	19 1.2×	15	375
Ruixue Lei United States	7	165 0.7×	157 0.8×	63 2.0×	56 2.8×	5 0.3×	10	234
Dan Bergmann United States	10	322 1.3×	368 1.9×	117 3.7×	32 1.6×	8 0.5×	16	449
Jinghui Lian France	7	226 0.9×	163 0.9×	60 1.9×	78 3.9×	9 0.6×	21	255

Countries citing papers authored by R. Zhuravlev

Since Specialization

Citations

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

Fields of papers citing papers by R. Zhuravlev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Zhuravlev

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

All Works

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16 of 16 papers shown

Zhuravlev, R., et al.. (2022). Globally Scalable Approach to Estimate Net Ecosystem Exchange Based on Remote Sensing, Meteorological Data, and Direct Measurements of Eddy Covariance Sites. Remote Sensing. 14(21). 5529–5529. 2 indexed citations

Maksyutov, Shamil, Tomohiro Oda, Makoto Saito, et al.. (2021). Technical note: A high-resolution inverse modelling technique for estimating surface CO ₂ fluxes based on the NIES-TM–FLEXPART coupled transport model and its adjoint. Atmospheric chemistry and physics. 21(2). 1245–1266. 23 indexed citations

Shirai, Tomoko, Misa Ishizawa, R. Zhuravlev, et al.. (2017). A decadal inversion of CO<sub>2</sub> using the Global Eulerian–Lagrangian Coupled Atmospheric model (GELCA): sensitivity to the ground-based observation network. Tellus B. 69(1). 1291158–1291158. 9 indexed citations

Thompson, Rona L., Prabir K. Patra, Frédéric Chevallier, et al.. (2016). Top–down assessment of the Asian carbon budget since the mid 1990s. Nature Communications. 7(1). 10724–10724. 93 indexed citations

Konovalov, I. B., et al.. (2016). Estimation of fossil-fuel CO ₂ emissions using satellite measurements of "proxy" species. Atmospheric chemistry and physics. 16(21). 13509–13540. 58 indexed citations

Ganshin, A., et al.. (2016). Estimating by inverse modeling the release of radioactive substances (133Xe, 131I, and 137Cs) into the atmosphere from Fukushima Daiichi nuclear disaster. Russian Meteorology and Hydrology. 41(5). 335–343. 3 indexed citations

Lukyanov, A., A. Ganshin, R. Zhuravlev, Shamil Maksyutov, & Andrej Varlagin. (2015). Global Lagrangian Atmospheric Dispersion Model. Izvestiya Atmospheric and Oceanic Physics. 51(5). 505–511. 1 indexed citations

Belikov, Dmitry, Аndrey Bril, Shamil Maksyutov, et al.. (2014). Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations. Polar Science. 8(2). 129–145. 8 indexed citations

Ishizawa, Misa, Tomoko Shirai, R. Zhuravlev, et al.. (2013). P415 A decadal inversion of carbon dioxide using the Global Eulerian-Lagrangian Coupled Atmospheric model (GELCA). 103. 392. 1 indexed citations

10.

Zhuravlev, R., A. Ganshin, Shamil Maksyutov, Sergey Oshchepkov, & B. Khattatov. (2013). Estimation of global CO2 fluxes using ground-based and satellite (GOSAT) observation data with empirical orthogonal functions. Atmospheric and Oceanic Optics. 26(6). 507–516. 7 indexed citations

11.

Ganshin, A., R. Zhuravlev, Shamil Maksyutov, A. Lukyanov, & Hirofumi Mukai. (2013). Simulation of contribution of continental anthropogenic sources to variations in the CO2 concentration during winter period on Hateruma Island. Atmospheric and Oceanic Optics. 26(1). 35–40. 3 indexed citations

12.

Ganshin, A., Tomohiro Oda, Makoto Saito, et al.. (2012). A global coupled Eulerian-Lagrangian model and 1 × 1 km CO ₂ surface flux dataset for high-resolution atmospheric CO ₂ transport simulations. Geoscientific model development. 5(1). 231–243. 28 indexed citations

13.

Maksyutov, Shamil, Hiroshi Takagi, Dmitry Belikov, et al.. (2012). Estimation of regional surface CO₂fluxes with GOSAT observations using two inverse modeling approaches. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8529. 85290G–85290G. 3 indexed citations

14.

Zhuravlev, R., et al.. (2011). Technical Note: A novel approach to estimation of time-variable surface sources and sinks of carbon dioxide using empirical orthogonal functions and the Kalman filter. Atmospheric chemistry and physics. 11(20). 10305–10315. 3 indexed citations

15.

Belikov, Dmitry, et al.. (2011). Mass-conserving tracer transport modelling on a reduced latitude-longitude grid with NIES-TM. Geoscientific model development. 4(1). 207–222. 19 indexed citations

16.

Belikov, Dmitry, et al.. (2010). Mass-conserving tracer transport modelling on a reduced latitude-longitude grid. 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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