V. M. Khan

510 total citations
36 papers, 339 citations indexed

About

V. M. Khan is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, V. M. Khan has authored 36 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Global and Planetary Change, 26 papers in Atmospheric Science and 11 papers in Oceanography. Recurrent topics in V. M. Khan's work include Climate variability and models (28 papers), Meteorological Phenomena and Simulations (16 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). V. M. Khan is often cited by papers focused on Climate variability and models (28 papers), Meteorological Phenomena and Simulations (16 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). V. M. Khan collaborates with scholars based in Russia, Germany and Spain. V. M. Khan's co-authors include Peter Zavialov, K. Arpe, Hamid Lahijani, Suzanne A.G. Leroy, Ladislav Holko, В. А. Тищенко, Andrey G. Kostianoy, Elena Roget, Fredrik Wetterhall and Stefan Hagemann and has published in prestigious journals such as Geophysical Research Letters, Quarterly Journal of the Royal Meteorological Society and International Journal of Climatology.

In The Last Decade

V. M. Khan

31 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. M. Khan Russia 10 171 167 150 91 58 36 339
П. А. Торопов Russia 12 313 1.8× 122 0.7× 138 0.9× 10 0.1× 25 0.4× 46 414
Elisaveta Peneva Bulgaria 12 130 0.8× 175 1.0× 451 3.0× 20 0.2× 25 0.4× 32 562
Alexander Kislov Russia 11 202 1.2× 111 0.7× 160 1.1× 14 0.2× 8 0.1× 63 324
Silvia Enzi Italy 10 349 2.0× 372 2.2× 35 0.2× 9 0.1× 95 1.6× 13 540
François Delclaux France 9 182 1.1× 151 0.9× 27 0.2× 11 0.1× 147 2.5× 18 357
D. Bolshiyanov Russia 10 324 1.9× 73 0.4× 76 0.5× 11 0.1× 9 0.2× 47 438
Philippe Marbaix Belgium 9 304 1.8× 332 2.0× 32 0.2× 17 0.2× 33 0.6× 21 440
Veronika Valler Switzerland 10 381 2.2× 295 1.8× 41 0.3× 7 0.1× 19 0.3× 14 473
Christina Karamperidou United States 14 443 2.6× 411 2.5× 177 1.2× 8 0.1× 11 0.2× 27 529
Flemming Jakobsen Denmark 12 247 1.4× 155 0.9× 236 1.6× 18 0.2× 34 0.6× 19 411

Countries citing papers authored by V. M. Khan

Since Specialization
Citations

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

Fields of papers citing papers by V. M. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. M. Khan. 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 V. M. Khan. The network helps show where V. M. Khan may publish in the future.

Co-authorship network of co-authors of V. M. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of V. M. Khan. A scholar is included among the top collaborators of V. M. Khan 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 V. M. Khan. V. M. Khan 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.
2.
Vargin, P. N., et al.. (2024). Investigation of the Predictability of the Arctic Stratospheric Polar Vortex Variability in the INMCM5 Seasonal Predictions. Russian Meteorology and Hydrology. 49(8). 700–710.
3.
Zavialov, Peter, et al.. (2024). First Long-Term Measurements on Kazakhstan Shelf of the Caspian Sea Reveal Alternating Currents and Energetic Temperature Variability. Journal of Marine Science and Engineering. 12(11). 1957–1957. 1 indexed citations
4.
Khan, V. M., et al.. (2024). Verification of Seasonal Ensemble Forecasts Based on the INM-CM5 Earth System Model. Russian Meteorology and Hydrology. 49(7). 587–597. 2 indexed citations
5.
Khan, V. M., et al.. (2024). Climate Forecasts. Part I: Current Status and Development Prospects. Russian Meteorology and Hydrology. 49(7). 563–575.
6.
Khan, V. M., et al.. (2023). Seasonal Hydrodynamic Forecasts Using the INM-CM5 Model for Estimating the Beginning of Birch Pollen Dispersion. Izvestiya Atmospheric and Oceanic Physics. 59(4). 351–359. 2 indexed citations
7.
Khan, V. M., et al.. (2023). Analysis of Intraseasonal Variability and Predictability of Regional-Scale Atmospheric Processes at Midlatitudes of the Northern Hemisphere. Izvestiya Atmospheric and Oceanic Physics. 59(5). 457–469. 1 indexed citations
8.
9.
Kiktev, D. B., et al.. (2019). Long-range forecasting at Hydrometeorological Center of Russia. 4. 12–36. 3 indexed citations
10.
Zavialov, Peter, et al.. (2018). New profiling and mooring records help to assess variability of Lake Issyk-Kul and reveal unknown features of its thermohaline structure. Hydrology and earth system sciences. 22(12). 6279–6295. 9 indexed citations
11.
Roget, Elena & V. M. Khan. (2018). Decadal differences of the diurnal temperature range in the Aral Sea region at the turn of the century. Tellus A Dynamic Meteorology and Oceanography. 70(1). 1513290–1513290. 4 indexed citations
12.
Khan, V. M., et al.. (2017). Integration of synoptic and hydrodynamic monthly air temperature forecasts. Russian Meteorology and Hydrology. 42(8). 485–493. 4 indexed citations
13.
Khan, V. M., et al.. (2017). Improved one‐month lead‐time forecasting of the SPI over Russia with pressure covariates based on the SL–AV model. Quarterly Journal of the Royal Meteorological Society. 143(707). 2636–2649. 3 indexed citations
14.
Тищенко, В. А., et al.. (2013). Studying the development of atmospheric processes associated with blocking and quasistationary anticyclones in the Atlantic European sector. Russian Meteorology and Hydrology. 38(7). 444–455. 8 indexed citations
15.
Arpe, K., Suzanne A.G. Leroy, Fredrik Wetterhall, et al.. (2013). Prediction of the Caspian Sea level using ECMWF seasonal forecasts and reanalysis. Theoretical and Applied Climatology. 117(1-2). 41–60. 34 indexed citations
16.
Arpe, K., Suzanne A.G. Leroy, Hamid Lahijani, & V. M. Khan. (2012). Impact of the European Russia drought in 2010 on the Caspian Sea level. Hydrology and earth system sciences. 16(1). 19–27. 61 indexed citations
17.
Roget, Elena, et al.. (2009). Geodynamical processes in the channel connecting the two lobes of the Large Aral Sea. Hydrology and earth system sciences. 13(11). 2265–2271. 10 indexed citations
18.
Khan, V. M., et al.. (2007). Comparison of seasonal and interannual variability of snow cover in Russian watersheds according to observations and reanalyses. Izvestiya Atmospheric and Oceanic Physics. 43(1). 59–69. 4 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.
Khan, V. M., et al.. (2004). Long-term variability of air temperature in the Aral sea region. Journal of Marine Systems. 47(1-4). 25–33. 20 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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