Rustam Paringer

916 total citations
64 papers, 634 citations indexed

About

Rustam Paringer is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ecology. According to data from OpenAlex, Rustam Paringer has authored 64 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 18 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Ecology. Recurrent topics in Rustam Paringer's work include Retinal Imaging and Analysis (18 papers), Remote Sensing in Agriculture (11 papers) and Glaucoma and retinal disorders (8 papers). Rustam Paringer is often cited by papers focused on Retinal Imaging and Analysis (18 papers), Remote Sensing in Agriculture (11 papers) and Glaucoma and retinal disorders (8 papers). Rustam Paringer collaborates with scholars based in Russia, Hong Kong and United States. Rustam Paringer's co-authors include Alexander Kupriyanov, Komal Choudhary, Mukesh Singh Boori, Nataly Ilyasova, Wenzhong Shi, Dong Yu, Pavel A. Khorin, Mariele Evers, Samuel Corgne and Amit Sharma and has published in prestigious journals such as Journal of Environmental Management, Advances in Space Research and Electronics.

In The Last Decade

Rustam Paringer

55 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rustam Paringer Russia 14 257 169 130 93 81 64 634
Alexander Kupriyanov Russia 15 339 1.3× 208 1.2× 132 1.0× 121 1.3× 110 1.4× 117 868
Mario Lillo‐Saavedra Chile 18 362 1.4× 244 1.4× 47 0.4× 133 1.4× 194 2.4× 52 913
Johan Harlan Indonesia 10 85 0.3× 135 0.8× 18 0.1× 32 0.3× 73 0.9× 29 372
Yu Meng China 14 174 0.7× 106 0.6× 20 0.2× 60 0.6× 157 1.9× 53 581
Wei Mao China 16 152 0.6× 133 0.8× 22 0.2× 32 0.3× 45 0.6× 54 653
Pushpendra Singh Sisodia India 8 101 0.4× 67 0.4× 24 0.2× 32 0.3× 41 0.5× 16 367
Saeed Al Mansoori United Arab Emirates 13 102 0.4× 73 0.4× 19 0.1× 184 2.0× 107 1.3× 76 655
Mohamad M. Awad Lebanon 13 104 0.4× 153 0.9× 12 0.1× 102 1.1× 143 1.8× 41 591
Prashant Baral India 13 124 0.5× 66 0.4× 7 0.1× 37 0.4× 124 1.5× 18 544
Wenhui Zhao China 12 198 0.8× 122 0.7× 15 0.1× 44 0.5× 63 0.8× 33 511

Countries citing papers authored by Rustam Paringer

Since Specialization
Citations

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

Fields of papers citing papers by Rustam Paringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rustam Paringer

This figure shows the co-authorship network connecting the top 25 collaborators of Rustam Paringer. A scholar is included among the top collaborators of Rustam Paringer 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 Rustam Paringer. Rustam Paringer 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
3.
4.
Ilyasova, Nataly, et al.. (2023). Automatic Selection of the Optimal Zone for Laser Exposure According to the Fundus Images for Laser Coagulation. Journal of Biomedical Photonics & Engineering. 9(4). 40308–40308.
5.
Ilyasova, Nataly, et al.. (2023). Application of artificial intelligence in ophthalmology for solving the problem of semantic segmentation of fundus images. Computer Optics. 47(5). 824–831. 1 indexed citations
6.
Paringer, Rustam, et al.. (2022). Neural network application for semantic segmentation of fundus. Computer Optics. 46(4). 8 indexed citations
7.
Paringer, Rustam, et al.. (2021). Formation of an informative index for recognizing specified objects in hyperspectral data. Computer Optics. 45(6). 3 indexed citations
8.
Paringer, Rustam, et al.. (2020). Modification of blurred image matching method. Computer Optics. 44(3). 2 indexed citations
9.
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
10.
Ilyasova, Nataly, et al.. (2019). Technology of intellectual feature selection for a system of automatic formation of a coagulate plan on retina. Computer Optics. 43(2). 19 indexed citations
12.
Khorin, Pavel A., Nataly Ilyasova, & Rustam Paringer. (2018). Informative feature selection based on the Zernike polynomial coefficients for various pathologies of the human eye cornea. Computer Optics. 42(1). 159–166. 17 indexed citations
13.
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
16.
Paringer, Rustam, et al.. (2017). Parallel implementation of the informative areas generation method in the spatial spectrum domain. Computer Optics. 41(4). 585–587. 1 indexed citations
17.
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
19.
Ilyasova, Nataly, et al.. (2016). THE EFFECTIVE FEATURES FORMATION FOR THE IDENTIFICATION OF REGIONS OF INTEREST IN A FUNDUS IMAGES. 788–795. 7 indexed citations
20.
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

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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