С.А. Барталев

2.6k total citations
116 papers, 1.7k citations indexed

About

С.А. Барталев is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, С.А. Барталев has authored 116 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Global and Planetary Change, 59 papers in Ecology and 38 papers in Environmental Engineering. Recurrent topics in С.А. Барталев's work include Remote Sensing in Agriculture (52 papers), Remote Sensing and LiDAR Applications (36 papers) and Fire effects on ecosystems (33 papers). С.А. Барталев is often cited by papers focused on Remote Sensing in Agriculture (52 papers), Remote Sensing and LiDAR Applications (36 papers) and Fire effects on ecosystems (33 papers). С.А. Барталев collaborates with scholars based in Russia, Italy and United States. С.А. Барталев's co-authors include Е.А. Loupian, А. С. Исаев, Д.Е. Плотников, Alan Belward, С.С. Шинкаренко, Д.В. Ершов, Christiane Schmullius, И.А. Уваров, A.V. Kashnitskii and Sophie Bontemps and has published in prestigious journals such as Scientific Reports, Journal of Climate and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

С.А. Барталев

100 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
С.А. Барталев Russia 20 900 711 429 358 225 116 1.7k
Guojie Wang China 26 1.4k 1.6× 353 0.5× 566 1.3× 493 1.4× 171 0.8× 91 2.7k
Jinshui Zhang China 19 1.1k 1.2× 994 1.4× 471 1.1× 447 1.2× 100 0.4× 81 2.0k
Carlos Antônio Costa dos Santos Brazil 25 1.2k 1.3× 610 0.9× 375 0.9× 326 0.9× 196 0.9× 133 2.0k
Ni Huang China 26 1.0k 1.1× 1.1k 1.5× 327 0.8× 677 1.9× 243 1.1× 69 1.9k
Myroslava Lesiv Austria 25 1.1k 1.3× 896 1.3× 370 0.9× 480 1.3× 94 0.4× 55 2.0k
Stephen McNeill New Zealand 17 366 0.4× 477 0.7× 209 0.5× 498 1.4× 522 2.3× 55 1.6k
Ursula Geßner Germany 29 1.4k 1.6× 1.2k 1.7× 786 1.8× 616 1.7× 147 0.7× 65 2.7k
Thomas Houet France 26 1.3k 1.5× 636 0.9× 444 1.0× 389 1.1× 125 0.6× 75 2.2k
Bikash Ranjan Parida India 25 1.3k 1.5× 744 1.0× 488 1.1× 430 1.2× 224 1.0× 93 2.0k
Hanna Meyer Germany 19 663 0.7× 707 1.0× 370 0.9× 716 2.0× 171 0.8× 49 1.8k

Countries citing papers authored by С.А. Барталев

Since Specialization
Citations

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

Fields of papers citing papers by С.А. Барталев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by С.А. Барталев. 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 С.А. Барталев. The network helps show where С.А. Барталев may publish in the future.

Co-authorship network of co-authors of С.А. Барталев

This figure shows the co-authorship network connecting the top 25 collaborators of С.А. Барталев. A scholar is included among the top collaborators of С.А. Барталев 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 С.А. Барталев. С.А. Барталев 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.
Барталев, С.А., et al.. (2024). Assessment of damage to Russian forests by fires in the XXI century based on analysis of fire intensity using MODIS instrument. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 21(6). 233–249.
2.
Шинкаренко, С.С., et al.. (2024). Changes in the areas of open sands and deflated pastures in the southeastern part of European Russia in 2023. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 21(3). 321–330.
3.
Лукина, Н. В., С.А. Барталев, А. P. Geraskina, et al.. (2023). Role of Old-Growth Forests in Carbon Accumulation and Storage. Izvestiya Rossiiskoi Akademii Nauk Seriya Geograficheskaya. 87(4). 536–557. 1 indexed citations
4.
Шинкаренко, С.С. & С.А. Барталев. (2023). Application of remote sensing data for wetlands large-scale monitoring. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 20(6). 9–34.
5.
Shabanov, Nikolay V., et al.. (2023). A Semiempirical Approach for Decomposition of Remotely Sensed Leaf Area Index Into Overstory and Understory Components Over Russian Forests. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–17. 2 indexed citations
6.
Loupian, Е.А., et al.. (2023). Estimation of northern burnt forests mortality in the XXI century based on MODIS data on fire intensity. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 20(2). 292–301. 1 indexed citations
7.
Shvidenko, А., Liudmila Mukhortova, Ekaterina Kapitsa, et al.. (2022). A Modelling System for Dead Wood Assessment in the Forests of Northern Eurasia. Forests. 14(1). 45–45. 7 indexed citations
8.
Барталев, С.А., et al.. (2021). Use of remote sensing data in wildfire modelling. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 18(5). 9–27. 2 indexed citations
9.
Шинкаренко, С.С., et al.. (2021). Dynamics of water bodies areas in the Western Ilmen Lake Region of the Volga Delta. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 18(4). 285–290. 12 indexed citations
10.
Loupian, Е.А., et al.. (2020). ISDM-Rosleskhoz: 15 years of operation and evolution. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 17(7). 283–291. 19 indexed citations
11.
Waldner, François, Zvi Hochman, Terry Newby, et al.. (2019). Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. International Journal of Applied Earth Observation and Geoinformation. 80. 82–93. 31 indexed citations
12.
Плотников, Д.Е., Diego de Abelleyra, Santiago R. Verón, et al.. (2019). Using Crowdsourcing Datasets and Landsat Satellite Data for Cropland Mapping in Different Agrosystems of Global JECAM Network. 177–184. 1 indexed citations
13.
Loupian, Е.А., et al.. (2019). Experience of development and operation of the IKI-Monitoring center for collective use of systems for archiving, processing and analyzing satellite data. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 16(3). 151–170. 93 indexed citations
14.
Барталев, С.А., et al.. (2019). Forest change detection based on sub-pixel estimation of crown cover density using bitemporal satellite data. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 16(4). 102–110. 15 indexed citations
15.
Loupian, Е.А., et al.. (2019). Forest fires in Russia: specifics of the 2019 fire season. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 16(5). 356–363. 9 indexed citations
16.
17.
Плотников, Д.Е., et al.. (2018). Identification of dynamically homogeneous areas with time series segmentation of remote sensing data. Computer Optics. 42(3). 447–456. 16 indexed citations
18.
Барталев, С.А., et al.. (2017). Possibilities for regional assessment of winter wheat grains quality based on Earth observation data. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 14(7). 153–165. 2 indexed citations
19.
Waldner, François, Steffen Fritz, Antonio Di Gregorio, et al.. (2016). A Unified Cropland Layer at 250 m for Global Agriculture Monitoring. Data. 1(1). 3–3. 59 indexed citations
20.
Барталев, С.А., et al.. (2016). Method for estimating vegetation cover phenological characteristics from satellite data time series. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 13(1). 9–24. 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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