Roman Solovyev

813 citations
36 papers · 440 · 1 hit paper · h-index 7

Impact in

Papers in

Roman Solovyev

24 papers receiving 415 citations

Roman Solovyev's Hit Papers

Weighted boxes fusion: Ensembling boxes from different object detection models 2021 · 304 citations
3040+1+3Years since publication100200300

Peers

Roman Solovyev
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 204
  • Computational Mathematics 3
  • Media Technology 34
  • Radiology, Nuclear Medicine and Imaging 63
  • Hardware and Architecture 22
Replace Emma Regentova with:
Emma Regentova United States
Peng Zhao China
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Rafikha Aliana A. Raof Malaysia
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Kwang-Seok Moon South Korea
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Countries citing papers authored by Roman Solovyev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 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 →
2021304
2
FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations.
201824
3 202116
4 202215
5 20198
6 20197
7 20246
8 20206
9 20205
10 20195
11 20225
12 20145
13 20085
14 20214
15 20193
16 20233
17 20223
18 20232
19 20182
20 20202

About Roman Solovyev

Roman Solovyev is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence and Control and Systems Engineering, having authored 36 papers that have together received 440 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), Domain Adaptation and Few-Shot Learning (3 papers) and Cybersecurity and Information Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (204 citations), Computational Mathematics (3 citations), Media Technology (34 citations), Radiology, Nuclear Medicine and Imaging (63 citations) and Hardware and Architecture (22 citations). Roman Solovyev has collaborated with scholars based in Russia, United States and Canada. Frequent co-authors include Weimin Wang, A. Yu. Romanov, Alexandr A. Kalinin, D. Sculley, Savithri Sundareswaran, Pallavi Baljekar, Hao Xu, Nikola Banić, Yoni Halpern and Rajendran Panda. Their work appears in journals such as IEEE Access, Optical Memory and Neural Networks, Image and Vision Computing, Nature Methods 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.

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