Sven Beyer

1.9k total citations · 1 hit paper
48 papers, 1.3k citations indexed

About

Sven Beyer is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Hardware and Architecture. According to data from OpenAlex, Sven Beyer has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 14 papers in Materials Chemistry and 3 papers in Hardware and Architecture. Recurrent topics in Sven Beyer's work include Ferroelectric and Negative Capacitance Devices (47 papers), Semiconductor materials and devices (38 papers) and Advanced Memory and Neural Computing (29 papers). Sven Beyer is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (47 papers), Semiconductor materials and devices (38 papers) and Advanced Memory and Neural Computing (29 papers). Sven Beyer collaborates with scholars based in Germany, United States and India. Sven Beyer's co-authors include Stefan Dünkel, Halid Mulaosmanovic, Thomas Mikolajick, Stefan Slesazeck, Martin Trentzsch, Evelyn T. Breyer, Johannes Müller, Kai Ni, Suman Datta and Xiaobo Sharon Hu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Sven Beyer

44 papers receiving 1.3k citations

Hit Papers

Ferroelectric ternary content-addressable memory for one-... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Beyer Germany 19 1.3k 469 85 68 67 48 1.3k
Stefan Dünkel Germany 16 1.1k 0.9× 400 0.9× 78 0.9× 53 0.8× 63 0.9× 37 1.1k
Martin Trentzsch Germany 18 1.5k 1.2× 696 1.5× 74 0.9× 46 0.7× 66 1.0× 40 1.6k
Kai‐Shin Li Taiwan 13 739 0.6× 302 0.6× 51 0.6× 59 0.9× 24 0.4× 36 804
Shosuke Fujii Japan 15 706 0.6× 238 0.5× 48 0.6× 55 0.8× 38 0.6× 53 748
Tarek Ali Germany 23 1.9k 1.5× 1.0k 2.2× 63 0.7× 77 1.1× 29 0.4× 75 2.0k
Wen‐Kuan Yeh Taiwan 17 1.1k 0.9× 238 0.5× 48 0.6× 125 1.8× 32 0.5× 93 1.2k
Jixuan Wu China 14 630 0.5× 403 0.9× 78 0.9× 57 0.8× 27 0.4× 86 773
Ricardo Olivo Germany 19 1.1k 0.9× 636 1.4× 39 0.5× 38 0.6× 29 0.4× 65 1.2k
Aaryan Oberoi United States 10 608 0.5× 366 0.8× 91 1.1× 128 1.9× 40 0.6× 11 822
Min‐Cheng Chen Taiwan 14 805 0.6× 258 0.6× 46 0.5× 99 1.5× 13 0.2× 34 850

Countries citing papers authored by Sven Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Sven Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Beyer

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Beyer. A scholar is included among the top collaborators of Sven Beyer 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 Sven Beyer. Sven Beyer 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.
Luo, Yuan-Chun, et al.. (2025). Ternary Content Addressable Memory With Ferroelectric Non-Volatile Capacitor. IEEE Electron Device Letters. 46(5). 872–875. 2 indexed citations
2.
Mulaosmanovic, Halid, et al.. (2024). Origin of charges in bulk Si:HfO2 FeFET probed by nanosecond polarization measurements. Microelectronic Engineering. 296. 112284–112284.
3.
Lashkare, Sandip, Halid Mulaosmanovic, Veeresh Deshpande, et al.. (2024). Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for the TCAM, Storage, and In-Memory Computing Applications. IEEE Transactions on Electron Devices. 71(5). 2957–2962. 1 indexed citations
5.
Lashkare, Sandip, et al.. (2024). FeFET-Based MirrorBit Cell for High-Density NVM Storage. IEEE Transactions on Electron Devices. 71(4). 2380–2385. 3 indexed citations
6.
Mulaosmanovic, Halid, et al.. (2024). Reliability Assesement of Ferroelectric nvCAP for Small-Signal Capacitive Read-Out. 1–5. 5 indexed citations
8.
Dünkel, Stefan, Halid Mulaosmanovic, Johannes Müller, et al.. (2024). Charge Trapping and Endurance Degradation in Ferroelectric Field-Effect Transistors. 1–5. 1 indexed citations
9.
Mulaosmanovic, Halid, Sven Beyer, Xiao Gong, et al.. (2023). Evaluating the Robustness of Complementary Channel Ferroelectric FETs Against Total Ionizing Dose Toward Radiation-Tolerant Embedded Nonvolatile Memory. IEEE Electron Device Letters. 45(7). 1165–1168. 1 indexed citations
10.
Kim, Tae‐Hyeon, Yuan-Chun Luo, Halid Mulaosmanovic, et al.. (2023). Tunable Non-Volatile Gate-to-Source/Drain Capacitance of FeFET for Capacitive Synapse. IEEE Electron Device Letters. 44(10). 1628–1631. 31 indexed citations
11.
Mulaosmanovic, Halid, et al.. (2023). Sub-Nanosecond Switching of Si:HfO2 Ferroelectric Field-Effect Transistor. Nano Letters. 23(4). 1395–1400. 43 indexed citations
12.
Müller, Franz, Yannick Raffel, Maximilian Lederer, et al.. (2023). Fixed charges at the HfO 2 /SiO2 interface: Impact on the memory window of FeFET. SHILAP Revista de lepidopterología. 4. 100050–100050. 2 indexed citations
13.
Parmar, Vivek, Franz Müller, Sandeep Kaur Kingra, et al.. (2023). Demonstration of Differential Mode Ferroelectric Field‐Effect Transistor Array‐Based in‐Memory Computing Macro for Realizing Multiprecision Mixed‐Signal Artificial Intelligence Accelerator. SHILAP Revista de lepidopterología. 5(6). 12 indexed citations
14.
Zhao, Zijian, Shan Deng, Yi Xiao, et al.. (2022). On the Feasibility of 1T Ferroelectric FET Memory Array. IEEE Transactions on Electron Devices. 69(12). 6722–6730. 7 indexed citations
15.
Xu, Yixin, Shan Deng, Zijian Zhao, et al.. (2022). Hardware functional obfuscation with ferroelectric active interconnects. Nature Communications. 13(1). 2235–2235. 12 indexed citations
16.
Raffel, Yannick, Sourav De, Maximilian Lederer, et al.. (2022). Synergistic Approach of Interfacial Layer Engineering and READ-Voltage Optimization in HfO2-Based FeFETs for In-Memory-Computing Applications. ACS Applied Electronic Materials. 4(11). 5292–5300. 23 indexed citations
17.
Raffel, Yannick, Maximilian Lederer, Ricardo Olivo, et al.. (2022). Interfacial Layer Engineering to Enhance Noise Immunity of FeFETs for IMC Applications. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 8–11. 7 indexed citations
18.
Mulaosmanovic, Halid, Evelyn T. Breyer, Stefan Dünkel, et al.. (2021). Ferroelectric field-effect transistors based on HfO 2 : a review. Nanotechnology. 32(50). 502002–502002. 213 indexed citations
19.
Breyer, Evelyn T., Halid Mulaosmanovic, Jens Trommer, et al.. (2020). Compact FeFET Circuit Building Blocks for Fast and Efficient Nonvolatile Logic-in-Memory. IEEE Journal of the Electron Devices Society. 8. 748–756. 38 indexed citations
20.
Ni, Kai, Xunzhao Yin, Ann Franchesca Laguna, et al.. (2020). Author Correction: Ferroelectric ternary content-addressable memory for one-shot learning. Nature Electronics. 3(2). 130–130. 1 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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