Jochen Martin Eppler

924 total citations
20 papers, 452 citations indexed

About

Jochen Martin Eppler is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Jochen Martin Eppler has authored 20 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 12 papers in Electrical and Electronic Engineering and 2 papers in Molecular Biology. Recurrent topics in Jochen Martin Eppler's work include Neural dynamics and brain function (13 papers), Advanced Memory and Neural Computing (12 papers) and Functional Brain Connectivity Studies (8 papers). Jochen Martin Eppler is often cited by papers focused on Neural dynamics and brain function (13 papers), Advanced Memory and Neural Computing (12 papers) and Functional Brain Connectivity Studies (8 papers). Jochen Martin Eppler collaborates with scholars based in Germany, Norway and Japan. Jochen Martin Eppler's co-authors include Markus Diesmann, Abigail Morrison, Hans Ekkehard Pleßer, Susanne Kunkel, Moritz Helias, Jun Igarashi, Tomoki Fukai, Shin Ishii, Tobias C. Potjans and Maximilian Schmidt and has published in prestigious journals such as BMC Neuroscience, Network Computation in Neural Systems and Frontiers in Neuroinformatics.

In The Last Decade

Jochen Martin Eppler

19 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochen Martin Eppler Germany 9 350 262 139 93 32 20 452
Tobias C. Potjans Japan 8 651 1.9× 261 1.0× 404 2.9× 73 0.8× 38 1.2× 15 781
Michael Denker Germany 14 449 1.3× 100 0.4× 321 2.3× 49 0.5× 45 1.4× 38 630
Athanasia Papoutsi Greece 9 377 1.1× 177 0.7× 298 2.1× 108 1.2× 80 2.5× 16 601
Kevin A. Archie United States 7 285 0.8× 53 0.2× 149 1.1× 28 0.3× 22 0.7× 10 353
Albert Gidon Germany 10 423 1.2× 175 0.7× 357 2.6× 84 0.9× 72 2.3× 12 619
Dejan Pecevski Austria 8 307 0.9× 264 1.0× 128 0.9× 149 1.6× 16 0.5× 9 419
Felix Bolduan Germany 4 186 0.5× 103 0.4× 135 1.0× 70 0.8× 45 1.4× 7 333
Ján Antolík France 7 370 1.1× 60 0.2× 276 2.0× 31 0.3× 80 2.5× 17 436
Shreya Saxena United States 10 260 0.7× 35 0.1× 114 0.8× 60 0.6× 22 0.7× 25 368
Jordan Guerguiev Canada 3 247 0.7× 159 0.6× 122 0.9× 103 1.1× 19 0.6× 4 336

Countries citing papers authored by Jochen Martin Eppler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jochen Martin Eppler

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

All Works

20 of 20 papers shown
1.
Eppler, Jochen Martin, et al.. (2025). NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules. Frontiers in Neuroinformatics. 19. 1544143–1544143.
2.
Terhorst, D., et al.. (2021). NEST 3.1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
3.
Eppler, Jochen Martin, et al.. (2018). Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models. Frontiers in Neuroinformatics. 12. 50–50. 6 indexed citations
4.
Rumpe⋆, Bernhard, et al.. (2018). Reengineering Nestml With Python And Monticore. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
5.
Eppler, Jochen Martin, et al.. (2017). Constructing Neuronal Network Models in Massively Parallel Environments. Frontiers in Neuroinformatics. 11. 30–30. 16 indexed citations
6.
Rumpe⋆, Bernhard, et al.. (2016). Nestml: A Modeling Language For Spiking Neurons. Zenodo (CERN European Organization for Nuclear Research). 93–108. 8 indexed citations
7.
Eppler, Jochen Martin, Alexander Peyser, Abigail Morrison, et al.. (2015). NEST 2.8.0. Zenodo (CERN European Organization for Nuclear Research). 17 indexed citations
8.
Frings, Wolfgang, et al.. (2015). Modeling the I/O behavior of the NEST simulator using a proxy. 1 indexed citations
9.
Kunkel, Susanne, Maximilian Schmidt, Jochen Martin Eppler, et al.. (2014). Spiking network simulation code for petascale computers. Frontiers in Neuroinformatics. 8. 78–78. 64 indexed citations
10.
Djurfeldt, Mikael, Andrew P. Davison, & Jochen Martin Eppler. (2014). Efficient generation of connectivity in neuronal networks from simulator-independent descriptions. Frontiers in Neuroinformatics. 8. 43–43. 4 indexed citations
11.
Schmidt, Maximilian, Sacha J. van Albada, Jochen Martin Eppler, et al.. (2013). VisNEST — Interactive analysis of neural activity data. 65–72. 20 indexed citations
12.
Kunkel, Susanne, Maximilian Schmidt, Jochen Martin Eppler, et al.. (2013). From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations. BMC Neuroscience. 14(S1). 2 indexed citations
13.
Kunkel, Susanne, Tomoki Fukai, Jochen Martin Eppler, et al.. (2013). Supercomputers ready for use as discovery machines for neuroscience. JuSER (Forschungszentrum Jülich). 6 indexed citations
14.
Helias, Moritz, Susanne Kunkel, Jun Igarashi, et al.. (2012). Supercomputers Ready for Use as Discovery Machines for Neuroscience. Frontiers in Neuroinformatics. 6. 26–26. 39 indexed citations
15.
Kunkel, Susanne, Tobias C. Potjans, Jochen Martin Eppler, et al.. (2012). Meeting the Memory Challenges of Brain-Scale Network Simulation. Frontiers in Neuroinformatics. 5. 35–35. 31 indexed citations
16.
Berger, Stefanie, Robert C. Cannon, Mikael Djurfeldt, et al.. (2012). This is the pre-peer-reviewed version of the following article:. 3 indexed citations
17.
Crook, Sharon, James A. Bednar, Sandra L. Berger, et al.. (2012). Creating, documenting and sharing network models. Network Computation in Neural Systems. 23(4). 131–149. 13 indexed citations
18.
Djurfeldt, Mikael, J. J. Johannes Hjorth, Jochen Martin Eppler, et al.. (2010). Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework. Neuroinformatics. 8(1). 43–60. 61 indexed citations
19.
Eppler, Jochen Martin, et al.. (2009). A testsuite for a neural simulation engine. Frontiers in Neuroinformatics. 3. 3 indexed citations
20.
Eppler, Jochen Martin. (2008). PyNEST: A convenient interface to the NEST simulator. Frontiers in Neuroinformatics. 2. 12–12. 154 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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