Dmitry Chechin

1.5k total citations
31 papers, 454 citations indexed

About

Dmitry Chechin is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Dmitry Chechin has authored 31 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atmospheric Science, 23 papers in Global and Planetary Change and 6 papers in Oceanography. Recurrent topics in Dmitry Chechin's work include Arctic and Antarctic ice dynamics (19 papers), Climate variability and models (18 papers) and Meteorological Phenomena and Simulations (13 papers). Dmitry Chechin is often cited by papers focused on Arctic and Antarctic ice dynamics (19 papers), Climate variability and models (18 papers) and Meteorological Phenomena and Simulations (13 papers). Dmitry Chechin collaborates with scholars based in Russia, Germany and France. Dmitry Chechin's co-authors include Christof Lüpkes, Michael Tjernström, Manfred Wendisch, Irina Repina, Roel Neggers, Matthew D. Shupe, Gunilla Svensson, Timothy W. Cronin, Amy Solomon and Annica M. L. Ekman and has published in prestigious journals such as Journal of the Atmospheric Sciences, Nature Geoscience and Atmospheric chemistry and physics.

In The Last Decade

Dmitry Chechin

29 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitry Chechin Russia 9 429 328 55 21 19 31 454
Elizabeth N. Cassano United States 14 485 1.1× 362 1.1× 44 0.8× 32 1.5× 20 1.1× 19 522
Sandro Dahlke Germany 12 405 0.9× 339 1.0× 28 0.5× 17 0.8× 14 0.7× 31 448
A. V. Timazhev Russia 11 305 0.7× 328 1.0× 26 0.5× 23 1.1× 12 0.6× 28 362
Timo Palo Estonia 9 486 1.1× 334 1.0× 42 0.8× 16 0.8× 22 1.2× 12 509
Rich Gudgel United States 12 472 1.1× 425 1.3× 162 2.9× 8 0.4× 9 0.5× 14 516
Sergio A. Sejas United States 11 330 0.8× 303 0.9× 22 0.4× 19 0.9× 11 0.6× 20 390
Peter M. Finocchio United States 11 387 0.9× 301 0.9× 130 2.4× 18 0.9× 5 0.3× 19 397
Morten Køltzow Norway 11 441 1.0× 329 1.0× 33 0.6× 15 0.7× 33 1.7× 22 467
Rachel Tilling United States 12 589 1.4× 99 0.3× 57 1.0× 52 2.5× 15 0.8× 22 615
Thomas Oudar France 8 479 1.1× 440 1.3× 81 1.5× 22 1.0× 8 0.4× 8 511

Countries citing papers authored by Dmitry Chechin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Chechin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Chechin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Chechin. A scholar is included among the top collaborators of Dmitry Chechin 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 Dmitry Chechin. Dmitry Chechin 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.
Chechin, Dmitry, et al.. (2025). Impact of Extreme Weather Events on the Surface Energy Balance of the Low-Elevation Svalbard Glacier Aldegondabreen. Water. 17(2). 274–274. 1 indexed citations
2.
3.
Mortikov, Evgeny, et al.. (2024). Planetary boundary layer scheme in the INMCM Earth system model. Russian Journal of Numerical Analysis and Mathematical Modelling. 39(6). 343–352.
4.
Chechin, Dmitry, Régis Dupuy, Christof Lüpkes, et al.. (2023). Aerosol impacts on the entrainment efficiency of Arctic mixed-phase convection in a simulated air mass over open water. Atmospheric chemistry and physics. 23(8). 4903–4929. 2 indexed citations
5.
Chechin, Dmitry, Christof Lüpkes, Jörg Hartmann, André Ehrlich, & Manfred Wendisch. (2023). Turbulent structure of the Arctic boundary layer in early summer driven by stability, wind shear and cloud-top radiative cooling: ACLOUD airborne observations. Atmospheric chemistry and physics. 23(8). 4685–4707. 11 indexed citations
6.
Chechin, Dmitry, et al.. (2022). Relationships Between Second and Third Moments in the Surface Layer Under Different Stratification over Grassland and Urban Landscapes. Boundary-Layer Meteorology. 187(1-2). 311–338. 3 indexed citations
7.
Chechin, Dmitry, et al.. (2022). The foehn effect during easterly flow over Svalbard. Atmospheric chemistry and physics. 22(2). 1529–1548. 16 indexed citations
8.
Chechin, Dmitry, et al.. (2021). Foehn effect during easterly flow over Svalbard. 1 indexed citations
9.
Myslenkov, Stanislav, et al.. (2021). The impact of sea waves on turbulent heat fluxes in the Barents Sea according to numerical modeling. Atmospheric chemistry and physics. 21(7). 5575–5595. 6 indexed citations
10.
Chechin, Dmitry, Régis Dupuy, Christof Lüpkes, et al.. (2021). Aerosol-cloud-turbulence interactions in well-coupled Arctic boundary layers over open water. 1 indexed citations
11.
Lüpkes, Christof, Wolfgang Dorn, Dmitry Chechin, et al.. (2021). Sensitivity to changes in the surface‐layer turbulence parameterization for stable conditions in winter: A case study with a regional climate model over the Arctic. Atmospheric Science Letters. 23(1). 9 indexed citations
12.
Chechin, Dmitry. (2021). On the u⋆−U Relationship in the Stable Atmospheric Boundary Layer over Arctic Sea Ice. Atmosphere. 12(5). 591–591. 5 indexed citations
13.
14.
Khosravi, Sara, Annette Rinke, Wolfgang Dorn, et al.. (2020). The role of air-sea ice-ocean interaction processes for Arctic-midlatitude linkages. 1 indexed citations
15.
Repina, Irina, et al.. (2020). APPLICATION OF UNMANNED AIRCRAFT FOR STUDYING OF THE ATMOSPHERIC BOUNDARY LAYER. 20–39. 1 indexed citations
16.
Chechin, Dmitry, et al.. (2019). Effect of Wind Speed and Leads on Clear-Sky Cooling over Arctic Sea Ice during Polar Night. Journal of the Atmospheric Sciences. 76(8). 2481–2503. 25 indexed citations
17.
Chechin, Dmitry & Christof Lüpkes. (2016). Boundary-Layer Development and Low-level Baroclinicity during High-Latitude Cold-Air Outbreaks: A Simple Model. Boundary-Layer Meteorology. 162(1). 91–116. 18 indexed citations
18.
Chechin, Dmitry, et al.. (2015). Influence of baroclinicity in the atmospheric boundary layer and Ekman friction on the surface wind speed during cold-air outbreaks in the Arctic. Izvestiya Atmospheric and Oceanic Physics. 51(2). 127–137. 8 indexed citations
19.
Vihma, Timo, Roberta Pirazzini, Ilker Fer, et al.. (2014). Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review. Atmospheric chemistry and physics. 14(17). 9403–9450. 133 indexed citations
20.
Vihma, Timo, Roberta Pirazzini, Ian A. Renfrew, et al.. (2013). Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review. 6 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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