Jochen Martin Eppler
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- Neuroscience and Neural Engineering
Papers in
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- Neural dynamics and brain function 18
- Functional Brain Connectivity Studies 10
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- Advanced Memory and Neural Computing 16
- Ferroelectric and Negative Capacitance Devices 3
- Co-authors
- Markus Diesmann (9 shared papers)Abigail Morrison (10 shared papers)Hans Ekkehard Pleßer (10 shared papers)Moritz Helias (5 shared papers)Susanne Kunkel (5 shared papers)Marc-Oliver Gewaltig (2 shared papers)Tomoki Fukai (4 shared papers)Jun Igarashi (4 shared papers)
In The Last Decade
Jochen Martin Eppler
22 papers receiving 581 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 459
- Cellular and Molecular Neuroscience 164
- Biophysics 41
- Electrical and Electronic Engineering 356
- Artificial Intelligence 128
Countries citing papers authored by Jochen Martin Eppler
This map shows the geographic impact of Jochen Martin Eppler'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 Jochen Martin Eppler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Martin Eppler more than expected).
Fields of papers citing papers by Jochen Martin Eppler
This network shows the impact of papers produced by Jochen Martin Eppler. 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 Jochen Martin Eppler. The network helps show where Jochen Martin Eppler may publish in the future.
Co-authors
The 25 scholars most cited alongside Jochen Martin Eppler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 167 | |
| 2 | 2014 | 81 | |
| 3 | 2010 | 71 | |
| 4 | 2007 | 60 | |
| 5 | 2012 | 47 | |
| 6 | 2012 | 34 | |
| 7 | 2018 | 26 | |
| 8 | 2013 | 25 | |
| 9 | 2017 | 23 | |
| 10 | 2012 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2022 | 7 | |
| 13 | 2018 | 7 | |
| 14 | Supercomputers ready for use as discovery machines for neuroscience | 2013 | 6 |
| 15 | 2014 | 6 | |
| 16 | 2007 | 4 | |
| 17 | 2009 | 4 | |
| 18 | This is the pre-peer-reviewed version of the following article: | 2012 | 3 |
| 19 | Modeling the I/O behavior of the NEST simulator using a proxy | 2015 | 3 |
| 20 | 2013 | 2 |
About Jochen Martin Eppler
Jochen Martin Eppler is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Biophysics, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 22 papers that have together received 603 indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Advanced Memory and Neural Computing (16 papers), Functional Brain Connectivity Studies (10 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Gene Regulatory Network Analysis (2 papers), Neural Networks and Reservoir Computing (2 papers), Cell Image Analysis Techniques (2 papers) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Cognitive Neuroscience (459 citations), Cellular and Molecular Neuroscience (164 citations), Biophysics (41 citations), Electrical and Electronic Engineering (356 citations) and Artificial Intelligence (128 citations). Jochen Martin Eppler has collaborated with scholars based in Germany, Japan and Norway. Frequent co-authors include Markus Diesmann, Abigail Morrison, Hans Ekkehard Pleßer, Moritz Helias, Susanne Kunkel, Marc-Oliver Gewaltig, Tomoki Fukai, Jun Igarashi, Shin Ishii and Tobias C. Potjans. Their work appears in journals such as Frontiers in Neuroinformatics, BMC Neuroscience, Neuroinformatics, Network Computation in Neural Systems 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.