Stefan Scholze

742 total citations
32 papers, 416 citations indexed

About

Stefan Scholze is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Stefan Scholze has authored 32 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 11 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Stefan Scholze's work include Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (11 papers) and Neural dynamics and brain function (5 papers). Stefan Scholze is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (11 papers) and Neural dynamics and brain function (5 papers). Stefan Scholze collaborates with scholars based in Germany, United Kingdom and Switzerland. Stefan Scholze's co-authors include Christian Mayr, Sebastian Höppner, Johannes Partzsch, René Schüffny, Georg Ellguth, Marko Noack, Stefan Schiefer, Holger Eisenreich, Stephan Hartmann and Dennis Walter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Neuroscience and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Stefan Scholze

31 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Scholze Germany 12 345 166 143 83 46 32 416
Hisham Abdalla United States 9 417 1.2× 240 1.4× 121 0.8× 100 1.2× 28 0.6× 20 523
Stephen Brink United States 11 374 1.1× 123 0.7× 143 1.0× 93 1.1× 133 2.9× 19 430
Stephen Nease United States 9 329 1.0× 94 0.6× 109 0.8× 105 1.3× 98 2.1× 15 369
Shubha Ramakrishnan United States 11 482 1.4× 152 0.9× 147 1.0× 123 1.5× 185 4.0× 17 564
Charlotte Frenkel Belgium 10 375 1.1× 91 0.5× 143 1.0× 133 1.6× 75 1.6× 32 489
Thomas Jacob Koickal United Kingdom 11 300 0.9× 111 0.7× 106 0.7× 55 0.7× 164 3.6× 25 478
R. Serrano-Gotarredona Spain 9 572 1.7× 318 1.9× 255 1.8× 75 0.9× 66 1.4× 18 612
Jan Stuijt Netherlands 10 246 0.7× 81 0.5× 65 0.5× 57 0.7× 54 1.2× 21 293
Rajkumar Kubendran United States 9 723 2.1× 212 1.3× 101 0.7× 146 1.8× 73 1.6× 26 808
Roberto Guerrieri Italy 12 226 0.7× 71 0.4× 74 0.5× 33 0.4× 129 2.8× 24 410

Countries citing papers authored by Stefan Scholze

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Scholze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Scholze

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Scholze. A scholar is included among the top collaborators of Stefan Scholze 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 Scholze. Stefan Scholze 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.
Rostami, Ali, Stefan Scholze, M. Berthel, et al.. (2025). NLU: An Adaptive, Small-Footprint, Low-Power Neural Learning Unit for Edge and IoT Applications. SHILAP Revista de lepidopterología. 6. 85–99.
2.
Guo, Liyuan, Stefan Scholze, M. Berthel, et al.. (2024). 68-channel neural signal processing system-on-chip with integrated feature extraction, compression, and hardware accelerators for neuroprosthetics in 22 nm FDSOI. Frontiers in Neuroscience. 18. 1432750–1432750. 3 indexed citations
3.
Henker, Stephan, et al.. (2023). A 3.3V Saturation-Aware Neurostimulator with Reset Functionality in 22 nm FDSOI. 65. 1–5. 1 indexed citations
4.
Guo, Liyuan, et al.. (2023). A Low-Power Hardware Accelerator of MFCC Extraction for Keyword Spotting in 22nm FDSOI. 1–5. 1 indexed citations
5.
Scholze, Stefan, et al.. (2023). A RISC-V MCU with adaptive reverse body bias and ultra-low-power retention mode in 22 nm FD-SOI. 67–68. 2 indexed citations
6.
Gonzalez, Hector A., Bernhard Vogginger, Chen Liu, et al.. (2023). A 12-ADC 25-Core Smart MPSoC Using ABB in 22FDX for 77GHz MIMO Radars at 52.6mW Average Power. 1–2. 1 indexed citations
7.
Gonzalez, Hector A., Chen Liu, Bernhard Vogginger, et al.. (2022). Efficient DBSCAN Implementation in a Multi-core DSP for FMCW Radars. 1–6. 2 indexed citations
8.
Wittig, Robert M., et al.. (2022). A Random Linear Network Coding Platform MPSoC Designed in 22nm FDSOI. 217–222. 2 indexed citations
9.
Partzsch, Johannes, Chen Liu, Liyuan Guo, et al.. (2022). ZEN: A flexible energy-efficient hardware classifier exploiting temporal sparsity in ECG data. 214–217. 6 indexed citations
10.
Gonzalez, Hector A., Chen Liu, Bernhard Vogginger, et al.. (2021). Ultra-High Compression of Twiddle Factor ROMs in Multi-Core DSP for FMCW Radars. 3. 1–5. 4 indexed citations
11.
Höppner, Sebastian, Bernhard Vogginger, Stefan Scholze, et al.. (2019). Dynamic Power Management for Neuromorphic Many-Core Systems. IEEE Transactions on Circuits and Systems I Regular Papers. 66(8). 2973–2986. 15 indexed citations
12.
Scholze, Stefan, Sebastian Höppner, Christian Mayr, et al.. (2017). Application-specific architectures for energy-efficient database query processing and optimization. Microprocessors and Microsystems. 55. 119–130. 4 indexed citations
13.
Höppner, Sebastian, Bernhard Vogginger, Johannes Partzsch, et al.. (2017). Dynamic voltage and frequency scaling for neuromorphic many-core systems. Research Explorer (The University of Manchester). 1–4. 10 indexed citations
14.
Noack, Marko, et al.. (2015). Switched-capacitor realization of presynaptic short-term-plasticity and stop-learning synapses in 28 nm CMOS. Frontiers in Neuroscience. 9. 10–10. 28 indexed citations
15.
Mayr, Christian, Johannes Partzsch, Marko Noack, et al.. (2015). A Biological-Realtime Neuromorphic System in 28 nm CMOS Using Low-Leakage Switched Capacitor Circuits. IEEE Transactions on Biomedical Circuits and Systems. 10(1). 243–254. 73 indexed citations
16.
Scholze, Stefan. (2011). VLSI implementation of a 2.8 Gevent/s packet-based AER interface with routing and event sorting functionality. Frontiers in Neuroscience. 5. 117–117. 36 indexed citations
17.
Weißmantel, Steffen, et al.. (2011). Microstructuring of Steel and Hard Metal using Femtosecond Laser Pulses. Physics Procedia. 12. 60–66. 16 indexed citations
18.
Scholze, Stefan, Holger Eisenreich, Sebastian Höppner, et al.. (2011). A 32 GBit/s communication SoC for a waferscale neuromorphic system. Integration. 45(1). 61–75. 30 indexed citations
19.
Mayr, Christian, et al.. (2010). Aliasing-free variable gain Delta Sigma Modulator for use in an analog frontend. International Conference Mixed Design of Integrated Circuits and Systems. 195–199. 1 indexed citations
20.
Scholze, Stefan, Stephan Henker, Johannes Partzsch, Christian Mayr, & René Schüffny. (2010). Optimized queue based communication in VLSI using a weakly ordered binary heap. International Conference Mixed Design of Integrated Circuits and Systems. 316–320. 5 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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