Stefan Dünkel

2.2k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Stefan Dünkel is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Hardware and Architecture. According to data from OpenAlex, Stefan Dünkel has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 12 papers in Materials Chemistry and 2 papers in Hardware and Architecture. Recurrent topics in Stefan Dünkel's work include Ferroelectric and Negative Capacitance Devices (36 papers), Semiconductor materials and devices (32 papers) and Advanced Memory and Neural Computing (20 papers). Stefan Dünkel is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (36 papers), Semiconductor materials and devices (32 papers) and Advanced Memory and Neural Computing (20 papers). Stefan Dünkel collaborates with scholars based in Germany, United States and India. Stefan Dünkel's co-authors include Sven Beyer, Halid Mulaosmanovic, Thomas Mikolajick, Stefan Slesazeck, Evelyn T. Breyer, Martin Trentzsch, Johannes Müller, Kai Ni, Xiaobo Sharon Hu and Suman Datta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Stefan Dünkel

35 papers receiving 1.1k 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
Stefan Dünkel Germany 16 1.1k 400 78 63 53 37 1.1k
Sven Beyer Germany 19 1.3k 1.2× 469 1.2× 85 1.1× 67 1.1× 68 1.3× 48 1.3k
Martin Trentzsch Germany 18 1.5k 1.4× 696 1.7× 74 0.9× 66 1.0× 46 0.9× 40 1.6k
Kai‐Shin Li Taiwan 13 739 0.7× 302 0.8× 51 0.7× 24 0.4× 59 1.1× 36 804
Wen‐Kuan Yeh Taiwan 17 1.1k 1.0× 238 0.6× 48 0.6× 32 0.5× 125 2.4× 93 1.2k
Jixuan Wu China 14 630 0.6× 403 1.0× 78 1.0× 27 0.4× 57 1.1× 86 773
Chi-Shuen Lee United States 8 499 0.5× 228 0.6× 30 0.4× 40 0.6× 111 2.1× 12 578
Ricardo Olivo Germany 19 1.1k 1.0× 636 1.6× 39 0.5× 29 0.5× 38 0.7× 65 1.2k
Shan Deng United States 15 668 0.6× 372 0.9× 36 0.5× 40 0.6× 41 0.8× 52 740
Hsiang-Lan Lung Taiwan 10 566 0.5× 300 0.8× 85 1.1× 46 0.7× 27 0.5× 32 631
Panni Wang United States 16 632 0.6× 175 0.4× 78 1.0× 22 0.3× 19 0.4× 28 655

Countries citing papers authored by Stefan Dünkel

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Dünkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Dünkel

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Dünkel. A scholar is included among the top collaborators of Stefan Dünkel 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 Stefan Dünkel. Stefan Dünkel 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
7.
Dünkel, Stefan, Halid Mulaosmanovic, Johannes Müller, et al.. (2024). Charge Trapping and Endurance Degradation in Ferroelectric Field-Effect Transistors. 1–5. 1 indexed citations
8.
Beyer, Sven, Stefan Dünkel, Halid Mulaosmanovic, et al.. (2024). Charge trapping challenges of CMOS embedded complementary FeFETs. 1–4. 6 indexed citations
9.
Mulaosmanovic, Halid, et al.. (2023). Sub-Nanosecond Switching of Si:HfO2 Ferroelectric Field-Effect Transistor. Nano Letters. 23(4). 1395–1400. 43 indexed citations
10.
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
11.
De, Sourav, Franz Müller, Maximilian Lederer, et al.. (2023). 28nm HKMG 1F-1R2 Multilevel Memory for Inference Engine Application. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–2. 2 indexed citations
12.
De, Sourav, Franz Müller, Nellie Laleni, et al.. (2022). Demonstration of Multiply-Accumulate Operation With 28 nm FeFET Crossbar Array. IEEE Electron Device Letters. 43(12). 2081–2084. 32 indexed citations
13.
Müller, S., Huimei Zhou, Marko Noack, et al.. (2021). Development status of gate-first FeFET technology. Symposium on VLSI Technology. 1–2. 4 indexed citations
14.
Ocker, J., Milan Pešić, Andrea Padovani, et al.. (2021). Mechanism of Retention Degradation after Endurance Cycling of HfO 2 -based Ferroelectric Transistors. Symposium on VLSI Technology. 1–2. 5 indexed citations
15.
Sessi, V., Maik Simon, Stefan Slesazeck, et al.. (2021). S2–2 Back-Bias Reconfigurable Field Effect Transistor: A Flexible Add-On Functionality for 22 nm FDSOI. 1–2. 1 indexed citations
16.
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
17.
Müller, Franz, Maximilian Lederer, Ricardo Olivo, et al.. (2021). Current percolation path impacting switching behavior of ferroelectric FETs. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–2. 26 indexed citations
18.
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
19.
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
20.
Lederer, Maximilian, Franz Müller, Kati Kühnel, et al.. (2020). Integration of Hafnium Oxide on Epitaxial SiGe for p-type Ferroelectric FET Application. IEEE Electron Device Letters. 41(12). 1762–1765. 21 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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