Rustam Paringer
Impact in
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services
- Ecology top 10%
- Remote Sensing in Agriculture
Papers in
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- Digital Imaging for Blood Diseases 6
-
- Retinal Imaging and Analysis 18
- Co-authors
- Alexander Kupriyanov (38 shared papers)Komal Choudhary (16 shared papers)Mukesh Singh Boori (16 shared papers)Nataly Ilyasova (23 shared papers)Dong Yu (1 shared paper)Wenzhong Shi (1 shared paper)Pavel A. Khorin (1 shared paper)Amit Sharma (1 shared paper)
- Journals
- Computer Optics (14 papers)Optical Memory and Neural Networks (3 papers)Electronics (1 paper)Ecological Informatics (1 paper)Journal of Environmental Management (1 paper)
- Partner nations
- RussiaHong KongUnited States
In The Last Decade
Rustam Paringer
55 papers receiving 626 citations
Peers
Comparison fields: 5 of 100
- Global and Planetary Change 257
- Ecology 169
- Ophthalmology 59
- Environmental Engineering 81
- Radiology, Nuclear Medicine and Imaging 130
Countries citing papers authored by Rustam Paringer
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
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-authors
The 20 scholars most cited alongside Rustam Paringer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 141 | |
| 2 | 2021 | 89 | |
| 3 | 2021 | 39 | |
| 4 | 2022 | 32 | |
| 5 | 2014 | 29 | |
| 6 | 2019 | 19 | |
| 7 | 2022 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2018 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2015 | 17 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 15 | |
| 14 | 2017 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2020 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2020 | 8 |
About Rustam Paringer
Rustam Paringer is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Ecology, Ophthalmology and Artificial Intelligence, having authored 64 papers that have together received 634 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (18 papers), Remote Sensing in Agriculture (11 papers), Glaucoma and retinal disorders (8 papers), Land Use and Ecosystem Services (6 papers), Digital Imaging for Blood Diseases (6 papers), Smart Agriculture and AI (6 papers), Retinal Diseases and Treatments (5 papers) and Remote-Sensing Image Classification (5 papers). The work is most often cited by research in Global and Planetary Change (257 citations), Ecology (169 citations), Ophthalmology (59 citations), Environmental Engineering (81 citations) and Radiology, Nuclear Medicine and Imaging (130 citations). Rustam Paringer has collaborated with scholars based in Russia, Hong Kong and United States. Frequent co-authors include Alexander Kupriyanov, Komal Choudhary, Mukesh Singh Boori, Nataly Ilyasova, Dong Yu, Wenzhong Shi, Pavel A. Khorin, Amit Sharma, Mariele Evers and Samuel Corgne. Their work appears in journals such as Computer Optics, Optical Memory and Neural Networks, Electronics, Ecological Informatics and Journal of Environmental Management.
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.