Hussam Amrouch

4.1k total citations
263 papers, 2.8k citations indexed

About

Hussam Amrouch is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Materials Chemistry. According to data from OpenAlex, Hussam Amrouch has authored 263 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 242 papers in Electrical and Electronic Engineering, 53 papers in Hardware and Architecture and 33 papers in Materials Chemistry. Recurrent topics in Hussam Amrouch's work include Semiconductor materials and devices (154 papers), Ferroelectric and Negative Capacitance Devices (133 papers) and Advanced Memory and Neural Computing (111 papers). Hussam Amrouch is often cited by papers focused on Semiconductor materials and devices (154 papers), Ferroelectric and Negative Capacitance Devices (133 papers) and Advanced Memory and Neural Computing (111 papers). Hussam Amrouch collaborates with scholars based in Germany, United States and India. Hussam Amrouch's co-authors include Jörg Henkel, Yogesh Singh Chauhan, Victor M. van Santen, Om Prakash, Simon Thomann, Girish Pahwa, Georgios Zervakis, Andreas Gerstlauer, Jörg Henkel and Kai Ni and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Hussam Amrouch

237 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hussam Amrouch Germany 27 2.4k 669 345 260 255 263 2.8k
Takahiro Hanyu Japan 29 3.1k 1.3× 638 1.0× 357 1.0× 540 2.1× 634 2.5× 329 4.0k
Larry Pileggi United States 27 2.0k 0.8× 1.0k 1.5× 163 0.5× 161 0.6× 338 1.3× 151 2.5k
Xuecheng Zou China 19 1.1k 0.5× 268 0.4× 132 0.4× 338 1.3× 175 0.7× 254 1.9k
Xunzhao Yin China 23 1.7k 0.7× 352 0.5× 338 1.0× 385 1.5× 97 0.4× 116 2.0k
Hafizur Rahaman India 21 2.1k 0.9× 322 0.5× 557 1.6× 583 2.2× 195 0.8× 432 2.9k
Tony Tae-Hyoung Kim Singapore 22 1.5k 0.6× 384 0.6× 69 0.2× 186 0.7× 138 0.5× 154 1.7k
Yu-Der Chih Taiwan 31 2.2k 0.9× 395 0.6× 111 0.3× 304 1.2× 196 0.8× 80 2.4k
Arun Subramaniyan United States 16 739 0.3× 446 0.7× 346 1.0× 239 0.9× 298 1.2× 52 1.9k
Ajay Joshi United States 25 1.6k 0.7× 654 1.0× 91 0.3× 641 2.5× 695 2.7× 124 2.4k
Win-San Khwa Taiwan 27 2.0k 0.8× 307 0.5× 130 0.4× 364 1.4× 162 0.6× 66 2.2k

Countries citing papers authored by Hussam Amrouch

Since Specialization
Citations

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

Fields of papers citing papers by Hussam Amrouch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hussam Amrouch

