D. Amarsaikhan

620 total citations
29 papers, 471 citations indexed

About

D. Amarsaikhan is a scholar working on Media Technology, Atmospheric Science and Ecology. According to data from OpenAlex, D. Amarsaikhan has authored 29 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Media Technology, 18 papers in Atmospheric Science and 15 papers in Ecology. Recurrent topics in D. Amarsaikhan's work include Remote-Sensing Image Classification (18 papers), Remote Sensing and Land Use (16 papers) and Remote Sensing in Agriculture (14 papers). D. Amarsaikhan is often cited by papers focused on Remote-Sensing Image Classification (18 papers), Remote Sensing and Land Use (16 papers) and Remote Sensing in Agriculture (14 papers). D. Amarsaikhan collaborates with scholars based in Mongolia, Germany and Austria. D. Amarsaikhan's co-authors include Hans Heinrich Blotevogel, Temple A. Douglas, Clement Atzberger, Jonathan Chambers, J.L. van Genderen, Peter Ache, Sebastian Böck, Motoyuki Sato, Hasi Bagan and Qinxue Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

D. Amarsaikhan

25 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Amarsaikhan Mongolia	9	213	198	143	117	108	29	471
Qiandong Guo China	11	348 1.6×	134 0.7×	220 1.5×	63 0.5×	187 1.7×	19	623
Shucheng You China	9	265 1.2×	210 1.1×	90 0.6×	149 1.3×	129 1.2×	25	580
Emanuele Angiuli Italy	8	112 0.5×	153 0.8×	143 1.0×	153 1.3×	232 2.1×	15	490
Hermann Johann Heinrich Kux Brazil	9	147 0.7×	134 0.7×	99 0.7×	91 0.8×	164 1.5×	32	394
Hayder Dibs Iraq	11	113 0.5×	111 0.6×	70 0.5×	108 0.9×	124 1.1×	25	374
Christopher F. Brown United States	4	96 0.5×	291 1.5×	145 1.0×	180 1.5×	326 3.0×	5	615
Dawei Wen China	12	296 1.4×	142 0.7×	217 1.5×	144 1.2×	223 2.1×	18	584
Benjamin Jakimow Germany	9	133 0.6×	259 1.3×	91 0.6×	143 1.2×	201 1.9×	11	450
Ram C. Sharma Japan	13	82 0.4×	248 1.3×	125 0.9×	268 2.3×	294 2.7×	40	581
Frieke M.B. Van Coillie Belgium	9	110 0.5×	186 0.9×	135 0.9×	158 1.4×	252 2.3×	16	493

Countries citing papers authored by D. Amarsaikhan

Since Specialization

Citations

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

Fields of papers citing papers by D. Amarsaikhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Amarsaikhan

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

Bagan, Hasi, et al.. (2024). Time-Series Analysis of Mining-Induced Subsidence in the Arid Region of Mongolia Based on SBAS-InSAR. Remote Sensing. 16(12). 2166–2166. 7 indexed citations

Amarsaikhan, D., et al.. (2023). Interpretation of Scattering Characteristics of Radar L and C-Channel Data. 4(1). 85–93.

Amarsaikhan, D., et al.. (2023). Estimation and mapping of pasture biomass in Mongolia using machine learning methods. Geocarto International. 38(1). 5 indexed citations

Amarsaikhan, D., et al.. (2022). Land cover classification using machine-learning method and vegetation indices. 235–242.

Amarsaikhan, D., et al.. (2022). Analysis of Relations Between Aboveground Biomass and Vegetation Indices Derived from Sentinel-2 Satellite Data. 4(1). 94–100.

Amarsaikhan, D., et al.. (2021). Comparison of Spectral Signatures in Hyperspectral and Multispectral Data. Advances in engineering research. 206. 4 indexed citations

Amarsaikhan, D., et al.. (2021). Application of Hyperspectral Data for Land Cover Classification. Advances in engineering research. 206. 1 indexed citations

Amarsaikhan, D.. (2020). ADVANCED CLASSIFICATION OF OPTICAL AND SAR IMAGES FOR URBAN LAND COVER MAPPING. SHILAP Revista de lepidopterología. XLIII-B3-2020. 1417–1421. 3 indexed citations

Atzberger, Clement, et al.. (2017). Land Suitability Evaluation for Agricultural Cropland in Mongolia Using the Spatial MCDM Method and AHP Based GIS. Journal of Geoscience and Environment Protection. 5(9). 238–263. 26 indexed citations

10.

Amarsaikhan, D., et al.. (2014). A Study on Air Pollution in Ulaanbaatar City, Mongolia. Journal of Geoscience and Environment Protection. 2(2). 123–128. 34 indexed citations

11.

Amarsaikhan, D., et al.. (2013). Knowledge-based Classification of Quickbird Image of Ulaanbaatar City, Mongolia. 3(3). 71–77. 2 indexed citations

12.

Amarsaikhan, D., et al.. (2013). Applications of Remote Sensing Techniques and GIS for Urban Land Change Studies in Mongolia. 2(3). 27–36. 1 indexed citations

13.

Amarsaikhan, D., et al.. (2011). Applications of remote sensing (RS) and geographical information system (GIS) for urban land use change study in Ulaanbaatar City, Mongolia. Journal of Geography and Regional Planning. 4(8). 471–481. 5 indexed citations

14.

Amarsaikhan, D., et al.. (2011). Applications of GIS and Very High-Resolution RS Data for Urban Land Use Change Studies in Mongolia. 2011. 1–8. 11 indexed citations

15.

Amarsaikhan, D., et al.. (2010). Fusing high-resolution SAR and optical imagery for improved urban land cover study and classification. International Journal of Image and Data Fusion. 1(1). 83–97. 89 indexed citations

16.

Amarsaikhan, D., et al.. (2009). Integrated method to extract information from high and very high resolution RS images for urban planning. Journal of Geography and Regional Planning. 2(10). 258–267. 6 indexed citations

17.

Amarsaikhan, D., et al.. (2009). Applications of remote sensing and geographic information systems for urban land-cover change studies in Mongolia. Geocarto International. 24(4). 257–271. 32 indexed citations

18.

Amarsaikhan, D., et al.. (2006). The integrated use of optical and InSAR data for urban land‐cover mapping. International Journal of Remote Sensing. 28(6). 1161–1171. 43 indexed citations

19.

Amarsaikhan, D. & Temple A. Douglas. (2004). Data fusion and multisource image classification. International Journal of Remote Sensing. 25(17). 3529–3539. 74 indexed citations

20.

Amarsaikhan, D. & Motoyuki Sato. (2003). Validation of the Pi-SAR Data for Land Cover Mapping. National Remote Sensing Bulletin. 24(2). 133–139. 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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