Sebastian Höppner

1.3k total citations
64 papers, 792 citations indexed

About

Sebastian Höppner is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Sebastian Höppner has authored 64 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 12 papers in Biomedical Engineering. Recurrent topics in Sebastian Höppner's work include Low-power high-performance VLSI design (17 papers), Advanced Memory and Neural Computing (15 papers) and Advancements in PLL and VCO Technologies (13 papers). Sebastian Höppner is often cited by papers focused on Low-power high-performance VLSI design (17 papers), Advanced Memory and Neural Computing (15 papers) and Advancements in PLL and VCO Technologies (13 papers). Sebastian Höppner collaborates with scholars based in Germany, United Kingdom and Switzerland. Sebastian Höppner's co-authors include René Schüffny, Georg Ellguth, Christian Mayr, Holger Eisenreich, Wilhelm Schänzer, Mario Thevis, Stefan Scholze, Johannes Partzsch, Dennis Walter and Andreas Thomas and has published in prestigious journals such as PLoS ONE, IEEE Journal of Solid-State Circuits and Analytical and Bioanalytical Chemistry.

In The Last Decade

Sebastian Höppner

61 papers receiving 765 citations

Peers

Sebastian Höppner

EEE

CMN

EDM

Junqing Sun China

Fernando Corinto Italy

Valeriu Beiu United Arab Emirates

Ahmet Şamil Demirkol Germany

Yoshihiro Ueda Japan

Josep L. Rosselló Spain

Youngmin Park South Korea

Karlheinz Ochs Germany

S. Usui Japan

Yandan Wang China

Junqing Sun China

Sebastian Höppner

79 ×0.2

EEE

46 ×0.3

231 ×1.6

CMN

5 ×0.0

EDM

49 ×0.5

Citations per year, relative to Sebastian Höppner Sebastian Höppner (= 1×) peers Junqing Sun

Countries citing papers authored by Sebastian Höppner

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Höppner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Höppner

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

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

Henker, Stephan, et al.. (2023). A 3.3V Saturation-Aware Neurostimulator with Reset Functionality in 22 nm FDSOI. 65. 1–5. 1 indexed citations

Höppner, Sebastian, et al.. (2023). Power Minimization in Neural Recording ΔΣ Modulators by Adaptive Back-Gate Voltage Tuning. IEEE Solid-State Circuits Letters. 6. 145–148. 1 indexed citations

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

Wittig, Robert M., et al.. (2022). A Random Linear Network Coding Platform MPSoC Designed in 22nm FDSOI. 217–222. 2 indexed citations

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

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

Liu, Chen, Guillaume Bellec, Bernhard Vogginger, et al.. (2018). Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype. Frontiers in Neuroscience. 12(4). 70–71. 32 indexed citations

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

10.

Antwerpen, Markus, Karola Prior, Alexander Mellmann, et al.. (2015). Rapid High Resolution Genotyping of Francisella tularensis by Whole Genome Sequence Comparison of Annotated Genes (“MLST+”). PLoS ONE. 10(4). e0123298–e0123298. 35 indexed citations

11.

Höppner, Sebastian, Dennis Walter, Thomas Hocker, et al.. (2015). An Energy Efficient Multi-Gbit/s NoC Transceiver Architecture With Combined AC/DC Drivers and Stoppable Clocking in 65 nm and 28 nm CMOS. IEEE Journal of Solid-State Circuits. 50(3). 749–762. 17 indexed citations

12.

Höppner, Sebastian, et al.. (2014). A 10 bit 16 MS/s redundant SAR ADC with flexible window function for a digitally controlled DC-DC converter in 28 nm CMOS. 1. 1–4. 1 indexed citations

13.

Höppner, Sebastian, et al.. (2014). An energy efficient multi-bit TSV transmitter using capacitive coupling. 650–653.

14.

Höppner, Sebastian, Philippe Delahaut, Wilhelm Schänzer, & Mario Thevis. (2013). Mass spectrometric studies on the in vivo metabolism and excretion of SIRT1 activating drugs in rat urine, dried blood spots, and plasma samples for doping control purposes. Journal of Pharmaceutical and Biomedical Analysis. 88. 649–659. 20 indexed citations

15.

Höppner, Sebastian, et al.. (2013). A Fast-Locking ADPLL With Instantaneous Restart Capability in 28-nm CMOS Technology. IEEE Transactions on Circuits & Systems II Express Briefs. 60(11). 741–745. 36 indexed citations

16.

Höppner, Sebastian, Stephan Henker, Holger Eisenreich, & René Schüffny. (2011). An open-loop clock generator for fast frequency scaling in 65nm CMOS technology. International Conference Mixed Design of Integrated Circuits and Systems. 264–269. 8 indexed citations

17.

Thomas, Andreas, Sebastian Höppner, Hans Geyer, et al.. (2011). Determination of growth hormone releasing peptides (GHRP) and their major metabolites in human urine for doping controls by means of liquid chromatography mass spectrometry. Analytical and Bioanalytical Chemistry. 401(2). 507–516. 82 indexed citations

18.

Höppner, Sebastian, et al.. (2011). Strategies for initial sizing and operating point analysis of analog circuits. 1–3. 1 indexed citations

19.

Höppner, Sebastian, Dennis Walter, Georg Ellguth, & René Schüffny. (2011). Mismatch characterization of high-speed NoC links using asynchronous sub-sampling. 112–115. 2 indexed citations

20.

Höppner, Sebastian, et al.. (2009). A low-power, robust multi-modulus frequency divider for automotive radio applications. International Conference Mixed Design of Integrated Circuits and Systems. 205–209. 2 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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