Alexander Sterin

708 total citations
22 papers, 416 citations indexed

About

Alexander Sterin is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Alexander Sterin has authored 22 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 1 paper in Oceanography. Recurrent topics in Alexander Sterin's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Alexander Sterin is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Alexander Sterin collaborates with scholars based in Switzerland, United Kingdom and France. Alexander Sterin's co-authors include Stefan Brönnimann, Martin Wegmann, Yvan Orsolini, Olga Bulygina, Alexander Stickler, Rob Allan, M. A. Valente, Dick Dee, S. Jourdain and D. E. Parker and has published in prestigious journals such as Journal of Climate, Bulletin of the American Meteorological Society and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Alexander Sterin

17 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Sterin Switzerland 9 372 354 62 20 11 22 416
Xiaoqing Lan China 11 340 0.9× 358 1.0× 115 1.9× 10 0.5× 7 0.6× 30 404
Xiuping Yao China 12 283 0.8× 266 0.8× 31 0.5× 8 0.4× 20 1.8× 51 326
Andrew Eichmann United States 2 256 0.7× 246 0.7× 30 0.5× 12 0.6× 11 1.0× 3 281
Felix Bunzel Germany 10 396 1.1× 359 1.0× 38 0.6× 38 1.9× 18 1.6× 13 433
Raphaëla Vogel Germany 15 493 1.3× 512 1.4× 42 0.7× 14 0.7× 23 2.1× 23 553
Matthew D. K. Priestley United Kingdom 12 418 1.1× 424 1.2× 75 1.2× 7 0.3× 37 3.4× 18 500
Sebastian Wahl Germany 13 276 0.7× 325 0.9× 154 2.5× 24 1.2× 8 0.7× 21 358
Bryce E. Harrop United States 12 388 1.0× 422 1.2× 76 1.2× 5 0.3× 12 1.1× 33 459
Nicolas Rochetin France 10 369 1.0× 384 1.1× 57 0.9× 8 0.4× 27 2.5× 10 440
Frank P. Colby United States 8 318 0.9× 325 0.9× 31 0.5× 8 0.4× 30 2.7× 18 373

Countries citing papers authored by Alexander Sterin

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Sterin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Sterin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Sterin. A scholar is included among the top collaborators of Alexander Sterin 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 Alexander Sterin. Alexander Sterin 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.
Sterin, Alexander, et al.. (2024). Detailing Climatic Trends of Temperature and Precipitation in the Territory of the Russian Federation Using Quantile Regression and Clustering. Izvestiya Atmospheric and Oceanic Physics. 60(S1). S30–S45.
2.
3.
Haimberger, Leopold, et al.. (2021). Intercomparisons, error assessments, and technical information on historical upper-air measurements. Earth system science data. 13(6). 2471–2485. 1 indexed citations
4.
Sterin, Alexander, et al.. (2021). Potential damage from severe and adverse weather events in the Russian Federation: regional features. 143–156. 1 indexed citations
5.
Sterin, Alexander, et al.. (2020). On long period trend estimates of upper-air extreme and sub-extreme temperatures by use of quantile regression. IOP Conference Series Earth and Environmental Science. 611(1). 12043–12043. 2 indexed citations
6.
Sterin, Alexander, et al.. (2018). Upper-air climate monitoring: data sources, technological aspects, and some results. IOP Conference Series Earth and Environmental Science. 211. 12001–12001. 2 indexed citations
7.
Wegmann, Martin, Yvan Orsolini, Emanuel Dutra, et al.. (2017). Eurasian snow depth in long-term climate reanalyses. ˜The œcryosphere. 11(2). 923–935. 35 indexed citations
8.
Sterin, Alexander, et al.. (2017). ON THE ESTIMATES OF TROPOSPHERIC TEMPERATURE ANOMALIES IN 2015-2016. 2. 110–128.
9.
Sterin, Alexander, et al.. (2017). Comparison of free atmosphere temperature series from radiosonde and satellite data. Russian Meteorology and Hydrology. 42(2). 95–104. 2 indexed citations
10.
Hersbach, Hans, Stefan Brönnimann, Leopold Haimberger, et al.. (2017). The potential value of early (1939–1967) upper‐air data in atmospheric climate reanalysis. Quarterly Journal of the Royal Meteorological Society. 143(704). 1197–1210. 20 indexed citations
11.
Wegmann, Martin, Yvan Orsolini, Emanuel Dutra, et al.. (2016). Eurasian snow depth in long-term climate reanalysis. EGUGA. 1 indexed citations
12.
Sterin, Alexander, et al.. (2016). Estimation of surface air temperature trends over the Russian Federation territory using the quantile regression method. Russian Meteorology and Hydrology. 41(6). 388–397. 7 indexed citations
13.
Wegmann, Martin, Yvan Orsolini, M. Vázquez, et al.. (2015). Arctic moisture source for Eurasian snow cover variations in autumn. Environmental Research Letters. 10(5). 54015–54015. 74 indexed citations
14.
Stickler, Alexander, Stefan Brönnimann, S. Jourdain, et al.. (2014). Description of the ERA-CLIM historical upper-air data. Earth system science data. 6(1). 29–48. 13 indexed citations
15.
Sterin, Alexander, et al.. (2010). Using the quantile regression method to analyze changes in climate characteristics. Russian Meteorology and Hydrology. 35(5). 310–319. 26 indexed citations
16.
Stickler, Alexander, Andrea Grant, Tracy Ewen, et al.. (2009). The Comprehensive Historical Upper-Air Network. Bulletin of the American Meteorological Society. 91(6). 741–752. 48 indexed citations
17.
Antuña, Juan Carlos, Juan Antonio Añel, Alexander Sterin, & Luís Gimeno. (2009). Professor Zalman Makhover: a relevant contributor to early tropopause studies. Meteorologische Zeitschrift. 18(6). 573–584. 1 indexed citations
18.
Brönnimann, Stefan, Gilbert P. Compo, Prashant D. Sardeshmukh, Roy L. Jenne, & Alexander Sterin. (2005). New approaches for extending the twentieth century climate record. Eos. 86(1). 2–6. 12 indexed citations
19.
Khan, V. M., et al.. (2004). Qualitative comparison of air temperature trends based on ncar/ncep reanalysis, model simulations and aerological observations data. cosp. 35. 2183. 3 indexed citations
20.
Seidel, Dian J., J. K. Angell, John R. Christy, et al.. (2004). Uncertainty in Signals of Large-Scale Climate Variations in Radiosonde and Satellite Upper-Air Temperature Datasets. Journal of Climate. 17(11). 2225–2240. 90 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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