Shaahin Angizi

3.5k total citations
143 papers, 2.5k citations indexed

About

Shaahin Angizi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Shaahin Angizi has authored 143 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Electrical and Electronic Engineering, 29 papers in Computer Vision and Pattern Recognition and 28 papers in Hardware and Architecture. Recurrent topics in Shaahin Angizi's work include Advanced Memory and Neural Computing (95 papers), Ferroelectric and Negative Capacitance Devices (45 papers) and Quantum-Dot Cellular Automata (27 papers). Shaahin Angizi is often cited by papers focused on Advanced Memory and Neural Computing (95 papers), Ferroelectric and Negative Capacitance Devices (45 papers) and Quantum-Dot Cellular Automata (27 papers). Shaahin Angizi collaborates with scholars based in United States, Iran and Canada. Shaahin Angizi's co-authors include Deliang Fan, Keivan Navi, Zhezhi He, Samira Sayedsalehi, Mohammad Hossein Moaiyeri, Arman Roohi, Nader Bagherzadeh, Soheil Sarmadi, Shadi Sheikhfaal and Ronald F. DeMara and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Shaahin Angizi

127 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaahin Angizi United States 29 2.2k 1.2k 730 370 287 143 2.5k
Michael Niemier United States 34 3.4k 1.6× 1.1k 0.9× 985 1.3× 550 1.5× 408 1.4× 189 4.0k
Marco Ottavi Italy 21 1.6k 0.7× 810 0.6× 353 0.5× 144 0.4× 392 1.4× 150 1.8k
Swaroop Ghosh United States 27 1.9k 0.9× 289 0.2× 249 0.3× 730 2.0× 981 3.4× 204 2.6k
Mohammad Hossein Moaiyeri Iran 37 3.8k 1.8× 1.2k 0.9× 447 0.6× 299 0.8× 352 1.2× 208 4.2k
Sorin Cotöfană Netherlands 18 1.1k 0.5× 291 0.2× 418 0.6× 233 0.6× 270 0.9× 219 1.6k
Sanjukta Bhanja United States 20 1.3k 0.6× 867 0.7× 520 0.7× 126 0.3× 336 1.2× 99 1.5k
Mohammad Mosleh Iran 22 837 0.4× 966 0.8× 325 0.4× 396 1.1× 37 0.1× 106 1.4k
Keivan Navi Iran 40 5.0k 2.3× 3.2k 2.5× 1.4k 1.9× 736 2.0× 213 0.7× 301 5.8k
Jaekyun Moon United States 20 928 0.4× 635 0.5× 259 0.4× 738 2.0× 60 0.2× 164 1.9k
Reza Sabbaghi‐Nadooshan Iran 20 912 0.4× 665 0.5× 512 0.7× 147 0.4× 32 0.1× 113 1.2k

Countries citing papers authored by Shaahin Angizi

Since Specialization
Citations

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

Fields of papers citing papers by Shaahin Angizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaahin Angizi

This figure shows the co-authorship network connecting the top 25 collaborators of Shaahin Angizi. A scholar is included among the top collaborators of Shaahin Angizi 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 Shaahin Angizi. Shaahin Angizi 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.
Tabrizchi, Sepehr, et al.. (2024). OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. 1–6. 3 indexed citations
3.
Tabrizchi, Sepehr, Shaahin Angizi, & Arman Roohi. (2024). DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. 1–6. 2 indexed citations
4.
5.
Angizi, Shaahin, et al.. (2024). PANDA: Processing in Magnetic Random-Access Memory-Accelerated de Bruijn Graph-Based DNA Assembly. Journal of Low Power Electronics and Applications. 14(1). 9–9.
6.
Khreishah, Abdallah, et al.. (2024). Semi-Decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach. IEEE Transactions on Vehicular Technology. 73(12). 19400–19416. 10 indexed citations
7.
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
8.
Khreishah, Abdallah, et al.. (2023). IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. 3–8. 3 indexed citations
9.
Roohi, Arman & Shaahin Angizi. (2022). Efficient Targeted Bit-Flip Attack Against the Local Binary Pattern Network. 89–92. 10 indexed citations
10.
Angizi, Shaahin, Zhezhi He, An Chen, & Deliang Fan. (2020). Hybrid Spin-CMOS Polymorphic Logic Gate With Application in In-Memory Computing. IEEE Transactions on Magnetics. 56(2). 1–15. 20 indexed citations
11.
Angizi, Shaahin, Zhezhi He, Amro Awad, & Deliang Fan. (2019). MRIMA: An MRAM-Based In-Memory Accelerator. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(5). 1123–1136. 74 indexed citations
12.
Angizi, Shaahin, Zhezhi He, & Deliang Fan. (2018). PIMA-Logic: A Novel Processing-in-Memory Architecture for Highly Flexible and Energy-Efficient Logic Computation. 1–6. 25 indexed citations
13.
Angizi, Shaahin, Zhezhi He, Adnan Siraj Rakin, & Deliang Fan. (2018). CMP-PIM: An Energy-Efficient Comparator-based Processing-In-Memory Neural Network Accelerator. 1–6. 16 indexed citations
14.
Parveen, Farhana, Zhezhi He, Shaahin Angizi, & Deliang Fan. (2018). HieIM: highly flexible in-memory computing using STT MRAM. Asia and South Pacific Design Automation Conference. 361–366. 8 indexed citations
15.
Parveen, Farhana, Shaahin Angizi, Zhezhi He, & Deliang Fan. (2018). IMCS2: Novel Device-to-Architecture Co-Design for Low-Power In-Memory Computing Platform Using Coterminous Spin Switch. IEEE Transactions on Magnetics. 54(7). 1–14. 14 indexed citations
16.
He, Zhezhi, et al.. (2018). Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. Journal of International Crisis and Risk Communication Research. 4(4). 676–685. 29 indexed citations
17.
Angizi, Shaahin, Zhezhi He, & Deliang Fan. (2018). DIMA: A Depthwise CNN In-Memory Accelerator. Journal of International Crisis and Risk Communication Research. 2018. 1–8. 5 indexed citations
18.
Angizi, Shaahin, Zhezhi He, Adnan Siraj Rakin, & Deliang Fan. (2018). CMP-PIM. Journal of International Crisis and Risk Communication Research. 1–6. 57 indexed citations
19.
Angizi, Shaahin, Zhezhi He, Nader Bagherzadeh, & Deliang Fan. (2017). Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(9). 1788–1801. 43 indexed citations
20.
Parveen, Farhana, Shaahin Angizi, Zhezhi He, & Deliang Fan. (2017). Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. Journal of International Crisis and Risk Communication Research. 1–4. 3 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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