Dmitri Moisseev

4.6k total citations
104 papers, 2.1k citations indexed

About

Dmitri Moisseev is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Dmitri Moisseev has authored 104 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Atmospheric Science, 43 papers in Global and Planetary Change and 27 papers in Environmental Engineering. Recurrent topics in Dmitri Moisseev's work include Precipitation Measurement and Analysis (70 papers), Meteorological Phenomena and Simulations (65 papers) and Atmospheric aerosols and clouds (36 papers). Dmitri Moisseev is often cited by papers focused on Precipitation Measurement and Analysis (70 papers), Meteorological Phenomena and Simulations (65 papers) and Atmospheric aerosols and clouds (36 papers). Dmitri Moisseev collaborates with scholars based in Finland, United States and Germany. Dmitri Moisseev's co-authors include V. Chandrasekar, Jussi Leinonen, Annakaisa von Lerber, Stefan Kneifel, Haoran Li, Jani Tyynelä, Jussi Tiira, Sanghun Lim, Timo Nousiainen and Walter A. Petersen and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Dmitri Moisseev

98 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitri Moisseev Finland 27 1.9k 1.1k 384 226 117 104 2.1k
Alessandro Battaglia United Kingdom 30 2.5k 1.3× 1.7k 1.6× 363 0.9× 172 0.8× 88 0.8× 129 2.7k
C. D. Westbrook United Kingdom 22 1.6k 0.8× 1.3k 1.3× 211 0.5× 265 1.2× 236 2.0× 51 1.8k
A. R. Jameson United States 24 1.5k 0.8× 877 0.8× 558 1.5× 170 0.8× 114 1.0× 86 1.7k
Luca Baldini Italy 22 1.3k 0.7× 522 0.5× 545 1.4× 139 0.6× 29 0.2× 113 1.4k
Alexander Ryzhkov United States 30 2.7k 1.4× 1.3k 1.2× 1.1k 2.7× 204 0.9× 66 0.6× 71 2.9k
Gianfranco Vulpiani Italy 24 1.1k 0.6× 545 0.5× 456 1.2× 77 0.3× 31 0.3× 60 1.3k
Scott Giangrande United States 31 2.6k 1.4× 1.7k 1.6× 800 2.1× 92 0.4× 98 0.8× 79 2.8k
Sergey Y. Matrosov United States 42 4.2k 2.2× 3.0k 2.8× 746 1.9× 350 1.5× 297 2.5× 127 4.4k
Jean‐Pierre Pinty France 28 2.0k 1.1× 2.0k 1.9× 334 0.9× 82 0.4× 147 1.3× 52 2.4k
Marie Lothon France 24 1.1k 0.6× 1.1k 1.0× 468 1.2× 131 0.6× 110 0.9× 80 1.4k

Countries citing papers authored by Dmitri Moisseev

Since Specialization
Citations

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

Fields of papers citing papers by Dmitri Moisseev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitri Moisseev

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitri Moisseev. A scholar is included among the top collaborators of Dmitri Moisseev 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 Dmitri Moisseev. Dmitri Moisseev 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.
Pulkkinen, Seppo, et al.. (2025). Cell-tracking-based framework for assessing nowcasting model skill in reproducing growth and decay of convective rainfall. Geoscientific model development. 18(5). 1851–1878. 1 indexed citations
3.
Pulkkinen, Seppo, et al.. (2025). Benchmarking K DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations. Atmospheric measurement techniques. 18(3). 793–816. 1 indexed citations
4.
Brasseur, Zoé, Julia Schneider, Janne Lampilahti, et al.. (2024). Vertical distribution of ice nucleating particles over the boreal forest of Hyytiälä, Finland. Atmospheric chemistry and physics. 24(19). 11305–11332.
5.
Li, Haoran, et al.. (2023). Assessing specific differential phase ( K DP )-based quantitative precipitation estimation for the record- breaking rainfall over Zhengzhou city on 20 July 2021. Hydrology and earth system sciences. 27(5). 1033–1046. 11 indexed citations
6.
Sinclair, Victoria A., et al.. (2022). Boundary-layer height and surface stability at Hyytiälä, Finland, in ERA5 and observations. Atmospheric measurement techniques. 15(10). 3075–3103. 16 indexed citations
7.
Vogl, Teresa, et al.. (2022). Using artificial neural networks to predict riming from Doppler cloud radar observations. Atmospheric measurement techniques. 15(2). 365–381. 18 indexed citations
8.
Moisseev, Dmitri, Ville Vakkari, Matti Leskinen, et al.. (2021). Evaluation of convective boundary layer height estimates using radars operating at different frequency bands. Atmospheric measurement techniques. 14(11). 7341–7353. 5 indexed citations
9.
Moisseev, Dmitri, Ville Vakkari, Matti Leskinen, et al.. (2021). Evaluation of convective boundary layer height estimates using radars operating at different frequency bands. 1 indexed citations
10.
Li, Haoran, Ottmar Möhler, Tuukka Petäjä, & Dmitri Moisseev. (2021). Multiyear statistics of columnar ice production in stratiform clouds over Hyytiälä, Finland. 2 indexed citations
11.
Li, Haoran, Ottmar Möhler, Tuukka Petäjä, & Dmitri Moisseev. (2021). Two-year statistics of columnar-ice production in stratiform clouds over Hyytiälä, Finland: environmental conditions and the relevance to secondary ice production. Atmospheric chemistry and physics. 21(19). 14671–14686. 13 indexed citations
12.
Huang, Gwo‐Jong, V. N. Bringi, Andrew J. Newman, et al.. (2019). Dual-wavelength radar technique development for snow rate estimation: a case study from GCPEx. Atmospheric measurement techniques. 12(2). 1409–1427. 16 indexed citations
13.
Lerber, Annakaisa von, et al.. (2018). Snowfall retrieval at X, Ka and W bands: consistency of backscattering and microphysical properties using BAECC ground-based measurements. Atmospheric measurement techniques. 11(5). 3059–3079. 32 indexed citations
14.
Apituley, Arnoud, Ulla Wandinger, Gelsomina Pappalardo, et al.. (2018). ACTRIS Ground Based Remote Sensing and In Situ Observation Capacity for Satellite Calibration and Validation. EGU General Assembly Conference Abstracts. 6520. 1 indexed citations
15.
Koistinen, Jarmo, Harri Hohti, Janne Kauhanen, et al.. (2013). Probabilistic rainfall warning system with an interactive user interface. EGUGA. 1 indexed citations
16.
Lim, Sanghun, Dmitri Moisseev, V. Chandrasekar, & Dong-Ryul Lee. (2013). Classification and Quantification of Snow Based on Spatial Variability of Radar Reflectivity. Journal of the Meteorological Society of Japan Ser II. 91(6). 763–774. 4 indexed citations
17.
Moisseev, Dmitri. (2011). Refining and validating radar based hail identification by using Helsinki Testbed observations. 1 indexed citations
18.
Moisseev, Dmitri. (2009). Dual-polarization weather radar observations of supercooled water and enhanced ice multiplication areas. 3 indexed citations
19.
Moisseev, Dmitri & V. Chandrasekar. (2008). Adaptive ground clutter and noise filter based on dual-polarization spectral decompositions. European Radar Conference. 80–83.
20.
Moisseev, Dmitri. (2001). Improvement of polarimetric radar calibration for atmospheric radars. 1 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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