Sergey Shumarayev

502 total citations
14 papers, 110 citations indexed

About

Sergey Shumarayev is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Biomedical Engineering. According to data from OpenAlex, Sergey Shumarayev has authored 14 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 9 papers in Hardware and Architecture and 3 papers in Biomedical Engineering. Recurrent topics in Sergey Shumarayev's work include VLSI and Analog Circuit Testing (5 papers), VLSI and FPGA Design Techniques (4 papers) and Radio Frequency Integrated Circuit Design (4 papers). Sergey Shumarayev is often cited by papers focused on VLSI and Analog Circuit Testing (5 papers), VLSI and FPGA Design Techniques (4 papers) and Radio Frequency Integrated Circuit Design (4 papers). Sergey Shumarayev collaborates with scholars based in United States, United Kingdom and Switzerland. Sergey Shumarayev's co-authors include Rakesh Patel, Sumesh Narayan, Zhiguo Qian, Andrew C. Ling, Jeffrey Cook, Aravind Dasu, Kemal Aygün, Debbie Marr, Ahmet C. Durgun and Eriko Nurvitadhi and has published in prestigious journals such as IEEE Journal of Solid-State Circuits and OpenMETU (Middle East Technical University).

In The Last Decade

Sergey Shumarayev

14 papers receiving 100 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey Shumarayev United States 8 92 43 18 12 9 14 110
Jason Zheng United States 7 51 0.6× 51 1.2× 11 0.6× 6 0.5× 15 1.7× 15 80
Anish Muttreja United States 8 186 2.0× 73 1.7× 51 2.8× 7 0.6× 9 1.0× 12 227
Jin-Sheng Ren Taiwan 4 152 1.7× 52 1.2× 20 1.1× 12 1.0× 33 3.7× 4 167
Christos Vezyrtzis United States 6 132 1.4× 45 1.0× 15 0.8× 8 0.7× 8 0.9× 14 161
Giles Powell British Virgin Islands 4 109 1.2× 107 2.5× 45 2.5× 6 0.5× 5 0.6× 6 145
Hyunyoon Cho South Korea 7 117 1.3× 90 2.1× 71 3.9× 8 0.7× 9 1.0× 9 165
Hoeju Chung South Korea 5 75 0.8× 32 0.7× 26 1.4× 2 0.2× 8 0.9× 10 95
Paul Leventis United States 6 141 1.5× 139 3.2× 57 3.2× 6 0.5× 5 0.6× 7 176
Marcian E. Hoff United States 5 63 0.7× 20 0.5× 12 0.7× 6 0.5× 7 0.8× 13 90
Marvin Tom Canada 6 258 2.8× 212 4.9× 54 3.0× 9 0.8× 6 0.7× 9 271

Countries citing papers authored by Sergey Shumarayev

Since Specialization
Citations

This map shows the geographic impact of Sergey Shumarayev'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 Sergey Shumarayev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Shumarayev more than expected).

Fields of papers citing papers by Sergey Shumarayev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey Shumarayev. 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 Sergey Shumarayev. The network helps show where Sergey Shumarayev may publish in the future.

Co-authorship network of co-authors of Sergey Shumarayev

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Shumarayev. A scholar is included among the top collaborators of Sergey Shumarayev 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 Sergey Shumarayev. Sergey Shumarayev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Wang, Yuyang, Songli Wang, Asher Novick, et al.. (2024). Silicon Photonics Chip I/O for Ultra High-Bandwidth and Energy-Efficient Die-to-Die Connectivity. 1–8. 10 indexed citations
2.
Tang, Wei, et al.. (2023). Arvon: A Heterogeneous System-in-Package Integrating FPGA and DSP Chiplets for Versatile Workload Acceleration. IEEE Journal of Solid-State Circuits. 59(4). 1235–1245. 8 indexed citations
3.
4.
Shumarayev, Sergey, et al.. (2022). Heterogenous Integration Enables FPGA Based Hardware Acceleration for RF Applications. 1–20. 1 indexed citations
5.
Durgun, Ahmet C., et al.. (2019). Electrical Performance Limits of Fine Pitch Interconnects for Heterogeneous Integration. OpenMETU (Middle East Technical University). 667–673. 13 indexed citations
6.
Nurvitadhi, Eriko, Jeffrey Cook, Asit Mishra, et al.. (2018). In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs. 287–287. 8 indexed citations
7.
Nurvitadhi, Eriko, Jeffrey Cook, Asit Mishra, et al.. (2018). In-Package Domain-Specific ASICs for Intel® Stratix® 10 FPGAs: A Case Study of Accelerating Deep Learning Using TensorTile ASIC. 106–1064. 18 indexed citations
8.
Hutton, Mike, Arifur Rahman, David Lewis, et al.. (2015). Arria™ 10 device architecture. 1–8. 14 indexed citations
9.
Narayan, Sumesh, et al.. (2013). A 3.1mW phase-tunable quadrature-generation method for CEI 28G short-reach CDR in 28nm CMOS. 412–413. 10 indexed citations
10.
Shumarayev, Sergey, et al.. (2010). Introducing 28-nm stratix VFPGAs: Built for bandwidth. 1–23. 2 indexed citations
11.
12.
Patel, Rakesh, et al.. (2006). A signal integrity-based link performance simulation platform. 720–723. 4 indexed citations
13.
Patel, Rakesh, et al.. (2002). Interconnect enhancements for a high-speed PLD architecture. 3–10. 18 indexed citations
14.
Hutton, Michael, et al.. (2002). Interconnect enhancements for a high-speed PLD architecture. 1 indexed citations

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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2026