Arman Roohi

1.3k total citations
92 papers, 964 citations indexed

About

Arman Roohi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Arman Roohi has authored 92 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Electrical and Electronic Engineering, 21 papers in Artificial Intelligence and 19 papers in Computational Theory and Mathematics. Recurrent topics in Arman Roohi's work include Advanced Memory and Neural Computing (51 papers), Quantum-Dot Cellular Automata (18 papers) and Ferroelectric and Negative Capacitance Devices (17 papers). Arman Roohi is often cited by papers focused on Advanced Memory and Neural Computing (51 papers), Quantum-Dot Cellular Automata (18 papers) and Ferroelectric and Negative Capacitance Devices (17 papers). Arman Roohi collaborates with scholars based in United States, Iran and Australia. Arman Roohi's co-authors include Ronald F. DeMara, Shaahin Angizi, Ramtin Zand, Keivan Navi, Hossein Khademolhosseini, Navid Khoshavi, Samira Sayedsalehi, Deliang Fan, Sepehr Tabrizchi and Shadi Sheikhfaal and has published in prestigious journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Computers and Journal of Media Literacy Education.

In The Last Decade

Arman Roohi

76 papers receiving 937 citations

Peers

Arman Roohi
Vikramkumar Pudi India
Sanjukta Bhanja United States
Abdolah Amirany Iran
Biplab K. Sikdar India
Bibhash Sen India
Timothy J. Dysart United States
Gianluca Piccinini Italy
Jun‐Cheol Jeon South Korea
M.J. Avedillo Spain
Ramin Rajaei Iran
Vikramkumar Pudi India
Arman Roohi
Citations per year, relative to Arman Roohi Arman Roohi (= 1×) peers Vikramkumar Pudi

Countries citing papers authored by Arman Roohi

Since Specialization
Citations

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

Fields of papers citing papers by Arman Roohi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arman Roohi

This figure shows the co-authorship network connecting the top 25 collaborators of Arman Roohi. A scholar is included among the top collaborators of Arman Roohi 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 Arman Roohi. Arman Roohi 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.
Balasubramaniam, Sasitharan, et al.. (2025). Wet-Neuromorphic Computing: A New Paradigm for Biological Artificial Intelligence. IEEE Intelligent Systems. 40(3). 39–48. 2 indexed citations
2.
Roohi, Arman, et al.. (2025). Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate. 2(2). 101–113. 2 indexed citations
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Tabrizchi, Sepehr, et al.. (2024). OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. 1–6. 3 indexed citations
6.
Tabrizchi, Sepehr, Shaahin Angizi, & Arman Roohi. (2024). DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. 1–6. 2 indexed citations
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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
9.
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
10.
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
11.
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.
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Tabrizchi, Sepehr, et al.. (2024). RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security. 551–555. 1 indexed citations
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Tabrizchi, Sepehr, et al.. (2024). DECO: Dynamic Energy-aware Compression and Optimization for In-Memory Neural Networks. 1441–1445. 1 indexed citations
16.
Roohi, Arman, et al.. (2024). A Review on API Security Risk and Vulnerability Assessment. 1–4.
17.
Tabrizchi, Sepehr, et al.. (2023). Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. 1–5. 1 indexed citations
18.
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
19.
Roohi, Arman & Shaahin Angizi. (2022). Efficient Targeted Bit-Flip Attack Against the Local Binary Pattern Network. 89–92. 10 indexed citations
20.

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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