Sepehr Tabrizchi

522 total citations
50 papers, 360 citations indexed

About

Sepehr Tabrizchi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sepehr Tabrizchi has authored 50 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Sepehr Tabrizchi's work include Advanced Memory and Neural Computing (26 papers), CCD and CMOS Imaging Sensors (12 papers) and Advancements in Semiconductor Devices and Circuit Design (12 papers). Sepehr Tabrizchi is often cited by papers focused on Advanced Memory and Neural Computing (26 papers), CCD and CMOS Imaging Sensors (12 papers) and Advancements in Semiconductor Devices and Circuit Design (12 papers). Sepehr Tabrizchi collaborates with scholars based in United States, Iran and Italy. Sepehr Tabrizchi's co-authors include Keivan Navi, Fazel Sharifi, Arman Roohi, Shaahin Angizi, Nader Bagherzadeh, Abdel‐Hameed A. Badawy, MohammadReza Taheri, Hojjat Sharifi, David Z. Pan and Hamid Mahmoodi and has published in prestigious journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Electronics.

In The Last Decade

Sepehr Tabrizchi

41 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sepehr Tabrizchi United States 11 317 101 77 46 30 50 360
Sunmean Kim South Korea 9 344 1.1× 84 0.8× 54 0.7× 28 0.6× 25 0.8× 20 388
Chetan Vudadha India 11 277 0.9× 113 1.1× 106 1.4× 37 0.8× 11 0.4× 31 308
B. Srinivasu India 9 279 0.9× 75 0.7× 71 0.9× 34 0.7× 5 0.2× 29 322
Shuja A. Abbasi Saudi Arabia 11 321 1.0× 45 0.4× 139 1.8× 37 0.8× 6 0.2× 35 389
Mohammad Reza Reshadinezhad Iran 11 353 1.1× 129 1.3× 104 1.4× 45 1.0× 21 0.7× 34 393
Mohammad Khaleqi Qaleh Jooq Iran 13 350 1.1× 27 0.3× 92 1.2× 25 0.5× 21 0.7× 24 393
Ambika Prasad Shah India 14 526 1.7× 62 0.6× 47 0.6× 33 0.7× 11 0.4× 79 591
Chia-Chun Lin Taiwan 10 156 0.5× 78 0.8× 16 0.2× 128 2.8× 37 1.2× 37 291
Sanjeet Kumar Sinha India 16 630 2.0× 32 0.3× 161 2.1× 12 0.3× 27 0.9× 77 703
T. Jayachandra Prasad India 10 126 0.4× 19 0.2× 36 0.5× 15 0.3× 11 0.4× 40 293

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-authorship network of co-authors of Sepehr Tabrizchi

This figure shows the co-authorship network connecting the top 25 collaborators of Sepehr Tabrizchi. A scholar is included among the top collaborators of Sepehr Tabrizchi 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 Sepehr Tabrizchi. Sepehr Tabrizchi 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.
2.
3.
Tabrizchi, Sepehr, et al.. (2024). OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. 1–6. 3 indexed citations
4.
Tabrizchi, Sepehr, Shaahin Angizi, & Arman Roohi. (2024). DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. 1–6. 2 indexed citations
5.
Tabrizchi, Sepehr, et al.. (2024). Intermittent-Aware Design Exploration of Systolic Array Using Various Non-Volatile Memory: A Comparative Study. Micromachines. 15(3). 343–343. 2 indexed citations
6.
Tabrizchi, Sepehr, et al.. (2024). HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. 1–6. 1 indexed citations
7.
Tabrizchi, Sepehr, Mohsen Imani, Mahdi Nikdast, et al.. (2024). Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. 1–6. 4 indexed citations
8.
Tabrizchi, Sepehr, Ravi Teja Velpula, Hieu Pham Trung Nguyen, et al.. (2024). Energy-Efficient Near-Sensor Event Detector Based on Multilevel Ga2O3 RRAM. 331–336.
9.
Tabrizchi, Sepehr, et al.. (2024). RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security. 551–555. 1 indexed citations
10.
11.
12.
Tabrizchi, Sepehr, et al.. (2024). DECO: Dynamic Energy-aware Compression and Optimization for In-Memory Neural Networks. 1441–1445. 1 indexed citations
13.
Tabrizchi, Sepehr, et al.. (2024). APRIS: Approximate Processing ReRAM In-Sensor Architecture Enabling Artificial-Intelligence-Powered Edge. IEEE Transactions on Emerging Topics in Computing. 13(4). 1356–1366. 1 indexed citations
14.
15.
16.
Tabrizchi, Sepehr, et al.. (2023). Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. 1–5. 1 indexed citations
17.
Tabrizchi, Sepehr, et al.. (2023). AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(1). 225–236. 19 indexed citations
18.
Angizi, Shaahin, Sepehr Tabrizchi, David Z. Pan, & Arman Roohi. (2023). PISA: A Non-Volatile Processing-in-Sensor Accelerator for Imaging Systems. IEEE Transactions on Emerging Topics in Computing. 11(4). 962–972. 10 indexed citations
19.
Tabrizchi, Sepehr, et al.. (2023). NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors. 1–4. 2 indexed citations
20.
Tabrizchi, Sepehr, et al.. (2020). Designing positive, negative and standard gates for ternary logics using quantum dot cellular automata. Computers & Electrical Engineering. 83. 106590–106590. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sunmean Kim Breakdown of academic impact, for papers by Chetan Vudadha Breakdown of academic impact, for papers by B. Srinivasu Breakdown of academic impact, for papers by Shuja A. Abbasi Breakdown of academic impact, for papers by Mohammad Reza Reshadinezhad Breakdown of academic impact, for papers by Mohammad Khaleqi Qaleh Jooq Breakdown of academic impact, for papers by Ambika Prasad Shah Breakdown of academic impact, for papers by Chia-Chun Lin Breakdown of academic impact, for papers by Sanjeet Kumar Sinha Breakdown of academic impact, for papers by T. Jayachandra Prasad
Rankless by CCL
2026