Roman Solovyev

779 total citations · 1 hit paper
34 papers, 383 citations indexed

About

Roman Solovyev is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Roman Solovyev has authored 34 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 8 papers in Hardware and Architecture and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Roman Solovyev's work include VLSI and Analog Circuit Testing (8 papers), Radiation Effects in Electronics (6 papers) and Advanced Neural Network Applications (4 papers). Roman Solovyev is often cited by papers focused on VLSI and Analog Circuit Testing (8 papers), Radiation Effects in Electronics (6 papers) and Advanced Neural Network Applications (4 papers). Roman Solovyev collaborates with scholars based in Russia, United States and Singapore. Roman Solovyev's co-authors include Weimin Wang, Alexandr A. Kalinin, A. Yu. Romanov, Ulrika Axelsson, Emma Lundberg, Casper F. Winsnes, Wilson Wang, Rajendran Panda, Trang Le and Nikola Banić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Methods and IEEE Access.

In The Last Decade

Roman Solovyev

22 papers receiving 358 citations

Hit Papers

Weighted boxes fusion: Ensembling boxes from different ob... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Weighted boxes fusion: Ensembling boxes from different object detection models
    2021 268 citations Roman Solovyev et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roman Solovyev Russia 6 180 92 56 51 36 34 383
Muhammad Bilal Saudi Arabia 10 187 1.0× 52 0.6× 97 1.7× 89 1.7× 33 0.9× 44 411
Tejalal Choudhary India 6 172 1.0× 196 2.1× 71 1.3× 38 0.7× 15 0.4× 9 424
M. Gorgoń Poland 15 338 1.9× 132 1.4× 39 0.7× 157 3.1× 54 1.5× 51 583
Dilin Wang United States 10 389 2.2× 263 2.9× 37 0.7× 50 1.0× 34 0.9× 22 603
Xiaogang Du China 13 230 1.3× 116 1.3× 67 1.2× 122 2.4× 22 0.6× 35 497
Rafikha Aliana A. Raof Malaysia 10 124 0.7× 50 0.5× 31 0.6× 31 0.6× 32 0.9× 36 296
Amin Alqudah Jordan 14 112 0.6× 138 1.5× 129 2.3× 36 0.7× 6 0.2× 32 413
Alvin Wan United States 5 369 2.0× 234 2.5× 46 0.8× 52 1.0× 16 0.4× 11 529
Yang Jia China 12 193 1.1× 65 0.7× 32 0.6× 65 1.3× 24 0.7× 54 410
Daniel Stanley Tan Taiwan 9 279 1.6× 170 1.8× 25 0.4× 16 0.3× 16 0.4× 37 460

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-authorship network of co-authors of Roman Solovyev

This figure shows the co-authorship network connecting the top 25 collaborators of Roman Solovyev. A scholar is included among the top collaborators of Roman Solovyev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roman Solovyev. Roman Solovyev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Карпов, А. В., et al.. (2025). Parallel Multi-Level Simulation for Large-Scale Detailed Intelligent Transportation System Modeling. Future Transportation. 5(4). 141–141.
2.
Solovyev, Roman, et al.. (2025). PAGR: Accelerating Global Routing for VLSI Design Flow. IEEE Access. 13. 6440–6450. 1 indexed citations
3.
4.
Uhlich, Stefan, Masato Hirano, Shusuke Takahashi, et al.. (2024). The Sound Demixing Challenge 2023 – Cinematic Demixing Track. SHILAP Revista de lepidopterología. 7(1). 44–62. 4 indexed citations
5.
Solovyev, Roman, et al.. (2024). Applying Machine Learning Methods to Signal Integrity Analysis. 1–5.
6.
7.
Solovyev, Roman, et al.. (2023). Application of Neural Networks for Image Segmentation in the Prob-lem of Fast Global Routing. Proceedings of the Institute for System Programming of RAS. 35(5). 145–156. 2 indexed citations
8.
Solovyev, Roman, et al.. (2023). Fast Analysis of Static IR Drop Effect Based on Machine Learning Methods. Proceedings of the Institute for System Programming of RAS. 35(5). 127–144. 1 indexed citations
9.
Le, Trang, Casper F. Winsnes, Ulrika Axelsson, et al.. (2022). Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition. Nature Methods. 19(10). 1221–1229. 14 indexed citations
10.
Solovyev, Roman, et al.. (2022). Hardware Implementation of a Neural Network for Object Detection in FPGA. Problems of advanced micro- and nanoelectronic systems development. 27–34. 3 indexed citations
11.
Romanov, A. Yu., et al.. (2022). Developing Methods for Combinational Circuit Generation. 5 indexed citations
12.
Romanov, A. Yu., et al.. (2021). Analysis of Posit and Bfloat Arithmetic of Real Numbers for Machine Learning. IEEE Access. 9. 82318–82324. 11 indexed citations
13.
Solovyev, Roman, et al.. (2021). Fast Emotion Recognition Neural Network for IoT Devices. 1–6. 4 indexed citations
14.
Wang, Wilson, et al.. (2020). Method for Whale Re-identification Based on Siamese Nets and Adversarial Training. Optical Memory and Neural Networks. 29(2). 118–132. 6 indexed citations
15.
Solovyev, Roman, et al.. (2020). Synthesis of Approximate Combinational Circuits based on Logic Regression Approach. 1–5. 5 indexed citations
16.
Solovyev, Roman, et al.. (2019). Application of Modular Arithmetic Methods in the Development of Hardware Implementations of Neural Networks. INFORMACIONNYE TEHNOLOGII. 25(12). 747–756. 3 indexed citations
17.
Solovyev, Roman, et al.. (2018). FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations.. arXiv (Cornell University). 23 indexed citations
18.
Solovyev, Roman, et al.. (2018). The Technique for Implementing a Neural Network for Recognizing Handwritten Digits in FPGAs Based on Fixed Point Calculations. Problems of advanced micro- and nanoelectronic systems development. 126–131. 2 indexed citations
19.
20.
Solovyev, Roman, et al.. (2006). Application of standard cell characterization results in statistical timing analysis. 29–35.

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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