Andreas Grübl
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Advanced Memory and Neural Computing 8
- Ferroelectric and Negative Capacitance Devices 3
- CCD and CMOS Imaging Sensors 1
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- Neural Networks and Reservoir Computing 5
- Neural Networks and Applications 2
- Computational Physics and Python Applications 1
- Co-authors
- Johannes Schemmel (9 shared papers)Karlheinz Meier (7 shared papers)Paul Müller (2 shared papers)Eric Müller (3 shared papers)Mihai A. Petrovici (2 shared papers)Yannik Stradmann (2 shared papers)Christian Pehle (2 shared papers)Andreas Hartel (2 shared papers)
- Journals
- Frontiers in Neuroscience (2 papers)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)The 2006 IEEE International Joint Conference on Neural Network Proceedings (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Andreas Grübl
9 papers receiving 414 citations
Peers
Comparison fields: 5 of 39
- Cognitive Neuroscience 217
- Cellular and Molecular Neuroscience 175
- Electrical and Electronic Engineering 386
- Artificial Intelligence 155
- Sensory Systems 6
Countries citing papers authored by Andreas Grübl
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
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 23 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 113 | |
| 2 | 2006 | 77 | |
| 3 | 2019 | 75 | |
| 4 | 2018 | 69 | |
| 5 | A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model | 2010 | 43 |
| 6 | 2012 | 40 | |
| 7 | 2017 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 |
About Andreas Grübl
Andreas Grübl is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 9 papers that have together received 424 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neural Networks and Reservoir Computing (5 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Neural Networks and Applications (2 papers), CCD and CMOS Imaging Sensors (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (217 citations), Cellular and Molecular Neuroscience (175 citations), Electrical and Electronic Engineering (386 citations), Artificial Intelligence (155 citations) and Sensory Systems (6 citations). Andreas Grübl has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Johannes Schemmel, Karlheinz Meier, Paul Müller, Eric Müller, Mihai A. Petrovici, Yannik Stradmann, Christian Pehle, Andreas Hartel, Thomas Pfeil and Michael Schmuker. Their work appears in journals such as Frontiers in Neuroscience, IEEE Transactions on Circuits and Systems I Regular Papers, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft), The 2006 IEEE International Joint Conference on Neural Network Proceedings and Neural Information Processing Systems.
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.