Fabian Ducry

1.2k total citations · 2 hit papers
22 papers, 905 citations indexed

About

Fabian Ducry is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Fabian Ducry has authored 22 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 10 papers in Materials Chemistry and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Fabian Ducry's work include Advanced Memory and Neural Computing (12 papers), Semiconductor materials and devices (8 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). Fabian Ducry is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Semiconductor materials and devices (8 papers) and Ferroelectric and Negative Capacitance Devices (7 papers). Fabian Ducry collaborates with scholars based in Switzerland, United States and Belgium. Fabian Ducry's co-authors include Mathieu Luisier, Juerg Leuthold, Alexandros Emboras, Yannick Salamin, Yuriy Fedoryshyn, Arne Josten, Benedikt Baeuerle, Ueli Koch, Christian Hafner and Jens Niegemann and has published in prestigious journals such as The Journal of Chemical Physics, ACS Nano and Applied Physics Letters.

In The Last Decade

Fabian Ducry

22 papers receiving 876 citations

Hit Papers

All-plasmonic Mach–Zehnder modulator enabling optical hig... 2015 2026 2018 2022 2015 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabian Ducry Switzerland 9 688 306 269 208 124 22 905
Doeon Lee United States 16 499 0.7× 488 1.6× 131 0.5× 137 0.7× 166 1.3× 22 813
Leyong Jiang China 15 545 0.8× 135 0.4× 316 1.2× 332 1.6× 176 1.4× 51 858
Bojun Cheng Switzerland 9 638 0.9× 95 0.3× 339 1.3× 278 1.3× 185 1.5× 27 821
Mirko Fraschke Germany 13 864 1.3× 332 1.1× 239 0.9× 205 1.0× 23 0.2× 43 1.1k
Nicolò Zagni Italy 16 905 1.3× 300 1.0× 97 0.4× 211 1.0× 258 2.1× 55 1.1k
Huading Song China 10 299 0.4× 581 1.9× 161 0.6× 200 1.0× 89 0.7× 18 744
Jae‐Pil So South Korea 10 272 0.4× 258 0.8× 162 0.6× 153 0.7× 75 0.6× 18 515
Dean Kos United Kingdom 8 269 0.4× 197 0.6× 374 1.4× 311 1.5× 180 1.5× 10 615
Daewon Ha South Korea 19 1.6k 2.4× 414 1.4× 184 0.7× 121 0.6× 82 0.7× 86 1.7k

Countries citing papers authored by Fabian Ducry

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Ducry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Ducry

This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Ducry. A scholar is included among the top collaborators of Fabian Ducry 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 Fabian Ducry. Fabian Ducry 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.
Troeye, Benoît Van, et al.. (2025). Impact of Interface and Surface Oxide Defects on WS2 Electronic Properties from First Principles. ACS Nano. 19(12). 11664–11674. 2 indexed citations
2.
Troeye, Benoît Van, Fabian Ducry, Jiang Cao, et al.. (2025). Mobility calculation in disordered WS2-Al2O3 stacks from first principles. npj 2D Materials and Applications. 9(1). 2 indexed citations
3.
Clima, Sergiu, Fabian Ducry, Daniele Garbin, et al.. (2024). Selector Only Memory: Exploring Atomic Mechanisms from First-Principles. 1–4. 3 indexed citations
4.
Ducry, Fabian, Benoît Van Troeye, César Javier Lockhart de la Rosa, et al.. (2024). First principles modelling perspective for 2D channel – 3D oxide interfaces. 1–3. 1 indexed citations
7.
Ducry, Fabian, et al.. (2022). Influence of the hBN Dielectric Layers on the Quantum Transport Properties of MoS2 Transistors. Materials. 15(3). 1062–1062. 7 indexed citations
8.
Ducry, Fabian, Dominic Waldhoer, Theresia Knobloch, et al.. (2022). An ab initio study on resistance switching in hexagonal boron nitride. npj 2D Materials and Applications. 6(1). 21 indexed citations
9.
Bani-Hashemian, Mohammad Hossein, et al.. (2022). Insights into few-atom conductive bridging random access memory cells with a combined force-field/ab initio scheme. Solid-State Electronics. 199. 108493–108493. 5 indexed citations
10.
Knobloch, Theresia, Yu. Yu. Illarionov, Fabian Ducry, et al.. (2021). The performance limits of hexagonal boron nitride as an insulator for scaled CMOS devices based on two-dimensional materials. Nature Electronics. 4(2). 98–108. 268 indexed citations breakdown →
11.
Cheng, Bojun, Alexandros Emboras, Ueli Koch, et al.. (2021). Threshold Switching Enabled Sub-pW-Leakage, Hysteresis-Free Circuits. IEEE Transactions on Electron Devices. 68(6). 3112–3118. 2 indexed citations
12.
Ducry, Fabian, et al.. (2020). Electro-thermal transport in disordered nanostructures: a modeling perspective. Nanoscale Advances. 2(7). 2648–2667. 9 indexed citations
13.
Ducry, Fabian, Mohammad Hossein Bani-Hashemian, & Mathieu Luisier. (2020). Hybrid Mode-Space–Real-Space Approximation for First-Principles Quantum Transport Simulation of Inhomogeneous Devices. Physical Review Applied. 13(4). 11 indexed citations
14.
Emboras, Alexandros, Alessandro Alabastri, Ping Ma, et al.. (2020). Opto-electronic memristors: Prospects and challenges in neuromorphic computing. Applied Physics Letters. 117(23). 51 indexed citations
15.
Cheng, Bojun, Alexandros Emboras, Fabian Ducry, et al.. (2020). Ultra-steep-slope transistor enabled by an atomic memristive switch. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 88–88. 1 indexed citations
16.
Cheng, Bojun, Alexandros Emboras, Yannick Salamin, et al.. (2019). Ultra compact electrochemical metallization cells offering reproducible atomic scale memristive switching. Communications Physics. 2(1). 41 indexed citations
17.
Andermatt, Samuel, Mohammad Hossein Bani-Hashemian, Fabian Ducry, et al.. (2018). Microcanonical RT-TDDFT simulations of realistically extended devices. The Journal of Chemical Physics. 149(12). 124701–124701. 3 indexed citations
18.
Emboras, Alexandros, Alessandro Alabastri, Fabian Ducry, et al.. (2018). Atomic Scale Photodetection Enabled by a Memristive Junction. ACS Nano. 12(7). 6706–6713. 35 indexed citations
19.
Haffner, Christian, Wolfgang Heni, Yuriy Fedoryshyn, et al.. (2015). All-plasmonic Mach–Zehnder modulator enabling optical high-speed communication at the microscale. Nature Photonics. 9(8). 525–528. 426 indexed citations breakdown →
20.
Haffner, Christian, Fabian Ducry, Manfred Kohl, et al.. (2014). High-speed plasmonic Mach-Zehnder modulator in a waveguide. 1–3. 11 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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