Roman Solovyev
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
Papers in
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- Radiation Effects in Electronics 6
- VLSI and FPGA Design Techniques 3
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- VLSI and Analog Circuit Testing 8
- Co-authors
- Weimin Wang (1 shared paper)Alexandr A. Kalinin (1 shared paper)A. Yu. Romanov (6 shared papers)Hao Xu (1 shared paper)S. V. Gavrilov (1 shared paper)Wei Ouyang (1 shared paper)A. A. Volkov (1 shared paper)Emma Lundberg (1 shared paper)
- Journals
- IEEE Access (2 papers)Optical Memory and Neural Networks (2 papers)Nature Methods (1 paper)Image and Vision Computing (1 paper)Problems of advanced micro- and nanoelectronic systems development (4 papers)
- Partner nations
- RussiaUnited StatesCanada
In The Last Decade
Roman Solovyev
23 papers receiving 378 citations
Roman Solovyev's Hit Papers
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 182
- Computational Mathematics 3
- Media Technology 30
- Hardware and Architecture 21
- Artificial Intelligence 91
Countries citing papers authored by Roman Solovyev
This map shows the geographic impact of Roman Solovyev'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 Roman Solovyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Solovyev more than expected).
Fields of papers citing papers by Roman Solovyev
This network shows the impact of papers produced by Roman Solovyev. 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 Roman Solovyev. The network helps show where Roman Solovyev may publish in the future.
Co-authors
The 25 scholars most cited alongside Roman Solovyev, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Weighted boxes fusion: Ensembling boxes from different object detection models Hit paper breakdown → | 2021 | 279 |
| 2 | FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations. | 2018 | 23 |
| 3 | 2022 | 15 | |
| 4 | 2021 | 14 | |
| 5 | 2019 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2008 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2014 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2021 | 2 |
About Roman Solovyev
Roman Solovyev is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 34 papers that have together received 402 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (8 papers), Radiation Effects in Electronics (6 papers), Advanced Neural Network Applications (4 papers), Advanced Data Processing Techniques (4 papers), Numerical Methods and Algorithms (3 papers), VLSI and FPGA Design Techniques (3 papers), Cybersecurity and Information Systems (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Computational Mathematics (3 citations), Media Technology (30 citations), Hardware and Architecture (21 citations) and Artificial Intelligence (91 citations). Roman Solovyev has collaborated with scholars based in Russia, United States and Canada. Frequent co-authors include Weimin Wang, Alexandr A. Kalinin, A. Yu. Romanov, Hao Xu, S. V. Gavrilov, Wei Ouyang, A. A. Volkov, Emma Lundberg, Casper F. Winsnes and Diana Mahdessian. Their work appears in journals such as IEEE Access, Optical Memory and Neural Networks, Nature Methods, Image and Vision Computing and Problems of advanced micro- and nanoelectronic systems development.
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.