Martin Ziegler

1.9k total citations
66 papers, 1.4k citations indexed

About

Martin Ziegler is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Martin Ziegler has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 30 papers in Cellular and Molecular Neuroscience and 16 papers in Cognitive Neuroscience. Recurrent topics in Martin Ziegler's work include Advanced Memory and Neural Computing (46 papers), Neuroscience and Neural Engineering (20 papers) and Ferroelectric and Negative Capacitance Devices (19 papers). Martin Ziegler is often cited by papers focused on Advanced Memory and Neural Computing (46 papers), Neuroscience and Neural Engineering (20 papers) and Ferroelectric and Negative Capacitance Devices (19 papers). Martin Ziegler collaborates with scholars based in Germany, China and South Korea. Martin Ziegler's co-authors include H. Kohlstedt, Mirko Hansen, Doo Seok Jeong, Rohit Soni, Inho Kim, Thorsten Bartsch, P. Meuffels, J. Kröger, Richard Berndt and A. Petraru and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Martin Ziegler

60 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Ziegler Germany	20	1.2k	575	325	244	143	66	1.4k
A. V. Emelyanov Russia	22	1.2k 1.1×	665 1.2×	306 0.9×	247 1.0×	107 0.7×	103	1.5k
Stefano Brivio Italy	22	1.1k 0.9×	455 0.8×	259 0.8×	407 1.7×	140 1.0×	49	1.5k
Alessandro Calderoni Italy	23	1.7k 1.5×	587 1.0×	289 0.9×	292 1.2×	52 0.4×	51	1.8k
Adnan Mehonić United Kingdom	20	2.1k 1.8×	808 1.4×	266 0.8×	332 1.4×	92 0.6×	53	2.2k
Mireia Bargalló González Spain	22	1.6k 1.4×	479 0.8×	117 0.4×	224 0.9×	84 0.6×	167	1.6k
Fabien Alibart France	22	2.0k 1.7×	980 1.7×	407 1.3×	345 1.4×	68 0.5×	63	2.2k
T. Hussain United States	12	1.0k 0.9×	372 0.6×	138 0.4×	119 0.5×	112 0.8×	42	1.1k
Sanghyeon Choi South Korea	15	1.0k 0.9×	438 0.8×	138 0.4×	144 0.6×	59 0.4×	28	1.2k
F. Jiménez-Molinos Spain	25	1.7k 1.5×	591 1.0×	162 0.5×	235 1.0×	51 0.4×	101	1.9k
Francesco Maria Puglisi Italy	26	2.4k 2.1×	484 0.8×	124 0.4×	589 2.4×	124 0.9×	123	2.6k

Countries citing papers authored by Martin Ziegler

Since Specialization

Citations

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

Fields of papers citing papers by Martin Ziegler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Ziegler

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Ziegler. A scholar is included among the top collaborators of Martin Ziegler 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 Martin Ziegler. Martin Ziegler 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

Spetzler, Benjamin, Vinod K. Sangwan, Mark C. Hersam, & Martin Ziegler. (2025). High-throughput numerical modeling of the tunable synaptic behavior in 2D MoS2 memristive devices. npj 2D Materials and Applications. 9(1). 1 indexed citations

Kups, Thomas, et al.. (2025). Analysis of RF magnetron sputtered MoS2 thin films for electronic application: Influence of the sputter power to film growth and composition. Vacuum. 241. 114629–114629.

Ivanov, Tzvetan, et al.. (2025). Bio-inspired acoustic MEMS sensor with tunable resonance frequency. Sensors and Actuators A Physical. 387. 116369–116369. 5 indexed citations

Lenk, Claudia, et al.. (2024). Bio-inspired, adaptive acoustic sensor: Sensing properties in dependence of feedback parameters. AIP conference proceedings. 3062. 40011–40011. 7 indexed citations

Lenk, Claudia, et al.. (2024). Emulation of Auditory Nerve Adaptation with Bio-Inspired Acoustic Sensor to Extract Sound Features. 128–132. 1 indexed citations

Nikiruy, K. E., T. Ivanov, Martin Ziegler, et al.. (2024). Next Generation Memristor Reservoir Computing. 912–917.

Lenk, Claudia, Philipp Hövel, Thomas Meurer, et al.. (2023). Neuromorphic acoustic sensing using an adaptive microelectromechanical cochlea with integrated feedback. Nature Electronics. 6(5). 370–380. 41 indexed citations

Kalläne, M., Christoph Schlueter, Yu. Matveyev, et al.. (2023). Trap‐Assisted Memristive Switching in HfO₂‐Based Devices Studied by In Situ Soft and Hard X‐Ray Photoelectron Spectroscopy. Advanced Electronic Materials. 9(6). 6 indexed citations

Ivanov, Tzvetan, et al.. (2021). Engineering Method for Tailoring Electrical Characteristics in TiN/TiOx/HfOx/Au Bi-Layer Oxide Memristive Devices. Frontiers in Nanotechnology. 3. 12 indexed citations

10.

Schwierz, Frank & Martin Ziegler. (2021). Six Decades of Research on 2D Materials: Progress, Dead Ends, and New Horizons. 1–4. 1 indexed citations

11.

Pérez, Eduardo, et al.. (2020). Analogue pattern recognition with stochastic switching binary CMOS-integrated memristive devices. Scientific Reports. 10(1). 14450–14450. 30 indexed citations

12.

Wenger, Christian, et al.. (2019). Inherent Stochastic Learning in CMOS-Integrated HfO₂ Arrays for Neuromorphic Computing. IEEE Electron Device Letters. 40(4). 639–642. 21 indexed citations

13.

Bartsch, Thorsten, et al.. (2018). A memristive plasticity model of voltage-based STDP suitable for recurrent bidirectional neural networks in the hippocampus. Scientific Reports. 8(1). 9367–9367. 16 indexed citations

14.

Ziegler, Martin, et al.. (2017). Memristive device based on a depletion-type SONOS field effect transistor. Semiconductor Science and Technology. 32(6). 06LT01–06LT01. 11 indexed citations

15.

Ziegler, Martin, Robert A. Gunther, & H. Kohlstedt. (2016). Complementary Floating Gate Transistors With Memristive Operation Mode. IEEE Electron Device Letters. 37(2). 186–189. 5 indexed citations

16.

Hansen, Mirko, Martin Ziegler, & H. Kohlstedt. (2016). Double barrier memristive devices for neuromorphic computing. 2. 1–8. 4 indexed citations

17.

Ziegler, Martin, et al.. (2015). A memristive spiking neuron with firing rate coding. Frontiers in Neuroscience. 9. 376–376. 50 indexed citations

18.

Ziegler, Martin, Karlheinz Ochs, Mirko Hansen, & H. Kohlstedt. (2013). An electronic implementation of amoeba anticipation. Applied Physics A. 114(2). 565–570. 12 indexed citations

19.

Gombert, Andreas, et al.. (2012). From a 32 m2 system with 90 CPV modules to a 105 m2 system with 12 CPV modules - Soitec's new CPV system CX-S530. AIP conference proceedings. 200–203. 5 indexed citations

20.

Ziegler, Martin. (1977). Efforts To Improve Estimates of State and Local Unemployment.. Monthly labor review. 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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