Dmitrii Shadrin

1.1k total citations
48 papers, 694 citations indexed

About

Dmitrii Shadrin is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Dmitrii Shadrin has authored 48 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 14 papers in Ecology and 13 papers in Environmental Engineering. Recurrent topics in Dmitrii Shadrin's work include Smart Agriculture and AI (18 papers), Remote Sensing in Agriculture (13 papers) and Remote Sensing and LiDAR Applications (10 papers). Dmitrii Shadrin is often cited by papers focused on Smart Agriculture and AI (18 papers), Remote Sensing in Agriculture (13 papers) and Remote Sensing and LiDAR Applications (10 papers). Dmitrii Shadrin collaborates with scholars based in Russia, United Arab Emirates and United Kingdom. Dmitrii Shadrin's co-authors include Andrey Somov, Svetlana Illarionova, Mariia Pukalchik, Ivan Oseledets, Maxim V. Fedorov, Evgeny Burnaev, Jens Hauslage, С. А. Матвеев, Oleksii Hrinchuk and Sergey Sosnin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Dmitrii Shadrin

44 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitrii Shadrin Russia 15 285 155 143 109 99 48 694
Cengiz Koparan United States 13 305 1.1× 137 0.9× 166 1.2× 75 0.7× 65 0.7× 26 722
Uferah Shafi Pakistan 15 554 1.9× 182 1.2× 214 1.5× 63 0.6× 63 0.6× 18 1.2k
Nahina Islam Australia 11 386 1.4× 86 0.6× 190 1.3× 46 0.4× 56 0.6× 26 877
Dimosthenis C. Tsouros Greece 6 401 1.4× 209 1.3× 289 2.0× 149 1.4× 68 0.7× 14 864
Naveed Iqbal Pakistan 10 410 1.4× 96 0.6× 176 1.2× 36 0.3× 43 0.4× 27 840
Yun Shi China 16 418 1.5× 146 0.9× 242 1.7× 145 1.3× 94 0.9× 40 888
Bikram Pratap Banerjee Australia 16 209 0.7× 191 1.2× 201 1.4× 95 0.9× 71 0.7× 41 733
Amol D. Vibhute India 12 181 0.6× 121 0.8× 161 1.1× 39 0.4× 72 0.7× 45 653
Sungchan Oh United States 13 211 0.7× 187 1.2× 224 1.6× 112 1.0× 52 0.5× 33 575
Surya S. Durbha India 17 176 0.6× 210 1.4× 235 1.6× 158 1.4× 137 1.4× 98 1.0k

Countries citing papers authored by Dmitrii Shadrin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitrii Shadrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitrii Shadrin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitrii Shadrin. A scholar is included among the top collaborators of Dmitrii Shadrin 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 Dmitrii Shadrin. Dmitrii Shadrin 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.
Illarionova, Svetlana, Vladimir Podlipnov, Dmitrii Shadrin, et al.. (2025). Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions. IEEE Access. 13. 97454–97471.
2.
Illarionova, Svetlana, et al.. (2025). Exploration of geo-spatial data and machine learning algorithms for robust wildfire occurrence prediction. Scientific Reports. 15(1). 10712–10712. 5 indexed citations
3.
Illarionova, Svetlana, et al.. (2025). Self-Supervised Learning for Temporal Action Segmentation in Industrial and Manufacturing Videos. IEEE Access. 13. 39650–39665.
4.
Illarionova, Svetlana, Rifat Hamoudi, Alexander Bernstein, et al.. (2024). A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. Information Sciences. 686. 121358–121358. 1 indexed citations
5.
Illarionova, Svetlana, et al.. (2024). Advancing forest carbon stocks’ mapping using a hierarchical approach with machine learning and satellite imagery. Scientific Reports. 14(1). 21032–21032. 14 indexed citations
6.
Illarionova, Svetlana, et al.. (2024). Machine learning-based modeling of chl-a concentration in Northern marine regions using oceanic and atmospheric data. Frontiers in Marine Science. 11. 3 indexed citations
7.
Shadrin, Dmitrii, et al.. (2024). Wildfire spreading prediction using multimodal data and deep neural network approach. Scientific Reports. 14(1). 2606–2606. 34 indexed citations
8.
Illarionova, Svetlana, et al.. (2023). Forest age estimation in northern Arkhangelsk region based on machine learning pipeline on Sentinel-2 and auxiliary data. Scientific Reports. 13(1). 22167–22167. 2 indexed citations
9.
Illarionova, Svetlana, et al.. (2023). CISA: Context Substitution for Image Semantics Augmentation. Mathematics. 11(8). 1818–1818. 8 indexed citations
10.
Illarionova, Svetlana, et al.. (2023). Flood Extent and Volume Estimation Using Remote Sensing Data. Remote Sensing. 15(18). 4463–4463. 9 indexed citations
12.
Illarionova, Svetlana, et al.. (2023). Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. Remote Sensing. 15(9). 2347–2347. 12 indexed citations
13.
Shadrin, Dmitrii, et al.. (2022). Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data. Scientific Reports. 12(1). 6128–6128. 14 indexed citations
14.
Shadrin, Dmitrii, et al.. (2021). Optimization of Water Quality Monitoring Networks Using Metaheuristic Approaches: Moscow Region Use Case. Water. 13(7). 888–888. 13 indexed citations
15.
Illarionova, Svetlana, et al.. (2021). MixChannel: Advanced Augmentation for Multispectral Satellite Images. Remote Sensing. 13(11). 2181–2181. 19 indexed citations
17.
Shadrin, Dmitrii, et al.. (2021). Regulation-based probabilistic substance quality index and automated geo-spatial modeling for water quality assessment. Scientific Reports. 11(1). 23822–23822. 3 indexed citations
18.
Pukalchik, Mariia, et al.. (2019). Machine learning methods for estimation the indicators of phosphogypsum influence in soil. Journal of Soils and Sediments. 19(5). 2265–2276. 13 indexed citations
19.
Shadrin, Dmitrii, et al.. (2019). Bayesian optimization for seed germination. Plant Methods. 15(1). 43–43. 5 indexed citations
20.
Shadrin, Dmitrii, V. A. Kulikov, & Maxim V. Fedorov. (2018). Instance segmentation for assessment of plant growth dynamics in artificial soilless conditions.. British Machine Vision Conference. 329. 3 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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