Rawan Naous

1.2k citations

21 papers · 851 indexed · 1 hit paper · h-index 12

Impact in

Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Electrical and Electronic Engineering top 5%
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- CCD and CMOS Imaging Sensors

Papers in

Hardware and Architecture 4
- Parallel Computing and Optimization Techniques 2
- Physical Unclonable Functions (PUFs) and Hardware Security 2
Cellular and Molecular Neuroscience 8
- Neuroscience and Neural Engineering 8

Co-authors: K. Saláma Maruan Al-Shedivat Gert Cauwenberghs Kerem Akarvardar Dar Sun Mahmut E. Sinangil Hung-Jen Liao Yuxiao Wang
Journals: Scientific Reports (2 papers)IEEE Electron Device Letters (1 paper)IEEE Journal of Solid-State Circuits (1 paper)AIP Advances (1 paper)IEEE Access (1 paper)
Partner nations: United States Saudi Arabia Taiwan

In The Last Decade

Rawan Naous

21 papers receiving 839 citations

Hit Papers

align trajectories log scale

16.4 An 89TOPS/W and 16.3TOPS/mm² All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications 2021 · 206 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2021 16.4 An 89TOPS/W and 16.3TOPS/mm² All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications

Peers

Countries citing papers authored by Rawan Naous

Since Specialization

Citations

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

Fields of papers citing papers by Rawan Naous

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	Overcoming Memory Limitations for On-Device AI and LLM in Wearable AR Systems Huichu Liu, Daniel H. Morris, Lita Yang, Zie Wang, Tony F. Wu, Zhang Yun, Enkhtugs Badarch, Ümüt Arslan, Baolin Yi, Rawan Naous, 万信琼, Édith Beigné	2024	1
2	A 5-nm 254-TOPS/W 221-TOPS/mm² Fully-Digital Computing-in-Memory Macro Supporting Wide-Range Dynamic-Voltage-Frequency Scaling and Simultaneous MAC and Write Operations 2022 IEEE International Solid- State Circuits Conference (ISSCC) ·Hidehiro Fujiwara, H. Mori, Meshal Fawaz Aldhamen, Mei‐Chen Chuang, Rawan Naous, Yirong Yin, 陳里菜, Dar Sun, Chia-Fu Lee, Kerem Akarvardar, Saman Adham, Tan‐Li Chou, Mahmut E. Sinangil, Yuxiao Wang, Yu-Der Chih, Yen-Huei Chen, Hung-Jen Liao, Tsung-Yung Jonathan Chang	2022	134
3	Non-Volatile Nano-Electro-Mechanical Switches and Hybrid Circuits in a 16 nm CMOS Back-End-of-Line Process IEEE Electron Device Letters ·Marcílio Souza Júnior, Rawan Naous, Vladimir Stojanović, Tsu‐Jae King Liu	2022	8
4	16.4 An 89TOPS/W and 16.3TOPS/mm² All-Digital SRAM-Based Full-Precision Compute-In Memory Macro in 22nm for Machine-Learning Edge Applications Yu-Der Chih, Po-Hao Lee, Hidehiro Fujiwara, Yi-Chun Shih, Chia-Fu Lee, Rawan Naous, Yulin Chen, Chieh-Pu Lo, Cheng-Han Lu, H. Mori, Meshal Fawaz Aldhamen, Dar Sun, Mahmut E. Sinangil, Yen-Huei Chen, Tan‐Li Chou, Kerem Akarvardar, Hung-Jen Liao, Yuxiao Wang, Meng‐Fan Chang, Tsung-Yung Jonathan Chang Hit paper breakdown →	2021	206
5	Theory and experimental verification of configurable computing with stochastic memristors Scientific Reports ·Rawan Naous, Anne Siemon, J Somlai, Kai-Hao Chang, М. В. Ткачева, Michael Lübben, Arne Heittmann, Rainer Waser, K. Saláma, Stephan Menzel	2021	14
6	PCM-Based Analog Compute-In-Memory: Impact of Device Non-Idealities on Inference Accuracy IEEE Transactions on Electron Devices ·Xiaoyu Sun, Win-San Khwa, 洋輔有野, 杨正运, Niping Liu, Masaya Ohana, Rawan Naous, Bekir Oruncak, Xiaoming Huang, Xinyu Bao, Meng‐Fan Chang, C.H. Diaz, Hoilun Wong, Kerem Akarvardar	2021	37
7	A 7-nm Compute-in-Memory SRAM Macro Supporting Multi-Bit Input, Weight and Output and Achieving 351 TOPS/W and 372.4 GOPS IEEE Journal of Solid-State Circuits ·Mahmut E. Sinangil, Burak Erbagci, Rawan Naous, Kerem Akarvardar, Dar Sun, Win-San Khwa, Hung-Jen Liao, Yuxiao Wang, Jonathan Chang	2020	119
