Sepehr Tabrizchi

601 citations
56 papers · 430 · h-index 12

Impact in

    • Quantum-Dot Cellular Automata
    • Low-power high-performance VLSI design
    • Advancements in Semiconductor Devices and Circuit Design
    • Advanced Memory and Neural Computing
    • Semiconductor materials and devices
    • CCD and CMOS Imaging Sensors
    • Ferroelectric and Negative Capacitance Devices

Papers in

Sepehr Tabrizchi

49 papers receiving 419 citations

Peers

Sepehr Tabrizchi
Comparison fields: 5 of 30
  • Computational Theory and Mathematics 104
  • Electrical and Electronic Engineering 339
  • Hardware and Architecture 18
  • Neurology 16
  • Artificial Intelligence 67
Replace Hangrui Bi with:
Hangrui Bi China
Mohammad Reza Reshadinezhad Iran
Behjat Forouzandeh Iran
Sunmean Kim South Korea
Mohammad Ahmadinejad Iran
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Avik Chattopadhyay India
Bi Wu China
Ibrahim H. Ahmed United States
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Citations per field
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Citations per year

Countries citing papers authored by Sepehr Tabrizchi

Since Specialization
Citations

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

Fields of papers citing papers by Sepehr Tabrizchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sepehr Tabrizchi, 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 Sepehr Tabrizchi Line = papers co-authored together Sepehr Tabrizchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201844
2 201744
3 201828
4 201927
5 202023
6 202323
7 201719
8 201718
9 202218
10 202313
11 202113
12 201512
13 202012
14 202210
15 202310
16 20248
17 20168
18 20238
19 20237
20 20246

About Sepehr Tabrizchi

Sepehr Tabrizchi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Artificial Intelligence and Hardware and Architecture, having authored 56 papers that have together received 430 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), CCD and CMOS Imaging Sensors (12 papers), Advancements in Semiconductor Devices and Circuit Design (12 papers), Low-power high-performance VLSI design (11 papers), Advanced Neural Network Applications (10 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Quantum-Dot Cellular Automata (7 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (104 citations), Electrical and Electronic Engineering (339 citations), Hardware and Architecture (18 citations), Neurology (16 citations) and Artificial Intelligence (67 citations). Sepehr Tabrizchi has collaborated with scholars based in United States, Iran and Italy. Frequent co-authors include Arman Roohi, Keivan Navi, Fazel Sharifi, Shaahin Angizi, Nader Bagherzadeh, Abdel‐Hameed A. Badawy, MohammadReza Taheri, David Zhigang Pan, Hojjat Sharifi and Hamid Mahmoodi. Their work appears in journals such as IEEE Transactions on Emerging Topics in Computing, IEEE Computer Architecture Letters, Computers & Electrical Engineering, Journal of Computational Science and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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