Е. В. Дмитриев

424 total citations
50 papers, 300 citations indexed

About

Е. В. Дмитриев is a scholar working on Ecology, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Е. В. Дмитриев has authored 50 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 16 papers in Environmental Engineering and 15 papers in Atmospheric Science. Recurrent topics in Е. В. Дмитриев's work include Remote Sensing in Agriculture (22 papers), Remote-Sensing Image Classification (13 papers) and Remote Sensing and LiDAR Applications (12 papers). Е. В. Дмитриев is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Remote-Sensing Image Classification (13 papers) and Remote Sensing and LiDAR Applications (12 papers). Е. В. Дмитриев collaborates with scholars based in Russia, France and Tajikistan. Е. В. Дмитриев's co-authors include Anton Sokolov, Anastasiia Safonova, Elena Moltchanova, Dmitry Schepaschenko, А. Shvidenko, Malik Chami, Florian Kraxner, Linda See, О. В. Мартыненко and Volodymyr Blyshchyk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and International Journal of Remote Sensing.

In The Last Decade

Е. В. Дмитриев

46 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Е. В. Дмитриев Russia	10	130	117	79	78	62	50	300
Guillaume Lassalle France	13	257 2.0×	99 0.8×	96 1.2×	129 1.7×	55 0.9×	22	436
Khongor Tsogt Taiwan	5	143 1.1×	89 0.8×	87 1.1×	45 0.6×	51 0.8×	7	224
Frankie Kwan Kit Wong Hong Kong	8	195 1.5×	134 1.1×	78 1.0×	53 0.7×	43 0.7×	16	304
Anna Jarocińska Poland	11	268 2.1×	110 0.9×	85 1.1×	84 1.1×	62 1.0×	30	352
Armand LaRocque Canada	11	175 1.3×	127 1.1×	116 1.5×	39 0.5×	99 1.6×	40	436
Hongxing Liu China	8	148 1.1×	168 1.4×	111 1.4×	35 0.4×	50 0.8×	18	306
Marlena Kycko Poland	11	242 1.9×	101 0.9×	100 1.3×	65 0.8×	65 1.0×	23	365
P. Defourny Belgium	5	223 1.7×	150 1.3×	131 1.7×	106 1.4×	83 1.3×	7	380
Erik Haß Germany	6	190 1.5×	89 0.8×	147 1.9×	85 1.1×	36 0.6×	6	328
Sam Gillingham New Zealand	7	259 2.0×	162 1.4×	141 1.8×	52 0.7×	54 0.9×	12	351

Countries citing papers authored by Е. В. Дмитриев

Since Specialization

Citations

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

Fields of papers citing papers by Е. В. Дмитриев

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. В. Дмитриев. 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 Е. В. Дмитриев. The network helps show where Е. В. Дмитриев may publish in the future.

Co-authorship network of co-authors of Е. В. Дмитриев

This figure shows the co-authorship network connecting the top 25 collaborators of Е. В. Дмитриев. A scholar is included among the top collaborators of Е. В. Дмитриев 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 Е. В. Дмитриев. Е. В. Дмитриев is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Дмитриев, Е. В., et al.. (2024). Determining mixed forest species composition based on joint processing of public satellite maps and multi-temporal Sentinel-2 images. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 21(1). 31–50.

Дмитриев, Е. В., et al.. (2022). Segmentation of Natural and Anthropogenic Objects by Panchromatic Satellite Images Using Statistical Textural Features. Optoelectronics Instrumentation and Data Processing. 58(2). 167–179. 1 indexed citations

Safonova, Anastasiia, et al.. (2021). Individual Tree Crown Delineation for the Species Classification and Assessment of Vital Status of Forest Stands from UAV Images. Drones. 5(3). 77–77. 41 indexed citations

Dieudonné, Elsa, Hervé Delbarre, Anton Sokolov, et al.. (2020). Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans. Atmospheric measurement techniques. 13(12). 6579–6592. 5 indexed citations

Дмитриев, Е. В. & Vladislav Myasnikov. (2019). Possibility estimation of 3D scene reconstruction from multiple images. 293–296. 2 indexed citations

Дмитриев, Е. В., et al.. (2019). Remote Sensing Methods for the Retrieval of Inventory and Bioproductivity Parameters of Forests Using High Resolution Satellite Images. SHILAP Revista de lepidopterología. 75. 1003–1003. 2 indexed citations

Дмитриев, Е. В., et al.. (2018). Some Aspects of Regulatory Criteria for Metal-ligand Homeostasis in Epidermal Cells. 1(3). 22–32. 2 indexed citations

Дмитриев, Е. В., et al.. (2018). Combining Classifiers in the Problem of Thematic Processing of Hyperspectral Aerospace Images. Optoelectronics Instrumentation and Data Processing. 54(3). 213–221. 15 indexed citations

Дмитриев, Е. В., et al.. (2017). HYPERSPECTRAL REMOTE SENSING IMAGERY PROCESSING: AN OVERVIEW. 2–18. 1 indexed citations

10.

Дмитриев, Е. В., et al.. (2017). Recognition of Forest Species and Ages Using Algorithms Based on Error-Correcting Output Codes. Journal of Siberian Federal University Engineering & Technologies. 10(6). 794–804. 2 indexed citations

11.

Дмитриев, Е. В., et al.. (2016). Сравнительный анализ алгоритмов распознавания объектов лесного покрова на гиперспектральных аэрокосмических изображениях. Исследования Земли из космоса. 45–55.

12.

Дмитриев, Е. В., et al.. (2015). COGNITIVE TECHNOLOGIES IN OPTICAL REMOTE SENSING DATA PROCESSING. 5–45. 1 indexed citations

13.

Дмитриев, Е. В., et al.. (2015). Improved technique for retrieval of forest parameters from hyperspectral remote sensing data. Optics Express. 23(24). A1342–A1342. 7 indexed citations

14.

Баумане, Л., et al.. (2014). Nitric oxide and electrogenic metals (Ca, Na, K) in epidermal cells. Biochemistry (Moscow) Supplement Series B Biomedical Chemistry. 8(4). 343–348.

15.

Дмитриев, Е. В., et al.. (2014). A system for processing hyperspectral imagery: application to detecting forest species. International Journal of Remote Sensing. 35(15). 5926–5945. 10 indexed citations

16.

Дмитриев, Е. В., et al.. (2014). Recognition of natural and man-made objects in airborne hyperspectral images. Izvestiya Atmospheric and Oceanic Physics. 50(9). 878–886. 4 indexed citations

17.

Sokolov, Anton, Malik Chami, Е. В. Дмитриев, & Г. А. Хоменко. (2010). Parameterization of volume scattering function of coastal waters based on the statistical approach. Optics Express. 18(5). 4615–4615. 13 indexed citations

18.

Дмитриев, Е. В., et al.. (2009). Parameterization of light absorption by components of seawater in optically complex coastal waters of the Crimea Peninsula (Black Sea). Applied Optics. 48(7). 1249–1249. 15 indexed citations

19.

Дмитриев, Е. В., et al.. (2008). Statistical model for downscaling extreme surface temperatures at the weather station network in the Moscow region. Russian Meteorology and Hydrology. 33(7). 407–415. 1 indexed citations

20.

Иорданский, А. Л., Е. В. Дмитриев, Pavel Kamaev, & Г. Е. Заиков. (2000). Desorption of Human Serum Albumin and Human Fibrinogen from the Poly(3-Hydroxybutyrate) Surface. International Journal of Polymeric Materials. 46(3-4). 629–639. 4 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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