Eric Müller

885 total citations
16 papers, 378 citations indexed

About

Eric Müller is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Eric Müller has authored 16 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 7 papers in Cognitive Neuroscience. Recurrent topics in Eric Müller's work include Advanced Memory and Neural Computing (14 papers), Neural Networks and Reservoir Computing (8 papers) and Neural dynamics and brain function (7 papers). Eric Müller is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Neural Networks and Reservoir Computing (8 papers) and Neural dynamics and brain function (7 papers). Eric Müller collaborates with scholars based in Germany, Switzerland and Spain. Eric Müller's co-authors include Johannes Schemmel, Sebastian Billaudelle, Yannik Stradmann, Karlheinz Meier, Jakob Kaiser, Christian Pehle, Andreas Grübl, Mihai A. Petrovici, Benjamin Cramer and Paul Müller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience and Journal of Lightwave Technology.

In The Last Decade

Eric Müller

14 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Müller Germany 8 341 188 150 128 14 16 378
Andreas Grübl Germany 6 383 1.1× 219 1.2× 153 1.0× 175 1.4× 11 0.8× 9 417
Filip Ponulak Poland 4 316 0.9× 234 1.2× 172 1.1× 93 0.7× 16 1.1× 7 414
Gregor Lenz France 5 274 0.8× 134 0.7× 126 0.8× 73 0.6× 15 1.1× 12 361
Matthias Oster Switzerland 10 434 1.3× 256 1.4× 93 0.6× 240 1.9× 19 1.4× 13 504
Vittorio Dante Italy 11 378 1.1× 305 1.6× 92 0.6× 239 1.9× 21 1.5× 17 464
David Kappel Germany 8 274 0.8× 264 1.4× 141 0.9× 130 1.0× 32 2.3× 21 433
Brendan Glackin United Kingdom 7 228 0.7× 175 0.9× 84 0.6× 111 0.9× 9 0.6× 11 263
Kshitij Dhoble New Zealand 4 232 0.7× 200 1.1× 126 0.8× 45 0.4× 13 0.9× 4 306
Nuttapod Nuntalid Switzerland 2 224 0.7× 193 1.0× 120 0.8× 44 0.3× 13 0.9× 2 296
Cory Merkel United States 12 366 1.1× 123 0.7× 202 1.3× 108 0.8× 31 2.2× 47 439

Countries citing papers authored by Eric Müller

Since Specialization
Citations

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

Fields of papers citing papers by Eric Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Müller. A scholar is included among the top collaborators of Eric Müller 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 Eric Müller. Eric Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
2.
Böcherer, Georg, Florian Strasser, Eric Müller, et al.. (2023). Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication. Journal of Lightwave Technology. 41(11). 3424–3431. 11 indexed citations
3.
Cramer, Benjamin, Sebastian Billaudelle, Eric Müller, et al.. (2023). Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware. Physical Review Research. 5(3). 4 indexed citations
4.
Grübl, Andreas, et al.. (2023). From clean room to machine room: commissioning of the first-generation BrainScaleS wafer-scale neuromorphic system. SHILAP Revista de lepidopterología. 3(3). 34013–34013. 1 indexed citations
5.
Müller, Eric, et al.. (2023). Simulation-based inference for model parameterization on analog neuromorphic hardware. SHILAP Revista de lepidopterología. 3(4). 44006–44006. 2 indexed citations
6.
Pehle, Christian, et al.. (2023). hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2. 57–62. 4 indexed citations
7.
Pehle, Christian, Sebastian Billaudelle, Benjamin Cramer, et al.. (2022). The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity. Frontiers in Neuroscience. 16. 795876–795876. 115 indexed citations
8.
Böcherer, Georg, et al.. (2022). Spiking Neural Network Equalization for IM/DD Optical Communication. SpTu1J.2–SpTu1J.2. 3 indexed citations
9.
Stradmann, Yannik, et al.. (2022). Demonstrating Analog Inference on the BrainScaleS-2 Mobile System. SHILAP Revista de lepidopterología. 3. 252–262. 8 indexed citations
10.
Kaiser, Jakob, Sebastian Billaudelle, Eric Müller, et al.. (2021). Emulating Dendritic Computing Paradigms on Analog Neuromorphic Hardware. Neuroscience. 489. 290–300. 27 indexed citations
11.
Kungl, Ákos F., Eric Müller, Andreas Hartel, et al.. (2019). Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. Frontiers in Neuroscience. 13. 260–260. 73 indexed citations
12.
Pfeil, Thomas, Andreas Grübl, Eric Müller, et al.. (2013). Six Networks on a Universal Neuromorphic Computing Substrate. Frontiers in Neuroscience. 7. 11–11. 110 indexed citations
13.
14.
Bill, Johannes, et al.. (2010). Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system. 3. 2784–8787. 9 indexed citations
15.
Wendt, Karsten, et al.. (2010). A Software Framework for Mapping Neural Networks to a Wafer-scale Neuromorphic Hardware System. 43–52. 7 indexed citations
16.
Simon, François, et al.. (2002). Design of a fault tolerant 100 Gbits solid-state mass memory for satellites. 281–286. 4 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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