Denis A. Pustokhin
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- IoT and Edge/Fog Computing 6
- Network Security and Intrusion Detection 5
- Energy Efficient Wireless Sensor Networks 5
- Media Technology top 5%
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 4
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- Stock Market Forecasting Methods 6
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- COVID-19 diagnosis using AI 5
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- Traffic Prediction and Management Techniques 4
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- Financial Distress and Bankruptcy Prediction 4
- Co-authors
- Irina V. PustokhinaK. ShankarDeepak GuptaMohamed ElhosenyGia Nhu NguyenAshish KhannaE. Laxmi LydiaGyanendra Prasad Joshi
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionHealth Information Management
- Partner nations
- RussiaIndiaSaudi Arabia
In The Last Decade
Denis A. Pustokhin
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Computer Networks and Communications 328
- Computer Vision and Pattern Recognition 287
- Health Information Management 65
- Media Technology 112
- Artificial Intelligence 362
Countries citing papers authored by Denis A. Pustokhin
This map shows the geographic impact of Denis A. Pustokhin'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 Denis A. Pustokhin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis A. Pustokhin more than expected).
Fields of papers citing papers by Denis A. Pustokhin
This network shows the impact of papers produced by Denis A. Pustokhin. 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 Denis A. Pustokhin. The network helps show where Denis A. Pustokhin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Denis A. Pustokhin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 104 | |
| 18 | 2020 | 28 | |
| 19 | 2020 | 173 | |
| 20 | 2020 | 48 |
About Denis A. Pustokhin
Denis A. Pustokhin is a scholar working on Computer Networks and Communications, Medical Laboratory Technology and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Stock Market Forecasting Methods (6 papers), Network Security and Intrusion Detection (5 papers), COVID-19 diagnosis using AI (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), Traffic Prediction and Management Techniques (4 papers), Financial Distress and Bankruptcy Prediction (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (328 citations), Computer Vision and Pattern Recognition (287 citations) and Health Information Management (65 citations). Denis A. Pustokhin has collaborated with scholars based in Russia, India and Saudi Arabia. Frequent co-authors include Irina V. Pustokhina, K. Shankar, Deepak Gupta, Mohamed Elhoseny, Gia Nhu Nguyen, Ashish Khanna, E. Laxmi Lydia, Gyanendra Prasad Joshi, R. Joshua Samuel Raj and Thavavel Vaiyapuri.
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.