Alexander Kupriyanov

1.2k total citations
117 papers, 868 citations indexed

About

Alexander Kupriyanov is a scholar working on Computer Vision and Pattern Recognition, Global and Planetary Change and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alexander Kupriyanov has authored 117 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 22 papers in Global and Planetary Change and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alexander Kupriyanov's work include Retinal Imaging and Analysis (17 papers), Land Use and Ecosystem Services (16 papers) and Remote Sensing in Agriculture (16 papers). Alexander Kupriyanov is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Land Use and Ecosystem Services (16 papers) and Remote Sensing in Agriculture (16 papers). Alexander Kupriyanov collaborates with scholars based in Russia, Hong Kong and United States. Alexander Kupriyanov's co-authors include Mukesh Singh Boori, Komal Choudhary, Rustam Paringer, Nataly Ilyasova, Samuel Corgne, Wenzhong Shi, Amit Sharma, Atsuko Sugimoto, Mariele Evers and Andrey Kuznetsov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Ecological Informatics.

In The Last Decade

Alexander Kupriyanov

103 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Kupriyanov Russia 15 339 208 132 121 112 117 868
Rustam Paringer Russia 14 257 0.8× 169 0.8× 130 1.0× 93 0.8× 78 0.7× 64 634
Li He China 17 142 0.4× 90 0.4× 295 2.2× 56 0.5× 145 1.3× 47 955
Elisabetta Binaghi Italy 17 272 0.8× 228 1.1× 16 0.1× 194 1.6× 179 1.6× 53 882
Fei Deng China 13 105 0.3× 105 0.5× 13 0.1× 155 1.3× 50 0.4× 60 703
Isabel Sargent United Kingdom 9 360 1.1× 428 2.1× 18 0.1× 253 2.1× 136 1.2× 19 1.3k
Consuelo Gonzalo‐Martín Spain 20 150 0.4× 233 1.1× 68 0.5× 331 2.7× 189 1.7× 94 1.1k
Yu Meng China 14 174 0.5× 106 0.5× 20 0.2× 60 0.5× 72 0.6× 53 581
Kai Jia China 17 518 1.5× 165 0.8× 15 0.1× 288 2.4× 123 1.1× 64 1.2k
Zhongyi Sun China 16 708 2.1× 382 1.8× 17 0.1× 128 1.1× 61 0.5× 76 1.4k
Caleb Robinson United States 12 99 0.3× 87 0.4× 36 0.3× 76 0.6× 120 1.1× 34 882

Countries citing papers authored by Alexander Kupriyanov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Kupriyanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Kupriyanov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Kupriyanov. A scholar is included among the top collaborators of Alexander Kupriyanov 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 Alexander Kupriyanov. Alexander Kupriyanov 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.
Choudhary, Komal, et al.. (2023). Agricultural land suitability assessment for sustainable development using remote sensing techniques with analytic hierarchy process. Remote Sensing Applications Society and Environment. 32. 101051–101051. 17 indexed citations
3.
Kupriyanov, Alexander, et al.. (2023). CONCEPTUAL MODEL OF THE DIGITAL PLANT OF MANUFACTURING ENTERPRISES IN THE AEROSPACE INDUSTRY. 25(3). 90–106. 2 indexed citations
4.
5.
Kupriyanov, Alexander, et al.. (2022). US–Indian Relations: Formation of an Alliance or a Temporary Partnership?. Herald of the Russian Academy of Sciences. 92(S4). S285–S292. 2 indexed citations
6.
Boori, Mukesh Singh, Komal Choudhary, Rustam Paringer, et al.. (2019). Monitoring Crop Phenology Using NDVI Time Series from Sentinel 2 Satellite Data. 62–66. 15 indexed citations
7.
Choudhary, Komal, Mukesh Singh Boori, & Alexander Kupriyanov. (2019). Groundwater Potential Zones in Relation to Catchment Condition in Orenburg, Russia. 60–65. 2 indexed citations
8.
Ilyasova, Nataly, et al.. (2018). Investigation of algorithms for coagulate arrangement in fundus images. Computer Optics. 42(4). 712–721. 32 indexed citations
9.
Boori, Mukesh Singh, et al.. (2018). Comparison of hyperspectral and multi-spectral imagery to building a spectral library and land cover classification performance. Computer Optics. 42(6). 1035–1045. 15 indexed citations
10.
Choudhary, Komal, Mukesh Singh Boori, & Alexander Kupriyanov. (2017). Spatio-temporal analysis through remote sensing and GIS in Moscow region, Russia. 42–46. 1 indexed citations
11.
Kupriyanov, Alexander, et al.. (2017). Research of an algorithm for crystal lattice parameter identification based on the gradient steepest descent method. Computer Optics. 41(3). 453–460. 7 indexed citations
12.
Boori, Mukesh Singh, et al.. (2016). Satellite data for Singapore, Manila and Kuala Lumpur city growth analysis. Data in Brief. 7. 1576–1583. 16 indexed citations
13.
Boori, Mukesh Singh, Komal Choudhary, Alexander Kupriyanov, & Rustam Paringer. (2016). LAND USE/COVER CHANGE DETECTION AND VULNERABILITY ASSESSMENT IN INDIGIRKA RIVER BASIN, EASTERN SIBERIA, RUSSIA. 270–283. 2 indexed citations
14.
Kupriyanov, Alexander, et al.. (2016). PARALLEL IMPLEMENTATIONS OF PARAMETRIC IDENTIFICATION ALGORITHMS FOR THREEDIMENSIONAL CRYSTAL LATTICES. 451–459. 3 indexed citations
15.
Kupriyanov, Alexander, et al.. (2016). APPLICATION OF GRADIENT STEEPEST DESCENT METHOD TO THE PROBLEM OF CRYSTAL LATTICE PARAMETRIC IDENTIFICATION. 393–400. 5 indexed citations
16.
Boori, Mukesh Singh, et al.. (2015). Four decades urban growth and land use change in Samara Russia through remote sensing and GIS techniques. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9817. 98171A–98171A. 13 indexed citations
17.
Kupriyanov, Alexander, et al.. (2015). Identification of Three-Dimensional Crystal Lattices by Estimation of Their Unit Cell Parameters.. 40–45. 5 indexed citations
18.
Kupriyanov, Alexander, et al.. (2015). Application of fuzzy neural networks for defining crystal lattice types in nanoscale images. Computer Optics. 39(5). 787–794. 8 indexed citations
19.
Ilyasova, Nataly, Alexander Kupriyanov, & Rustam Paringer. (2014). Formation features for improving the quality of medical diagnosis based on the discriminant analysis methods. Computer Optics. 38(4). 851–855. 29 indexed citations
20.
Kupriyanov, Alexander, et al.. (2000). Experemental investigations of transcritical heat transfer on an electrically heated model of a fuel assembly. Atomic Energy. 88(4). 263–267. 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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