Konstantin Dorofeev
Impact in
- Small Animals top 5%
- Animal Behavior and Welfare Studies
- Animal Science and Zoology top 5%
- Effects of Environmental Stressors on Livestock
Papers in
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- Advanced Vision and Imaging 9
- Optical measurement and interference techniques 6
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- Robotics and Sensor-Based Localization 9
- Co-authors
- Alexey Ruchay (24 shared papers)Vladimir Kolpakov (12 shared papers)Vitaly Kober (7 shared papers)Hao Guo (4 shared papers)Giovanni Ferrari (1 shared paper)В. Н. Карнаухов (2 shared papers)M. G. Mozerov (2 shared papers)Dianna Kosyan (1 shared paper)
In The Last Decade
Konstantin Dorofeev
23 papers receiving 309 citations
Peers
Comparison fields: 5 of 54
- Small Animals 100
- Animal Science and Zoology 124
- Geology 60
- Computer Graphics and Computer-Aided Design 13
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by Konstantin Dorofeev
This map shows the geographic impact of Konstantin Dorofeev'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 Konstantin Dorofeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Konstantin Dorofeev more than expected).
Fields of papers citing papers by Konstantin Dorofeev
This network shows the impact of papers produced by Konstantin Dorofeev. 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 Konstantin Dorofeev. The network helps show where Konstantin Dorofeev may publish in the future.
Co-authors
The 9 scholars most cited alongside Konstantin Dorofeev, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2022 | 34 | |
| 3 | 2022 | 33 | |
| 4 | 2018 | 24 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2019 | 3 |
About Konstantin Dorofeev
Konstantin Dorofeev is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Small Animals, Animal Science and Zoology and Environmental Engineering, having authored 25 papers that have together received 312 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (9 papers), Optical measurement and interference techniques (6 papers), Effects of Environmental Stressors on Livestock (6 papers), Animal Behavior and Welfare Studies (6 papers), Remote Sensing and LiDAR Applications (4 papers), 3D Surveying and Cultural Heritage (4 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Small Animals (100 citations), Animal Science and Zoology (124 citations), Geology (60 citations), Computer Graphics and Computer-Aided Design (13 citations) and Computer Vision and Pattern Recognition (74 citations). Konstantin Dorofeev has collaborated with scholars based in Russia, Mexico and China. Frequent co-authors include Alexey Ruchay, Vladimir Kolpakov, Vitaly Kober, Hao Guo, Giovanni Ferrari, В. Н. Карнаухов, M. G. Mozerov, Dianna Kosyan and Andrea Pezzuolo. Their work appears in journals such as Computer Optics, Computers and Electronics in Agriculture, Animals, Journal of Communications Technology and Electronics and Agriculture.
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.