Matthias Ehrlich
Impact in
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- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neural Networks and Applications 4
- Statistical and Computational Modeling 1
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- Advanced Memory and Neural Computing 4
- Ferroelectric and Negative Capacitance Devices 1
- Co-authors
- René Schüffny (7 shared papers)Karsten Wendt (5 shared papers)Bernhard Vogginger (2 shared papers)Oliver Breitwieser (1 shared paper)Lyle Muller (1 shared paper)Johannes Schemmel (1 shared paper)Alain Destexhe (1 shared paper)Karlheinz Meier (1 shared paper)
- Journals
- Frontiers in Neuroinformatics (1 paper)PLANT PHYSIOLOGY (1 paper)PLoS ONE (1 paper)Qucosa - Monarch (Chemnitz University of Technology) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
In The Last Decade
Matthias Ehrlich
8 papers receiving 72 citations
Peers
Comparison fields: 5 of 23
- Cognitive Neuroscience 34
- Cellular and Molecular Neuroscience 27
- Electrical and Electronic Engineering 51
- Artificial Intelligence 22
- Plant Science 9
Countries citing papers authored by Matthias Ehrlich
This map shows the geographic impact of Matthias Ehrlich'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 Matthias Ehrlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Ehrlich more than expected).
Fields of papers citing papers by Matthias Ehrlich
This network shows the impact of papers produced by Matthias Ehrlich. 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 Matthias Ehrlich. The network helps show where Matthias Ehrlich may publish in the future.
Co-authors
The 23 scholars most cited alongside Matthias Ehrlich, 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 | 2014 | 34 | |
| 2 | 2019 | 17 | |
| 3 | A graph theoretical approach for a multistep mapping software for the FACETS project | 2008 | 7 |
| 4 | 2007 | 7 | |
| 5 | 2010 | 7 | |
| 6 | Abbildung komplexer, pulsierender, neuronaler Netzwerke auf spezielle Neuronale VLSI Hardware | 2007 | 2 |
| 7 | 2013 | 1 | |
| 8 | 2010 | 1 |
About Matthias Ehrlich
Matthias Ehrlich is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology and Cognitive Neuroscience, having authored 8 papers that have together received 76 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (2 papers), Advanced Scientific Research Methods (1 paper), Neuroscience and Neural Engineering (1 paper), Ferroelectric and Negative Capacitance Devices (1 paper), Advanced Database Systems and Queries (1 paper) and Statistical and Computational Modeling (1 paper). The work is most often cited by research in Cognitive Neuroscience (34 citations), Cellular and Molecular Neuroscience (27 citations), Electrical and Electronic Engineering (51 citations), Artificial Intelligence (22 citations) and Plant Science (9 citations). Matthias Ehrlich has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include René Schüffny, Karsten Wendt, Bernhard Vogginger, Oliver Breitwieser, Lyle Muller, Johannes Schemmel, Alain Destexhe, Karlheinz Meier, Paul Müller and Mikael Lundqvist. Their work appears in journals such as Frontiers in Neuroinformatics, PLANT PHYSIOLOGY, PLoS ONE, Qucosa - Monarch (Chemnitz University of Technology) and Zenodo (CERN European Organization for Nuclear Research).
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.