Simon Thomann

514 total citations
37 papers, 324 citations indexed

About

Simon Thomann is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Simon Thomann has authored 37 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 8 papers in Materials Chemistry and 2 papers in Artificial Intelligence. Recurrent topics in Simon Thomann's work include Ferroelectric and Negative Capacitance Devices (29 papers), Semiconductor materials and devices (29 papers) and Advanced Memory and Neural Computing (24 papers). Simon Thomann is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (29 papers), Semiconductor materials and devices (29 papers) and Advanced Memory and Neural Computing (24 papers). Simon Thomann collaborates with scholars based in Germany, United States and India. Simon Thomann's co-authors include Hussam Amrouch, Kai Ni, Om Prakash, Yogesh Singh Chauhan, Xiaobo Sharon Hu, Victor M. van Santen, Aniket Gupta, Shan Deng, Zijian Zhao and Shivendra Singh Parihar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Electron Devices and IEEE Transactions on Computers.

In The Last Decade

Simon Thomann

34 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Thomann Germany	10	314	62	32	25	12	37	324
Om Prakash India	11	412 1.3×	100 1.6×	25 0.8×	18 0.7×	6 0.5×	37	437
Pengpeng Ren China	14	431 1.4×	87 1.4×	28 0.9×	16 0.6×	12 1.0×	87	476
Shivendra Singh Parihar India	7	197 0.6×	25 0.4×	21 0.7×	12 0.5×	8 0.7×	28	220
Zixuan Sun China	12	325 1.0×	55 0.9×	21 0.7×	11 0.4×	5 0.4×	50	362
Jaekyung Shin South Korea	8	191 0.6×	51 0.8×	16 0.5×	10 0.4×	16 1.3×	31	220
Gicheol Shin South Korea	9	269 0.9×	71 1.1×	47 1.5×	13 0.5×	12 1.0×	17	299
Sumitha George United States	12	506 1.6×	118 1.9×	46 1.4×	20 0.8×	31 2.6×	34	524
Zijian Zhao United States	11	284 0.9×	93 1.5×	26 0.8×	36 1.4×	16 1.3×	39	320
Victor M. van Santen Germany	13	386 1.2×	19 0.3×	110 3.4×	28 1.1×	34 2.8×	35	418
Aniket Gupta India	11	296 0.9×	69 1.1×	8 0.3×	12 0.5×	7 0.6×	26	310

Countries citing papers authored by Simon Thomann

Since Specialization

Citations

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

Fields of papers citing papers by Simon Thomann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Thomann

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Thomann. A scholar is included among the top collaborators of Simon Thomann 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 Simon Thomann. Simon Thomann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Thomann, Simon, et al.. (2025). Dual-Bit FeFET for enhanced storage and endurance. 2(1). 1 indexed citations

Thomann, Simon, et al.. (2024). DropHD: Technology/Algorithm Co-Design for Reliable Energy-Efficient NVM-Based Hyper-Dimensional Computing Under Voltage Scaling. 1–6. 1 indexed citations

Thomann, Simon, et al.. (2024). Algorithm to Technology Co-Optimization for CiM-Based Hyperdimensional Computing. 1–6. 3 indexed citations

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

Thomann, Simon, et al.. (2023). Compact and High-Performance TCAM Based on Scaled Double-Gate FeFETs. 1–6. 2 indexed citations

Parihar, Shivendra Singh, Simon Thomann, Girish Pahwa, Yogesh Singh Chauhan, & Hussam Amrouch. (2023). Cryogenic In-Memory Computing for Quantum Processors Using Commercial 5-nm FinFETs. SHILAP Revista de lepidopterología. 4. 258–270. 3 indexed citations

Thomann, Simon, et al.. (2023). Compact CMOS-Compatible Majority Gate Using Body Biasing in FDSOI Technology. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(1). 86–95.

Thomann, Simon, et al.. (2023). Reliable FeFET-based Neuromorphic Computing through Joint Modeling of Cycle-to-Cycle Variability, Device-to-Device Variability, and Domain Stochasticity. 1–5. 2 indexed citations

Bishnoi, Rajendra, Anteneh Gebregiorgis, Simon Thomann, et al.. (2023). Energy-efficient Computation-In-Memory Architecture using Emerging Technologies. SPIRE - Sciences Po Institutional REpository. 325–334. 3 indexed citations

10.

Thomann, Simon, et al.. (2023). ML-TCAD: Accelerating FeFET Reliability Analysis Using Machine Learning. IEEE Transactions on Electron Devices. 71(1). 213–222. 6 indexed citations

11.

Thomann, Simon, et al.. (2023). HW/SW Co-Design for Reliable TCAM- Based In-Memory Brain-Inspired Hyperdimensional Computing. IEEE Transactions on Computers. 72(8). 2404–2417. 14 indexed citations

12.

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

13.

Núñez, Juan, Simon Thomann, Hussam Amrouch, & M.J. Avedillo. (2022). Mitigating the Impact of Variability in NCFET-based Coupled-Oscillator Networks Applications. 1–4. 1 indexed citations

14.

Deng, Shan, Simon Thomann, Zijian Zhao, et al.. (2022). Compact Ferroelectric Programmable Majority Gate for Compute-in-Memory Applications. 2022 International Electron Devices Meeting (IEDM). 7 indexed citations

15.

Thomann, Simon, et al.. (2022). All-in-Memory Brain-Inspired Computing Using FeFET Synapses. SHILAP Revista de lepidopterología. 3. 13 indexed citations

16.

Ni, Kai, Simon Thomann, Om Prakash, et al.. (2021). On the Channel Percolation in Ferroelectric FET Towards Proper Analog States Engineering. 2021 IEEE International Electron Devices Meeting (IEDM). 15.3.1–15.3.4. 35 indexed citations

17.

Amrouch, Hussam, Xiaobo Sharon Hu, Mohsen Imani, et al.. (2021). Cross-layer Design for Computing-in-Memory. 132–139. 2 indexed citations

18.

Santen, Victor M. van, et al.. (2021). Reliability-Driven Voltage Optimization for NCFET-based SRAM Memory Banks. 1–7. 2 indexed citations

19.

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.

20.

Santen, Victor M. van, Simon Thomann, Uma Sharma, et al.. (2020). BTI and HCD Degradation in a Complete 32 × 64 bit SRAM Array – including Sense Amplifiers and Write Drivers – under Processor Activity. 1–7. 15 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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