Denis Demchev

601 total citations
24 papers, 169 citations indexed

About

Denis Demchev is a scholar working on Atmospheric Science, Environmental Chemistry and Environmental Engineering. According to data from OpenAlex, Denis Demchev has authored 24 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 4 papers in Environmental Chemistry and 4 papers in Environmental Engineering. Recurrent topics in Denis Demchev's work include Arctic and Antarctic ice dynamics (23 papers), Cryospheric studies and observations (14 papers) and Climate change and permafrost (13 papers). Denis Demchev is often cited by papers focused on Arctic and Antarctic ice dynamics (23 papers), Cryospheric studies and observations (14 papers) and Climate change and permafrost (13 papers). Denis Demchev collaborates with scholars based in Russia, Sweden and United Kingdom. Denis Demchev's co-authors include В. А. Волков, Stein Sandven, M. Kulakov, Pablo F. Alcantarilla, Vijayan K. Asari, Nuno Miranda, Anton Korosov, Jeong‐Won Park, Alexander Makshtas and И. Е. Фролов and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Denis Demchev

23 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denis Demchev Russia 8 142 39 23 18 17 24 169
J. Heinrichs United States 8 254 1.8× 18 0.5× 18 0.8× 15 0.8× 7 0.4× 18 266
V. Onana United States 3 245 1.7× 4 0.1× 13 0.6× 18 1.0× 10 0.6× 5 255
Ivan Ryzhov Russia 5 33 0.2× 13 0.3× 31 1.3× 7 0.4× 9 0.5× 6 83
Amy R. Macfarlane Germany 6 105 0.7× 13 0.3× 6 0.3× 26 1.4× 7 0.4× 18 112
Vishnu Nandan Canada 10 280 2.0× 23 0.6× 29 1.3× 14 0.8× 18 1.1× 20 297
Erika Roesler United States 7 119 0.8× 8 0.2× 6 0.3× 111 6.2× 9 0.5× 19 145
Karoline Frey United States 7 292 2.1× 34 0.9× 20 0.9× 18 1.0× 2 0.1× 7 302
Lars‐Anders Breivik Norway 6 91 0.6× 9 0.2× 104 4.5× 17 0.9× 6 0.4× 11 145
A. Bingham United States 5 137 1.0× 5 0.1× 15 0.7× 17 0.9× 3 0.2× 14 160
Frank Le Blancq India 4 51 0.4× 3 0.1× 13 0.6× 54 3.0× 4 0.2× 8 92

Countries citing papers authored by Denis Demchev

Since Specialization
Citations

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

Fields of papers citing papers by Denis Demchev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Demchev

This figure shows the co-authorship network connecting the top 25 collaborators of Denis Demchev. A scholar is included among the top collaborators of Denis Demchev 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 Denis Demchev. Denis Demchev 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.
Demchev, Denis, et al.. (2024). Utilization of the U-Net Convolutional Neural Network and Its Modifications for Segmentation of Tundra Lakes in Satellite Optical Images. Atmospheric and Oceanic Optics. 37(2). 205–210. 1 indexed citations
2.
Demchev, Denis, et al.. (2023). Alignment of Multifrequency SAR Images Acquired Over Sea Ice Using Drift Compensation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 7393–7402. 2 indexed citations
3.
Demchev, Denis, et al.. (2023). Recognizing the Shape and Size of Tundra Lakes in Synthetic Aperture Radar (SAR) Images Using Deep Learning Segmentation. Remote Sensing. 15(5). 1298–1298. 4 indexed citations
4.
Asari, Vijayan K., et al.. (2023). R2UNet for melt pond detection. Chalmers Research (Chalmers University of Technology). 25–25. 1 indexed citations
5.
Asari, Vijayan K., et al.. (2022). MeltPondNet: A Swin Transformer U-Net for Detection of Melt Ponds on Arctic Sea Ice. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 8776–8784. 16 indexed citations
6.
Demchev, Denis, et al.. (2022). Application of A.M. Obukhov’s theory of correlation of vectors for scientific research and engineering calculations of ice drift in the Arctic Ocean.. IOP Conference Series Earth and Environmental Science. 1040(1). 12024–12024.
7.
Demchev, Denis, et al.. (2021). SAR image texture entropy analysis for applicability assessment of area-based and feature-based AEA ice tracking approaches. Chalmers Research (Chalmers University of Technology). 2 indexed citations
8.
Demchev, Denis, et al.. (2021). An Application of Sea Ice Tracking Algorithm for Fast Ice and Stamukhas Detection in the Arctic. Remote Sensing. 13(18). 3783–3783. 6 indexed citations
9.
Park, Jeong‐Won, Hyun‐Cheol Kim, Anton Korosov, et al.. (2021). Feasibility Study on Estimation of Sea Ice Drift from KOMPSAT-5 and COSMO-SkyMed SAR Images. Remote Sensing. 13(20). 4038–4038. 5 indexed citations
10.
Cheng, Bin, Matti Leppäranta, Fengming Hui, et al.. (2021). The seasonal cycle and break-up of landfast sea ice along the northwest coast of Kotelny Island, East Siberian Sea. Journal of Glaciology. 68(267). 153–165. 8 indexed citations
11.
Korosov, Anton, et al.. (2021). Thermal Denoising of Cross-Polarized Sentinel-1 Data in Interferometric and Extra Wide Swath Modes. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 18 indexed citations
12.
Marbouti, Marjan, et al.. (2020). Evaluating Landfast Sea Ice Ridging near UtqiaġVik Alaska Using TanDEM-X Interferometry. Remote Sensing. 12(8). 1247–1247. 7 indexed citations
13.
Demchev, Denis, et al.. (2020). Improving Sea Ice Drift Retrieval from SAR Images Using Phase- and Cross-Correlation Techniques. Chalmers Research (Chalmers University of Technology). 1378–1381. 2 indexed citations
14.
Demchev, Denis, et al.. (2019). AARI methodology for sea ice charts composition. SHILAP Revista de lepidopterología. 14 indexed citations
15.
Волков, В. А., et al.. (2019). Regularities of the Variability of Large-Scale Sea Ice Drift Structures in the Arctic Ocean (Based on Satellite Data, 1978–2017). Doklady Earth Sciences. 488(2). 1190–1192. 2 indexed citations
16.
Demchev, Denis, et al.. (2017). Feature tracking for sea ice drift retrieval from SAR images. 330–333. 3 indexed citations
18.
Demchev, Denis, et al.. (2017). Sea Ice Drift Tracking From Sequential SAR Images Using Accelerated-KAZE Features. IEEE Transactions on Geoscience and Remote Sensing. 55(9). 5174–5184. 43 indexed citations
19.
Yu, Yang, et al.. (2015). Model simulations of the annual cycle of the landfast ice thickness in the East Siberian Sea. 26. 168–178. 4 indexed citations
20.
Kulakov, M. & Denis Demchev. (2015). Simulation of iceberg drift as a component of ice monitoring in the West Arctic. Russian Meteorology and Hydrology. 40(12). 807–813. 8 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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