Konstantin Dorofeev

482 total citations
25 papers, 290 citations indexed

About

Konstantin Dorofeev is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Small Animals. According to data from OpenAlex, Konstantin Dorofeev has authored 25 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 6 papers in Small Animals. Recurrent topics in Konstantin Dorofeev's work include Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (9 papers) and Effects of Environmental Stressors on Livestock (6 papers). Konstantin Dorofeev is often cited by papers focused on Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (9 papers) and Effects of Environmental Stressors on Livestock (6 papers). Konstantin Dorofeev collaborates with scholars based in Russia, Mexico and China. Konstantin Dorofeev's co-authors include Alexey Ruchay, Vladimir Kolpakov, Vitaly Kober, Sergey Miroshnikov, Hao Guo, Giovanni Ferrari, Andrea Pezzuolo, В. Н. Карнаухов, M. G. Mozerov and Dianna Kosyan and has published in prestigious journals such as Computers and Electronics in Agriculture, Animals and Agriculture.

In The Last Decade

Konstantin Dorofeev

23 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konstantin Dorofeev Russia 10 123 101 68 60 59 25 290
Alexey Ruchay Russia 13 197 1.6× 171 1.7× 156 2.3× 92 1.5× 78 1.3× 63 509
Weihong Ma China 10 77 0.6× 63 0.6× 62 0.9× 35 0.6× 15 0.3× 33 258
Jennifer Salau Germany 12 188 1.5× 229 2.3× 21 0.3× 29 0.5× 16 0.3× 26 351
Ronghua Gao China 11 95 0.8× 110 1.1× 53 0.8× 8 0.1× 8 0.1× 32 309
Xiaodong Du China 11 83 0.7× 85 0.8× 84 1.2× 213 3.5× 21 0.4× 27 388
Xingshi Xu China 10 50 0.4× 77 0.8× 89 1.3× 10 0.2× 7 0.1× 16 305
Lei Song China 8 67 0.5× 89 0.9× 48 0.7× 7 0.1× 6 0.1× 26 295
Késia Oliveira da Silva Miranda Brazil 10 193 1.6× 169 1.7× 21 0.3× 12 0.2× 6 0.1× 44 340
Adair da Silva Oliveira Brazil 8 70 0.6× 59 0.6× 45 0.7× 12 0.2× 4 0.1× 12 373
Manuel Vázquez-Arellano Germany 8 16 0.1× 17 0.2× 57 0.8× 39 0.7× 51 0.9× 14 438

Countries citing papers authored by Konstantin Dorofeev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Konstantin Dorofeev

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantin Dorofeev. A scholar is included among the top collaborators of Konstantin Dorofeev 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 Konstantin Dorofeev. Konstantin Dorofeev 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.
Ruchay, Alexey, Vladimir Kolpakov, Dianna Kosyan, et al.. (2022). Genome-Wide Associative Study of Phenotypic Parameters of the 3D Body Model of Aberdeen Angus Cattle with Multiple Depth Cameras. Animals. 12(16). 2128–2128. 14 indexed citations
2.
Ruchay, Alexey, et al.. (2022). Live Weight Prediction of Cattle Based on Deep Regression of RGB-D Images. Agriculture. 12(11). 1794–1794. 29 indexed citations
3.
Ruchay, Alexey, Vitaly Kober, Konstantin Dorofeev, В. Н. Карнаухов, & M. G. Mozerov. (2022). Segmentation of Breast Masses in Digital Mammography Based on U-Net Deep Convolutional Neural Networks. Journal of Communications Technology and Electronics. 67(12). 1531–1541. 3 indexed citations
4.
Ruchay, Alexey, et al.. (2022). Comparative analysis of machine learning algorithms for predicting live weight of Hereford cows. Computers and Electronics in Agriculture. 195. 106837–106837. 27 indexed citations
5.
Ruchay, Alexey, et al.. (2021). Live weight prediction of cattle using deep image regression. 32–36. 3 indexed citations
6.
Ruchay, Alexey, et al.. (2020). Accuracy analysis of 3D object reconstruction using mesh filtering. Repository of Samara University (Samara National Research University). 1–5. 3 indexed citations
7.
Ruchay, Alexey, Vitaly Kober, Konstantin Dorofeev, Vladimir Kolpakov, & Sergey Miroshnikov. (2020). Accurate body measurement of live cattle using three depth cameras and non-rigid 3-D shape recovery. Computers and Electronics in Agriculture. 179. 105821–105821. 87 indexed citations
8.
Ruchay, Alexey, et al.. (2020). Real-time dense 3D object reconstruction using RGB-D sensor. 82–82. 1 indexed citations
9.
Dorofeev, Konstantin & Alexey Ruchay. (2020). Design of autonomous mobile systems for face recognition based on a DCNN with compression and pruning. 80–80. 1 indexed citations
10.
Ruchay, Alexey, et al.. (2020). Accuracy analysis of surface reconstruction from point clouds. Repository of Samara University (Samara National Research University). 1–4. 5 indexed citations
11.
Ruchay, Alexey, Konstantin Dorofeev, & Vitaly Kober. (2020). Classification of breast abnormalities in digital mammography with a deep convolutional neural network. 81–81.
12.
Ruchay, Alexey, et al.. (2019). A novel switching bilateral filtering algorithm for depth map. Computer Optics. 43(6). 13 indexed citations
13.
Ruchay, Alexey, et al.. (2019). Accuracy analysis of 3D object reconstruction using point cloud filtering algorithms. 169–174. 5 indexed citations
14.
Ruchay, Alexey, et al.. (2019). Accurate 3D shape recovery of live cattle with three depth cameras. IOP Conference Series Earth and Environmental Science. 341(1). 12147–12147. 11 indexed citations
15.
Ruchay, Alexey, et al.. (2019). A depth camera-based system for automatic measurement of live cattle body parameters. IOP Conference Series Earth and Environmental Science. 341(1). 12148–12148. 12 indexed citations
16.
17.
Ruchay, Alexey, Konstantin Dorofeev, & Vladimir Kolpakov. (2018). Fusion of information from multiple Kinect sensors for 3D object reconstruction. Computer Optics. 42(5). 898–903. 24 indexed citations
18.
Ruchay, Alexey, et al.. (2018). Accuracy analysis of 3D object reconstruction using RGB-D sensor. 82–88. 4 indexed citations
19.
Ruchay, Alexey, et al.. (2018). Accuracy analysis of 3D object shape recovery using depth filtering algorithms. 9598. 74–74. 9 indexed citations
20.
Ruchay, Alexey, et al.. (2018). An efficient detection of local features in depth maps. 9598. 76–76. 6 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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