A.G. Terekhov

943 total citations
40 papers, 270 citations indexed

About

A.G. Terekhov is a scholar working on Atmospheric Science, Soil Science and Ecology. According to data from OpenAlex, A.G. Terekhov has authored 40 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 13 papers in Soil Science and 11 papers in Ecology. Recurrent topics in A.G. Terekhov's work include Soil and Environmental Studies (13 papers), Remote Sensing in Agriculture (11 papers) and Climate change and permafrost (8 papers). A.G. Terekhov is often cited by papers focused on Soil and Environmental Studies (13 papers), Remote Sensing in Agriculture (11 papers) and Climate change and permafrost (8 papers). A.G. Terekhov collaborates with scholars based in Kazakhstan, Russia and United States. A.G. Terekhov's co-authors include Volker C. Radeloff, Roland Kraemer, Daniel Müller, Tobias Kuemmerle, Alexander V. Prishchepov, Andrey Dara, I. Vitkovskaya, Yedilkhan Amirgaliyev, Prakash Doraiswamy and Yan Kuchin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Environmental Research Letters.

In The Last Decade

A.G. Terekhov

33 papers receiving 240 citations

Peers

A.G. Terekhov

GPC

ECOLO

MMPL

Afag Rizayeva United States

Argemiro Teixeira Leite‐Filho Brazil

Oumar Diallo United States

Renate Fleiner Switzerland

Sumedha Malaviya India

Reshmita Nath China

Mayowa Fasona Nigeria

Christian Hergarten Switzerland

Raymond Sluiter Netherlands

B. Daudert United States

Afag Rizayeva United States

A.G. Terekhov

214 ×1.9

GPC

214 ×2.6

ECOLO

73 ×0.9

49 ×0.7

103 ×1.7

MMPL

Citations per year, relative to A.G. Terekhov A.G. Terekhov (= 1×) peers Afag Rizayeva

Countries citing papers authored by A.G. Terekhov

Since Specialization

Citations

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

Fields of papers citing papers by A.G. Terekhov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.G. Terekhov. 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 A.G. Terekhov. The network helps show where A.G. Terekhov may publish in the future.

Co-authorship network of co-authors of A.G. Terekhov

This figure shows the co-authorship network connecting the top 25 collaborators of A.G. Terekhov. A scholar is included among the top collaborators of A.G. Terekhov 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 A.G. Terekhov. A.G. Terekhov 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

Savin, I. Yu., A.G. Terekhov, & Ravil I. Mukhamediev. (2025). Soil line concept and its use for soil mapping and monitoring (overview). Dokuchaev Soil Bulletin. 174–193.

Mukhamediev, Ravil I., A.G. Terekhov, Yedilkhan Amirgaliyev, et al.. (2024). Using Pseudo-Color Maps and Machine Learning Methods to Estimate Long-Term Salinity of Soils. Agronomy. 14(9). 2103–2103. 6 indexed citations

Terekhov, A.G., et al.. (2024). Prospects for Using Pseudocolor Image Processing in the Analysis of Multiyear Time Series of Satellite Data in the Task of Assessing the State of Vegetation Cover. Cosmic Research. 62(S1). S130–S140.

Terekhov, A.G., et al.. (2024). Spectral characteristics of saline arable land in the foothill catchment Zailiisky Alatau ridge (Northern Tien-Shan) during 2016–2022 using Sentinel-2 data. Sustainable Development of Mountain Territories. 16(1). 143–155. 2 indexed citations

Mukhamediev, Ravil I., Yedilkhan Amirgaliyev, Yan Kuchin, et al.. (2023). Operational Mapping of Salinization Areas in Agricultural Fields Using Machine Learning Models Based on Low-Altitude Multispectral Images. Drones. 7(6). 357–357. 11 indexed citations

Mukhamediev, Ravil I., A.G. Terekhov, Yedilkhan Amirgaliyev, et al.. (2023). Estimation of the Water Level in the Ili River from Sentinel-2 Optical Data Using Ensemble Machine Learning. Remote Sensing. 15(23). 5544–5544. 3 indexed citations

Terekhov, A.G., et al.. (2023). Estimation of average long-term soil salinity of arable land Golodnaya Steppe in Kazakhstan. SHILAP Revista de lepidopterología. 449. 6004–6004.

Savin, I. Yu., et al.. (2023). Satellite Monitoring of Salinization of Irrigated Soils in Southern Kazakhstan. Eurasian Soil Science. 56(10). 1498–1506. 3 indexed citations

Savin, I. Yu., et al.. (2023). Satellite monitoring of winter irrigation activity in South Kazakhstan: A case study of Golognaya Step irrigated region. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 20(3). 152–163. 1 indexed citations

10.

Terekhov, A.G., et al.. (2021). Extremal snowfall on March 13–14, 2021, in the South Kazakhstan. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 18(4). 279–284. 1 indexed citations

11.

Terekhov, A.G., et al.. (2021). Satellite monitoring of River Amu Darya oases during 2003–2020 based on irrigation cooling effect. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 18(5). 123–132. 2 indexed citations

12.

Terekhov, A.G., et al.. (2020). Snow cover changes of the Kazakhstan dry steppes and semi-deserts: the case of River Emba basin studies. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 17(2). 101–113. 5 indexed citations

13.

Terekhov, A.G., et al.. (2020). Diagnostics of water availability for agricultural crops in Xinjiang (China) in 2003–2019 based on eMODIS NDVI C6 data. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 17(1). 128–138. 6 indexed citations

14.

Terekhov, A.G., et al.. (2020). Satellite monitoring of the Sardoba Reservoir in Syr Darya River basin (Uzbekistan) before and after a dam collapses on May 1, 2020. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 17(3). 255–260. 6 indexed citations

15.

Terekhov, A.G., et al.. (2020). Streamflow response of the Ural River to basin snow depth changes during 2001–2019. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 17(5). 181–190. 3 indexed citations

16.

Terekhov, A.G., et al.. (2020). A critical shallowing of Lake Ebinur, Xinjiang, China, in 2020. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 17(7). 265–269.

17.

Terekhov, A.G., et al.. (2020). Links between the vegetation state over Tien-Shan mountains and North Atlantic Oscillation indices of the upcoming season. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 17(2). 275–281. 5 indexed citations

18.

Terekhov, A.G., et al.. (2020). The effect of changing stratification in the atmosphere in central zone of Eurasia according to vegetation data of Tien Shan mountains during 2002-2019. SHILAP Revista de lepidopterología. 149. 3004–3004. 7 indexed citations

19.

Terekhov, A.G., et al.. (2019). Influence of the Kapshagay Reservoir (China) refill on transboundary River Ile runoff and satellite-based forecasting. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 16(4). 298–302. 9 indexed citations

20.

Terekhov, A.G., et al.. (2019). Anomalous snow regime in 2019 and long-term trends in snow depth in Kazakhstan. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 16(5). 351–355. 9 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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