Sebastian Höppner
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Biomedical Engineering
- Co-authors
- René SchüffnyGeorg EllguthChristian MayrHolger EisenreichWilhelm SchänzerMario ThevisStefan ScholzeJohannes Partzsch
- Topics
- Low-power high-performance VLSI design (17 papers)Advanced Memory and Neural Computing (15 papers)Advancements in PLL and VCO Technologies (13 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Sebastian Höppner
61 papers receiving 765 citations
Peers
Comparison fields: 5 of 87
- Electrical and Electronic Engineering 494
- Cognitive Neuroscience 151
- Cellular and Molecular Neuroscience 144
- Endocrinology, Diabetes and Metabolism 127
- Biomedical Engineering 96
Countries citing papers authored by Sebastian Höppner
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 32 | |
| 9 | 4 | |
| 10 | 35 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 20 | |
| 15 | 36 | |
| 16 | An open-loop clock generator for fast frequency scaling in 65nm CMOS technology | 8 |
| 17 | 82 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | A low-power, robust multi-modulus frequency divider for automotive radio applications | 2 |
About Sebastian Höppner
Sebastian Höppner is a scholar working on Hardware and Architecture, Geriatrics and Gerontology and Electrical and Electronic Engineering, having authored 64 papers that have together received 792 indexed citations. Recurring topics across this 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). The work is most often cited by research in Hardware and Architecture (68 citations), Electrical and Electronic Engineering (494 citations) and Cellular and Molecular Neuroscience (144 citations). Sebastian Höppner has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include René Schüffny, Georg Ellguth, Christian Mayr, Holger Eisenreich, Wilhelm Schänzer, Mario Thevis, Stefan Scholze, Johannes Partzsch, Dennis Walter and Andreas Thomas. Their work appears in journals such as PLoS ONE, IEEE Journal of Solid-State Circuits and Analytical and Bioanalytical Chemistry.
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.