This figure shows the co-authorship network connecting the top 25 collaborators of Hussam Amrouch. A scholar is included among the top collaborators of Hussam Amrouch 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 Hussam Amrouch. Hussam Amrouch 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.
Chauhan, Yogesh Singh, et al.. (2025). A Lightweight PUF-Based Weights Obfuscation Technique for Secure In-Memory AI Inference. IEEE Transactions on Circuits and Systems I Regular Papers. 72(10). 5597–5609.
2.
Halawani, Yasmin, Yahya Zweiri, Hussam Amrouch, et al.. (2025). TransHD: Spatial Transformer Features Extraction for HDC Synergetic Learning. IEEE Transactions on Artificial Intelligence. 7(1). 157–171.
3.
Parihar, Shivendra Singh, et al.. (2025). Cryogenic Hyperdimensional In-Memory Computing Using Ferroelectric TCAM. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 11. 34–41.
4.
Gaidhane, Amol D., et al.. (2024). Temperature- and variability-aware compact modeling of ferroelectric FDSOI FET for memory and emerging applications. Solid-State Electronics. 218. 108954–108954. 1 indexed citations
5.
Amrouch, Hussam, et al.. (2024). Frontiers in Edge AI with RISC-V: Hyperdimensional Computing vs. Quantized Neural Networks. 1–6. 1 indexed citations
6.
Ni, Kai, Wriddhi Chakraborty, Yogesh Singh Chauhan, et al.. (2024). A Physics-Based Model for Oxide–Semiconductor-Based Ferroelectric Field-Effect Transistors. IEEE Transactions on Electron Devices. 71(7). 4397–4402. 5 indexed citations
7.
Franke, Leonard, et al.. (2024). Integrated CPU Monitoring Using 2D Temperature Sensor Arrays Directly Printed on Heat Sinks. Advanced Materials Technologies. 9(8). 1 indexed citations
8.
Amrouch, Hussam, et al.. (2023). CARAT – A reliability analysis framework for BTI-HCD aging in circuits. Solid-State Electronics. 201. 108586–108586. 7 indexed citations
9.
Parihar, Shivendra Singh, Victor M. van Santen, Simon Thomann, et al.. (2023). Cryogenic CMOS for Quantum Processing: 5-nm FinFET-Based SRAM Arrays at 10 K. IEEE Transactions on Circuits and Systems I Regular Papers. 70(8). 3089–3102. 21 indexed citations
10.
Halawani, Yasmin, Yahya Zweiri, Hussam Amrouch, et al.. (2023). TransHD: Spatial Transformer Features Extraction for HDC Synergetic Learning. SSRN Electronic Journal. 1 indexed citations
11.
Parihar, Shivendra Singh, et al.. (2023). Cryogenic Embedded System to Support Quantum Computing: From 5-nm FinFET to Full Processor. IEEE Transactions on Quantum Engineering. 4. 1–11. 7 indexed citations
12.
Frustaci, Fabio, et al.. (2023). HW/SW Codesign for Approximation-Aware Binary Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(1). 33–47. 1 indexed citations
13.
Thomann, Simon, et al.. (2022). Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture. IEEE Transactions on Circuits and Systems I Regular Papers. 69(6). 2516–2528. 9 indexed citations
14.
Rapp, Martin, Hussam Amrouch, Yibo Lin, et al.. (2021). MLCAD: A Survey of Research in Machine Learning for CAD Keynote Paper. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(10). 3162–3181. 60 indexed citations
15.
Weis, Christian, et al.. (2021). Longevity of Commodity DRAMs in Harsh Environments Through Thermoelectric Cooling. IEEE Access. 9. 83950–83962. 11 indexed citations
16.
Gupta, Aniket, Jian-Jia Chen, Jörg Henkel, et al.. (2021). FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors. IEEE Transactions on Computers. 71(7). 1681–1695. 10 indexed citations
17.
Thomann, Simon, et al.. (2020). BTI and HCD Degradation in a Complete 32 ・ 64 bit SRAM Array - including Sense Amplifiers and Write Drivers - under Processor Activity. IEEE Conference Proceedings. 2020. 1–7.
18.
Santen, Victor M. van, et al.. (2019). On the Workload Dependence of Self-Heating in FinFET Circuits. IEEE Transactions on Circuits & Systems II Express Briefs. 67(10). 1949–1953. 9 indexed citations
19.
Amrouch, Hussam, et al.. (2019). Unveiling the Impact of IR-Drop on Performance Gain in NCFET-Based Processors. IEEE Transactions on Electron Devices. 66(7). 3215–3223. 23 indexed citations
20.
Amrouch, Hussam, et al.. (2018). A Simulation Study of NBTI Impact on 14-nm Node FinFET Technology for Logic Applications: Device Degradation to Circuit-Level Interaction. IEEE Transactions on Electron Devices. 66(1). 271–278. 52 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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