Andreas Grübl

21 papers receiving 686 citations

Peers

Andreas Grübl
Comparison fields: 5 of 45
  • Cognitive Neuroscience 345
  • Cellular and Molecular Neuroscience 263
  • Electrical and Electronic Engineering 635
  • Artificial Intelligence 250
  • Statistical and Nonlinear Physics 18
Replace Eric Müller with:
Eric Müller Germany
Vittorio Dante Italy
Matthias Oster Switzerland
Ben Varkey Benjamin United States
David Kappel Germany
Thomas Pfeil Germany
Bruno U. Pedroni United States
Johannes Partzsch Germany
Swadesh Choudhary United States
Jean-Marie Bussat United States
Andreas Grübl relative to Eric Müller Germany Eric Müller's profile →
Citations per field
00.5×1.6×
Eric Müller · 1×
Citations per year

Countries citing papers authored by Andreas Grübl

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Grübl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Grübl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Grübl Line = papers co-authored together Andreas Grübl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013132
2
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
2017108
3 201992
4 200689
5 201880
6
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
201050
7 201246
8 201923
9 202218
10
Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study
201616
11 201713
12 20079
13 20178
14 20205
15 20075
16 20223
17 20232
18 20172
19 20231
20 20221

About Andreas Grübl

Andreas Grübl is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 22 papers that have together received 704 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (9 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neural Networks and Reservoir Computing (8 papers), Neural Networks and Applications (3 papers), Photoreceptor and optogenetics research (2 papers) and CCD and CMOS Imaging Sensors (2 papers). The work is most often cited by research in Cognitive Neuroscience (345 citations), Cellular and Molecular Neuroscience (263 citations), Electrical and Electronic Engineering (635 citations), Artificial Intelligence (250 citations) and Statistical and Nonlinear Physics (18 citations). Andreas Grübl has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Johannes Schemmel, Karlheinz Meier, Paul Friedrich Müller, Mihai Alexandru Petrovici, Eric Müller, Christian-Gernot Pehle, Yannik Stradmann, Thomas Pfeil, Andreas J. W. Hartel and Daniel Brüderle. Their work appears in journals such as Frontiers in Neuroscience, Proceedings of the National Academy of Sciences, IEEE Transactions on Circuits and Systems I Regular Papers, Neurocomputing and Lecture notes in computer science.

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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