Galina Chirokova

505 total citations
20 papers, 342 citations indexed

About

Galina Chirokova is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Galina Chirokova has authored 20 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 6 papers in Oceanography. Recurrent topics in Galina Chirokova's work include Tropical and Extratropical Cyclones Research (10 papers), Atmospheric aerosols and clouds (7 papers) and Meteorological Phenomena and Simulations (7 papers). Galina Chirokova is often cited by papers focused on Tropical and Extratropical Cyclones Research (10 papers), Atmospheric aerosols and clouds (7 papers) and Meteorological Phenomena and Simulations (7 papers). Galina Chirokova collaborates with scholars based in United States, China and France. Galina Chirokova's co-authors include A. Gannet Hallar, Christine Wiedinmyer, Peter J. Webster, Charles R. Sampson, John A. Knaff, Douglas H. Lowenthal, Ian B. McCubbin, Craig D. Dodson, Randolph D. Borys and T. H. Painter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Galina Chirokova

18 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Galina Chirokova United States	9	289	214	100	94	47	20	342
Samuel T. K. Miller United States	4	471 1.6×	375 1.8×	114 1.1×	67 0.7×	90 1.9×	4	540
Mathieu Joly France	12	438 1.5×	453 2.1×	123 1.2×	84 0.9×	44 0.9×	14	551
Jianlei Zhu China	10	300 1.0×	301 1.4×	48 0.5×	75 0.8×	28 0.6×	16	369
Barbara Hennemuth Germany	10	332 1.1×	301 1.4×	38 0.4×	30 0.3×	113 2.4×	26	389
Sara Bacer Germany	10	252 0.9×	229 1.1×	34 0.3×	82 0.9×	34 0.7×	20	342
Victoria E. Irish Canada	8	360 1.2×	265 1.2×	35 0.3×	55 0.6×	12 0.3×	11	379
Nick Earl Australia	8	222 0.8×	299 1.4×	23 0.2×	34 0.4×	63 1.3×	13	374
Boutheina Oueslati France	10	356 1.2×	413 1.9×	102 1.0×	33 0.4×	21 0.4×	15	445
Justin T. Walters United States	9	368 1.3×	257 1.2×	34 0.3×	190 2.0×	92 2.0×	14	469
W. L. Chang China	7	299 1.0×	252 1.2×	135 1.4×	39 0.4×	22 0.5×	9	328

Countries citing papers authored by Galina Chirokova

Since Specialization

Citations

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

Fields of papers citing papers by Galina Chirokova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Galina Chirokova

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

All Works

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20 of 20 papers shown

Barnes, Elizabeth A., Randal J. Barnes, Mark DeMaria, et al.. (2025). Predicting Tropical Cyclone Track Forecast Errors Using a Probabilistic Neural Network. ArXiv.org. 4(2).

DeMaria, Mark, et al.. (2025). An Operations-Based Evaluation of Tropical Cyclone Track and Intensity Forecasts from Artificial Intelligence Weather Prediction Models. 4(4).

Su, Hui, Longtao Wu, Pingping Rong, et al.. (2025). Improving tropical cyclone rapid intensification forecasts with satellite measurements of sea surface salinity and calibrated machine learning. Environmental Research Letters. 20(3). 34010–34010. 1 indexed citations

Chirokova, Galina, John A. Knaff, Michael J. Brennan, et al.. (2023). ProxyVis—A Proxy for Nighttime Visible Imagery Applicable to Geostationary Satellite Observations. Weather and Forecasting. 38(12). 2527–2550. 4 indexed citations

DeMaria, Mark, James L. Franklin, John A. Knaff, et al.. (2022). The National Hurricane Center Tropical Cyclone Model Guidance Suite. Weather and Forecasting. 37(11). 2141–2159. 8 indexed citations

Knaff, John A., Charles R. Sampson, Michael J. Brennan, et al.. (2021). Estimating tropical cyclone surface winds: Current status, emerging technologies, historical evolution, and a look to the future. SHILAP Revista de lepidopterología. 10(3). 125–150. 71 indexed citations

Kassianov, Evgueni, Mikhail Pekour, Larry K. Berg, et al.. (2020). Aerosol Total Volume Estimation From Wavelength‐ and Size‐Resolved Scattering Coefficient Data: A New Method. Earth and Space Science. 7(9). 1 indexed citations

Chirokova, Galina. (2018). Hurricane Intensity and Wind Structure Estimation: from AMSU to TROPICS. 3 indexed citations

Braun, Scott A., Christopher S. Velden, Derrick Herndon, et al.. (2018). Overview of the NASA TROPICS CubeSat Constellation Mission. NASA STI Repository (National Aeronautics and Space Administration). 7–7. 7 indexed citations

10.

Knaff, John A., Charles R. Sampson, & Galina Chirokova. (2017). A Global Statistical–Dynamical Tropical Cyclone Wind Radii Forecast Scheme. Weather and Forecasting. 32(2). 629–644. 25 indexed citations

11.

Chirokova, Galina. (2015). Use of JPSS ATMS, CrIS, and VIIRS data to Improve Tropical Cyclone Track and Intensity Forecasting. AGUFM. 2015. 1 indexed citations

12.

Kallistratova, M. A., et al.. (2015). Internal gravity-shear waves in the atmospheric boundary layer from acoustic remote sensing data. Izvestiya Atmospheric and Oceanic Physics. 51(2). 193–202. 17 indexed citations

13.

Chirokova, Galina. (2014). Improving Tropical Cyclone Track and Intensity Forecasting with JPSS imager and Sounder Data. 1 indexed citations

14.

Hallar, A. Gannet, Douglas H. Lowenthal, Simon L. Clegg, et al.. (2013). Chemical and hygroscopic properties of aerosol organics at Storm Peak Laboratory. Journal of Geophysical Research Atmospheres. 118(10). 4767–4779. 32 indexed citations

15.

Yu, Huan, A. Gannet Hallar, Arthur J. Sedlacek, et al.. (2013). Sub-3 nm particle observations in the atmosphere of two sites in Eastern United States. AIP conference proceedings. 539–542. 2 indexed citations

16.

McCubbin, Ian B., A. Gannet Hallar, T. H. Painter, Christine Wiedinmyer, & Galina Chirokova. (2011). Atmospheric Bioaerosols Transported Via Dust Storms in Western United States. AGU Fall Meeting Abstracts. 2011. 1 indexed citations

17.

Hallar, A. Gannet, Galina Chirokova, Ian B. McCubbin, et al.. (2011). Atmospheric bioaerosols transported via dust storms in the western United States. Geophysical Research Letters. 38(17). n/a–n/a. 62 indexed citations

18.

Hallar, A. Gannet, Douglas H. Lowenthal, Galina Chirokova, Randolph D. Borys, & Christine Wiedinmyer. (2011). Persistent daily new particle formation at a mountain-top location. Atmospheric Environment. 45(24). 4111–4115. 58 indexed citations

19.

Kallistratova, M. A., et al.. (2009). Summertime low-level jet characteristics measured by sodars over rural and urban areas. Meteorologische Zeitschrift. 18(3). 289–295. 18 indexed citations

20.

Chirokova, Galina & Peter J. Webster. (2006). Interannual Variability of Indian Ocean Heat Transport. Journal of Climate. 19(6). 1013–1031. 30 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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