Alexander Filonenko
Impact in
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- Fire Detection and Safety Systems
- Fire dynamics and safety research
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- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
- Advanced Neural Network Applications
Papers in
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- Video Surveillance and Tracking Methods 24
- Image Enhancement Techniques 6
- Image and Object Detection Techniques 3
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- Fire Detection and Safety Systems 15
- Fire dynamics and safety research 4
Alexander Filonenko
31 papers receiving 356 citations
Peers
Comparison fields: 5 of 54
- Safety, Risk, Reliability and Quality 156
- Computer Vision and Pattern Recognition 297
- Automotive Engineering 53
- Media Technology 24
- Environmental Engineering 29
Countries citing papers authored by Alexander Filonenko
This map shows the geographic impact of Alexander Filonenko'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 Alexander Filonenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Filonenko more than expected).
Fields of papers citing papers by Alexander Filonenko
This network shows the impact of papers produced by Alexander Filonenko. 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 Alexander Filonenko. The network helps show where Alexander Filonenko may publish in the future.
Co-authors
The 6 scholars most cited alongside Alexander Filonenko, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 87 | |
| 2 | 2016 | 46 | |
| 3 | 2017 | 35 | |
| 4 | 2016 | 26 | |
| 5 | 2015 | 21 | |
| 6 | 2018 | 17 | |
| 7 | 2015 | 13 | |
| 8 | 2015 | 13 | |
| 9 | 2016 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2015 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2016 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2012 | 4 |
About Alexander Filonenko
Alexander Filonenko is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality, Automotive Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 31 papers that have together received 371 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (24 papers), Fire Detection and Safety Systems (15 papers), Autonomous Vehicle Technology and Safety (9 papers), IoT-based Smart Home Systems (6 papers), Image Enhancement Techniques (6 papers), Fire dynamics and safety research (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Image and Object Detection Techniques (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (156 citations), Computer Vision and Pattern Recognition (297 citations), Automotive Engineering (53 citations), Media Technology (24 citations) and Environmental Engineering (29 citations). Alexander Filonenko has collaborated with scholars based in South Korea and Panama. Frequent co-authors include Kang-Hyun Jo, Danilo Cáceres Hernández, Wahyono Wahyono, Laksono Kurnianggoro, Dong-Wook Seo and Van-Dung Hoang. Their work appears in journals such as IEEE Transactions on Industrial Informatics and Sensors.
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.