René Schüffny
Impact in
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- Neuroscience and Neural Engineering
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
- Advancements in PLL and VCO Technologies
- Low-power high-performance VLSI design
Papers in
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- Advanced Memory and Neural Computing 35
- Low-power high-performance VLSI design 16
- CCD and CMOS Imaging Sensors 16
- Advancements in PLL and VCO Technologies 15
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- Neural dynamics and brain function 22
- Co-authors
- Christian Mayr (37 shared papers)Johannes Partzsch (28 shared papers)Sebastian Höppner (26 shared papers)Stephan Henker (17 shared papers)Georg Ellguth (16 shared papers)Holger Eisenreich (15 shared papers)Stefan Scholze (11 shared papers)Marko Noack (7 shared papers)
- Journals
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2 papers)IEEE Transactions on Circuits & Systems II Express Briefs (2 papers)IEEE Journal of Solid-State Circuits (2 papers)Neurocomputing (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
René Schüffny
85 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 51
- Cellular and Molecular Neuroscience 324
- Electrical and Electronic Engineering 936
- Cognitive Neuroscience 250
- Hardware and Architecture 85
- Polymers and Plastics 66
Countries citing papers authored by René Schüffny
This map shows the geographic impact of René Schüffny'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 René Schüffny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René Schüffny more than expected).
Fields of papers citing papers by René Schüffny
This network shows the impact of papers produced by René Schüffny. 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 René Schüffny. The network helps show where René Schüffny may publish in the future.
Co-authors
The 25 scholars most cited alongside René Schüffny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 118 | |
| 2 | 2015 | 76 | |
| 3 | 2013 | 50 | |
| 4 | 2012 | 40 | |
| 5 | 2013 | 36 | |
| 6 | 2011 | 35 | |
| 7 | 2014 | 34 | |
| 8 | 2016 | 34 | |
| 9 | 2011 | 30 | |
| 10 | 2012 | 30 | |
| 11 | 2002 | 28 | |
| 12 | Modelling of capacitor mismatch and non-linearity effects ini charge redistribution SAR ADCs | 2010 | 28 |
| 13 | 2012 | 26 | |
| 14 | 2003 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2010 | 20 | |
| 17 | 2014 | 20 | |
| 18 | 2012 | 19 | |
| 19 | 2015 | 17 | |
| 20 | 2010 | 17 |
About René Schüffny
René Schüffny is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Biomedical Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (35 papers), Neural dynamics and brain function (22 papers), Analog and Mixed-Signal Circuit Design (20 papers), Low-power high-performance VLSI design (16 papers), CCD and CMOS Imaging Sensors (16 papers), Neuroscience and Neural Engineering (15 papers), Advancements in PLL and VCO Technologies (15 papers) and Interconnection Networks and Systems (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (324 citations), Electrical and Electronic Engineering (936 citations), Cognitive Neuroscience (250 citations), Hardware and Architecture (85 citations) and Polymers and Plastics (66 citations). René Schüffny has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Christian Mayr, Johannes Partzsch, Sebastian Höppner, Stephan Henker, Georg Ellguth, Holger Eisenreich, Stefan Scholze, Marko Noack, Heidemarie Schmidt and Nan Du. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Journal of Solid-State Circuits, Neurocomputing and Advanced Functional Materials.
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.