Dmitry Kangin

1.3k citations
20 papers · 808 · 1 hit paper · h-index 10

Impact in

Papers in

Dmitry Kangin

17 papers receiving 780 citations

Dmitry Kangin's Hit Papers

Skilful precipitation nowcasting using deep generative models of radar 2021 · 554 citations
5540+1+3Years since publication100200300400500

Peers

Dmitry Kangin
Comparison fields: 5 of 104
  • Atmospheric Science 387
  • Global and Planetary Change 293
  • Environmental Engineering 145
  • Artificial Intelligence 221
  • Computer Vision and Pattern Recognition 84
Replace Kaifeng Bi with:
Kaifeng Bi China
Xiaotao Gu China
Aidan Clark United Kingdom
Dorit Hammerling United States
Karthik Kashinath United States
Rémi Lam United States
Ferran Alet United States
Hongbo Zhao China
Matthew Chantry United Kingdom
Dmitry Kangin relative to Kaifeng Bi China Kaifeng Bi's profile →
Citations per field
00.5×10.3×
Kaifeng Bi · 1×
Citations per year

Countries citing papers authored by Dmitry Kangin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Kangin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dmitry Kangin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dmitry Kangin Line = papers co-authored together Dmitry Kangin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Skilful precipitation nowcasting using deep generative models of radar
Hit paper breakdown →
2021554
2 201763
3 201632
4 202031
5 201630
6 201720
7 201718
8 201514
9 202313
10 201512
11 20149
12 20183
13 20252
14
Combination of Supervised and Reinforcement Learning For Vision-Based Autonomous Control
20182
15 20192
16
Data fusion for unsupervised video object detection, tracking and geo-positioning
20151
17
Further Parameters Estimation of Neocognitron Neural Network Modification with FFT Convolution
20121
18 20251
19 20150
20 20210

About Dmitry Kangin

Dmitry Kangin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Atmospheric Science and Aerospace Engineering, having authored 20 papers that have together received 808 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Fuzzy Logic and Control Systems (3 papers), Machine Learning and Data Classification (3 papers), Anomaly Detection Techniques and Applications (3 papers), Face and Expression Recognition (2 papers), Precipitation Measurement and Analysis (2 papers), Meteorological Phenomena and Simulations (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Atmospheric Science (387 citations), Global and Planetary Change (293 citations), Environmental Engineering (145 citations), Artificial Intelligence (221 citations) and Computer Vision and Pattern Recognition (84 citations). Dmitry Kangin has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Plamen Angelov, Xiaowei Gu, Alberto Arribas, N. Robinson, Rachel Prudden, Suman Ravuri, Shakir Mohamed, Ellen Clancy, Amol Mandhane and Piotr Mirowski. Their work appears in journals such as Information Sciences, Scientific Reports, Evolving Systems, Nature and International Journal of Intelligent Systems.

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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