Johannes Schemmel
- Electrical and Electronic Engineering top 1%
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 1%
- Artificial Intelligence top 1%
- Biomedical Engineering
- Co-authors
- Karlheinz MeierKwabena BoahenYingxue WangTeresa Serrano‐GotarredonaAndré van SchaikGert CauwenberghsFopefolu FolowoseleSylvie Renaud
- Topics
- Advanced Memory and Neural Computing (66 papers)Neural dynamics and brain function (39 papers)Neural Networks and Reservoir Computing (28 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Johannes Schemmel
82 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Electrical and Electronic Engineering 3.0k
- Cognitive Neuroscience 1.8k
- Cellular and Molecular Neuroscience 1.4k
- Artificial Intelligence 1.0k
- Biomedical Engineering 124
Countries citing papers authored by Johannes Schemmel
This map shows the geographic impact of Johannes Schemmel'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 Johannes Schemmel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Schemmel more than expected).
Fields of papers citing papers by Johannes Schemmel
This network shows the impact of papers produced by Johannes Schemmel. 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 Johannes Schemmel. The network helps show where Johannes Schemmel may publish in the future.
Co-authorship network of co-authors of Johannes Schemmel
This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Schemmel. A scholar is included among the top collaborators of Johannes Schemmel 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 Johannes Schemmel. Johannes Schemmel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 115 | |
| 9 | The BrainScaleS Accelerated Analogue Neuromorphic Architecture. | 2 |
| 10 | 132 | |
| 11 | 76 | |
| 12 | 68 | |
| 13 | Stochastic neural computation without noise | 1 |
| 14 | 110 | |
| 15 | Towards biologically realistic multi-compartment neuron model emulation in analog VLSI | 2 |
| 16 | A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model | 43 |
| 17 | A wafer-scale neuromorphic hardware system for large-scale neural modelingbreakdown → | 446 |
| 18 | 15 | |
| 19 | Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid | 28 |
| 20 | A 66 × 66 pixels analog edge detection array with digital readout | 2 |
About Johannes Schemmel
Johannes Schemmel is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 87 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (66 papers), Neural dynamics and brain function (39 papers) and Neural Networks and Reservoir Computing (28 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Cellular and Molecular Neuroscience (1.4k citations) and Electrical and Electronic Engineering (3.0k citations). Johannes Schemmel has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Karlheinz Meier, Kwabena Boahen, Yingxue Wang, Teresa Serrano‐Gotarredona, André van Schaik, Gert Cauwenberghs, Fopefolu Folowosele, Sylvie Renaud, Philipp Häfliger and Giacomo Indiveri. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.