René Schüffny

1.6k total citations
93 papers, 1.0k citations indexed

About

René Schüffny is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, René Schüffny has authored 93 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Electrical and Electronic Engineering, 22 papers in Cognitive Neuroscience and 21 papers in Biomedical Engineering. Recurrent topics in René Schüffny's work include Advanced Memory and Neural Computing (35 papers), Neural dynamics and brain function (22 papers) and Analog and Mixed-Signal Circuit Design (20 papers). René Schüffny is often cited by papers focused on Advanced Memory and Neural Computing (35 papers), Neural dynamics and brain function (22 papers) and Analog and Mixed-Signal Circuit Design (20 papers). René Schüffny collaborates with scholars based in Germany, United Kingdom and China. René Schüffny's co-authors include Christian Mayr, Johannes Partzsch, Sebastian Höppner, Stephan Henker, Georg Ellguth, Holger Eisenreich, Stefan Scholze, Yao Shuai, Marko Noack and Nan Du and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Advanced Functional Materials.

In The Last Decade

René Schüffny

85 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
René Schüffny Germany 18 927 322 246 177 118 93 1.0k
Greg Snider United States 14 989 1.1× 326 1.0× 191 0.8× 115 0.6× 178 1.5× 26 1.2k
Kyeong‐Sik Min South Korea 20 1.2k 1.3× 405 1.3× 124 0.5× 110 0.6× 91 0.8× 132 1.3k
Kyoung-Rok Cho South Korea 16 842 0.9× 365 1.1× 151 0.6× 103 0.6× 83 0.7× 102 1.1k
Bai‐Sun Kong South Korea 17 1.3k 1.4× 196 0.6× 140 0.6× 331 1.9× 219 1.9× 93 1.4k
Christian Mayr Germany 21 1.3k 1.4× 642 2.0× 528 2.1× 122 0.7× 242 2.1× 131 1.5k
Narayan Srinivasa United States 12 1.0k 1.1× 557 1.7× 389 1.6× 70 0.4× 179 1.5× 39 1.2k
Byong‐Deok Choi South Korea 17 642 0.7× 90 0.3× 195 0.8× 446 2.5× 61 0.5× 61 996
Rajkumar Kubendran United States 9 723 0.8× 212 0.7× 101 0.4× 73 0.4× 146 1.2× 26 808
Kyungmin Kim South Korea 14 670 0.7× 276 0.9× 118 0.5× 37 0.2× 97 0.8× 48 897
Ralf Brederlow Germany 21 1.4k 1.5× 465 1.4× 213 0.9× 548 3.1× 38 0.3× 96 1.7k

Countries citing papers authored by René Schüffny

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of René Schüffny

This figure shows the co-authorship network connecting the top 25 collaborators of René Schüffny. A scholar is included among the top collaborators of René Schüffny 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 René Schüffny. René Schüffny 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.
Partzsch, Johannes & René Schüffny. (2015). Network-driven design principles for neuromorphic systems. Frontiers in Neuroscience. 9. 386–386. 1 indexed citations
2.
Du, Nan, Yao Shuai, Danilo Bürger, et al.. (2014). Novel implementation of memristive systems for data encryption and obfuscation. Journal of Applied Physics. 115(12). 10 indexed citations
3.
Petrovici, Mihai A., Bernhard Vogginger, Paul Müller, et al.. (2014). Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms. PLoS ONE. 9(10). e108590–e108590. 34 indexed citations
4.
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
5.
Partzsch, Johannes & René Schüffny. (2012). Developing structural constraints on connectivity for biologically embedded neural networks. Biological Cybernetics. 106(3). 191–200. 5 indexed citations
6.
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
7.
Henker, Stephan, Johannes Partzsch, & René Schüffny. (2011). Accuracy evaluation of numerical methods used in state-of-the-art simulators for spiking neural networks. Journal of Computational Neuroscience. 32(2). 309–326. 14 indexed citations
8.
Partzsch, Johannes & René Schüffny. (2011). Analyzing the Scaling of Connectivity in Neuromorphic Hardware and in Models of Neural Networks. IEEE Transactions on Neural Networks. 22(6). 919–935. 35 indexed citations
9.
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
10.
Noack, Marko, Johannes Partzsch, Christian Mayr, Stephan Henker, & René Schüffny. (2010). Biology-derived synaptic dynamics and optimized system architecture for neuromorphic hardware. International Conference Mixed Design of Integrated Circuits and Systems. 219–224. 8 indexed citations
11.
Henker, Stephan, et al.. (2010). Modelling of capacitor mismatch and non-linearity effects ini charge redistribution SAR ADCs. International Conference Mixed Design of Integrated Circuits and Systems. 300–305. 28 indexed citations
12.
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
13.
Mayr, Christian, Johannes Partzsch, & René Schüffny. (2010). A critique of BCM behavior verification for STDP-type plasticity models. The European Symposium on Artificial Neural Networks. 1 indexed citations
14.
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
15.
Mayr, Christian, Johannes Partzsch, & René Schüffny. (2009). On the Relation between Bursts and Dynamic Synapse Properties: A Modulation‐Based Ansatz. Computational Intelligence and Neuroscience. 2009(1). 658474–658474. 1 indexed citations
16.
Wendt, Karsten, et al.. (2008). A graph theoretical approach for a multistep mapping software for the FACETS project. 189–194. 7 indexed citations
17.
Franz, Martin & René Schüffny. (2003). Segmentation of Blood Vessels in Subtraction Angiographic Images. 215–224. 2 indexed citations
18.
Henker, Stephan, et al.. (2003). Concept of Color Correction on Multi-Channel CMOS Sensors.. 20(7). 771–780.
19.
Ramacher, Ulrich, et al.. (2001). A 53-GOPS programmable vision processor for processing, coding-decoding and synthesizing of images. European Solid-State Circuits Conference. 133–136. 7 indexed citations
20.
Schüffny, René, et al.. (2000). Robust Implementation and Statistical Modeling of a VI-Converter. 83–88.

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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