8	Approximate Computing With Stochastic Transistors’ Voltage Over-Scaling IEEE Access ·Ren Li, Rawan Naous, Hossein Fariborzi, K. Saláma	2018	8
9	Hardware emulation of Memristor based Ternary Content Addressable Memory King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Mohamed A. Bahloul, Rawan Naous, Mohamed Masmoudi	2017	5
10	Design and analysis of 2T-2M Ternary content addressable memories King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Mohamed A. Bahloul, Mohammed E. Fouda, Rawan Naous, Mohammed A. Zidan, Ahmed M. Eltawil, Fadi Kurdahi, K. Saláma	2017	11
11	Statistical Analysis for Memristor Crossbar Memories. International journal of unconventional computing ·Rawan Naous, Mohammed A. Zidan, Ahmed Sultan, K. Saláma	2016	1
12	Single-Readout High-Density Memristor Crossbar Scientific Reports ·Mohammed A. Zidan, Hesham Omran, Rawan Naous, Ahmed Sultan, Hossam A. H. Fahmy, Wei Lü, K. Saláma	2016	38
13	Pilot assisted readout for passive memristor crossbars Microelectronics Journal ·Rawan Naous, Mohammed A. Zidan, Ahmed Sultan, K. Saláma	2016	8
14	Stochastic synaptic plasticity with memristor crossbar arrays King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Rawan Naous, Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs, K. Saláma	2016	7
15	Channel equalization techniques for non-volatile memristor memories King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Rawan Naous, Mohammed A. Zidan, Ahmed Sultan, K. Saláma	2016	2
16	Memristor-based neural networks: Synaptic versus neuronal stochasticity AIP Advances ·Rawan Naous, Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs, K. Saláma	2016	29
17	Stochasticity Modeling in Memristors IEEE Transactions on Nanotechnology ·Rawan Naous, Maruan Al-Shedivat, K. Saláma	2015	84
18	Memristors Empower Spiking Neurons With Stochasticity IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Maruan Al-Shedivat, Rawan Naous, Gert Cauwenberghs, K. Saláma	2015	97
19	Inherently stochastic spiking neurons for probabilistic neural computation King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Maruan Al-Shedivat, Rawan Naous, Emre Neftci, Gert Cauwenberghs, K. Saláma	2015	16
20	Memristor based crossbar memory array sneak path estimation King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Rawan Naous, Mohammed A. Zidan, 郭成浩, K. Saláma	2014	13

About Rawan Naous

Rawan Naous is a scholar working on Hardware and Architecture, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 851 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (19 papers), Ferroelectric and Negative Capacitance Devices (10 papers), Neuroscience and Neural Engineering (8 papers), Neural dynamics and brain function (5 papers), CCD and CMOS Imaging Sensors (2 papers), Parallel Computing and Optimization Techniques (2 papers), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Hardware and Architecture (162 citations), Electrical and Electronic Engineering (777 citations), Cellular and Molecular Neuroscience (171 citations), Cognitive Neuroscience (110 citations) and Artificial Intelligence (135 citations). Rawan Naous has collaborated with scholars based in United States, Saudi Arabia and Taiwan. Frequent co-authors include K. Saláma, Maruan Al-Shedivat, Gert Cauwenberghs, Kerem Akarvardar, Dar Sun, Mahmut E. Sinangil, Hung-Jen Liao, Yuxiao Wang, H. Mori and Tan‐Li Chou. Their work appears in journals such as Scientific Reports, IEEE Electron Device Letters, IEEE Journal of Solid-State Circuits, AIP Advances and IEEE Access.

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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