Andreas Grübl

864 total citations
9 papers, 417 citations indexed

About

Andreas Grübl is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Andreas Grübl has authored 9 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 4 papers in Cognitive Neuroscience. Recurrent topics in Andreas Grübl's work include Advanced Memory and Neural Computing (8 papers), Neural Networks and Reservoir Computing (5 papers) and Neural dynamics and brain function (4 papers). Andreas Grübl is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Neural Networks and Reservoir Computing (5 papers) and Neural dynamics and brain function (4 papers). Andreas Grübl collaborates with scholars based in Germany, Switzerland and United States. Andreas Grübl's co-authors include Karlheinz Meier, Johannes Schemmel, Paul Müller, Mihai A. Petrovici, Eric Müller, Yannik Stradmann, Andreas Hartel, Christian Pehle, Michael Schmuker and Thomas Pfeil and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Neuroscience and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Andreas Grübl

9 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Grübl Germany	6	383	219	175	153	11	9	417
Eric Müller Germany	8	341 0.9×	188 0.9×	128 0.7×	150 1.0×	14 1.3×	16	378
Vittorio Dante Italy	11	378 1.0×	305 1.4×	239 1.4×	92 0.6×	21 1.9×	17	464
Brendan Glackin United Kingdom	7	228 0.6×	175 0.8×	111 0.6×	84 0.5×	9 0.8×	11	263
Georgios Detorakis United States	9	302 0.8×	220 1.0×	114 0.7×	144 0.9×	12 1.1×	13	390
Joel Hochstetter Australia	9	316 0.8×	206 0.9×	93 0.5×	190 1.2×	17 1.5×	12	352
Kristofor D. Carlson United States	8	202 0.5×	193 0.9×	89 0.5×	122 0.8×	9 0.8×	15	339
Matthias Oster Switzerland	10	434 1.1×	256 1.2×	240 1.4×	93 0.6×	19 1.7×	13	504
Runchun Wang Australia	10	256 0.7×	160 0.7×	111 0.6×	78 0.5×	15 1.4×	28	299
Christian Pehle Germany	5	272 0.7×	131 0.6×	103 0.6×	126 0.8×	9 0.8×	7	301
Eric Hunsberger Canada	3	269 0.7×	235 1.1×	85 0.5×	127 0.8×	6 0.5×	5	370

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-authorship network of co-authors of Andreas Grübl

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

All Works

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9 of 9 papers shown

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

Billaudelle, Sebastian, et al.. (2023). A flexible column parallel successive-approximation ADC for hybrid neuromorphic computing. 157–160. 1 indexed citations

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

Stradmann, Yannik, Paul Müller, Christian Pehle, et al.. (2018). An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture. IEEE Transactions on Circuits and Systems I Regular Papers. 65(12). 4299–4312. 68 indexed citations

Zoschke, Kai, et al.. (2017). Full wafer redistribution and wafer embedding as key technologies for a multi-scale neuromorphic hardware cluster. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8. 5 indexed citations

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

Schemmel, Johannes, Andreas Grübl, Stephan Hartmann, et al.. (2012). Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system. 702–702. 39 indexed citations

Grübl, Andreas, et al.. (2010). A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model. Neural Information Processing Systems. 23. 1642–1650. 43 indexed citations

Schemmel, Johannes, et al.. (2006). Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 1–6. 77 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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