David Verstraeten
About
In The Last Decade
David Verstraeten
39 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 1.7k
- Electrical and Electronic Engineering 1.5k
- Cognitive Neuroscience 599
- Cellular and Molecular Neuroscience 104
- Computer Networks and Communications 85
Countries citing papers authored by David Verstraeten
This map shows the geographic impact of David Verstraeten'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 David Verstraeten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Verstraeten more than expected).
Fields of papers citing papers by David Verstraeten
This network shows the impact of papers produced by David Verstraeten. 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 David Verstraeten. The network helps show where David Verstraeten may publish in the future.
Co-authorship network of co-authors of David Verstraeten
This figure shows the co-authorship network connecting the top 25 collaborators of David Verstraeten. A scholar is included among the top collaborators of David Verstraeten 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 David Verstraeten. David Verstraeten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Experimental demonstration of reservoir computing on a silicon photonics chip breakdown → | 561 |
| 2 | A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling | 35 |
| 3 | Oger: modular learning architectures for large-scale sequential processing | 19 |
| 4 | 51 | |
| 5 | 272 | |
| 6 | 32 | |
| 7 | An uncued brain-computer interface using reservoir computing | 8 |
| 8 | Photonic reservoir computing as a new paradigm for optical information processing | 1 |
| 9 | Extending reservoir computing with random static projections: a hybrid between extreme learning and RC | 17 |
| 10 | 180 | |
| 11 | Adapting reservoir states to get Gaussian distributions. | 2 |
| 12 | The introduction of time-scales in Reservoir Computing, applied to isolated digits recognition | 1 |
| 13 | Adapting reservoirs to get Gaussian distributions | 7 |
| 14 | An overview of reservoir computing: theory, applications and implementations | 204 |
| 15 | 13 | |
| 16 | 86 | |
| 17 | An experimental comparison of reservoir computing methods | 1 |
| 18 | Stochastic Bitstream-based Reservoir Computing with Feedback | 1 |
| 19 | Reservoir Computing with Stochastic Bitstream Neurons | 25 |
| 20 | Isolated word recognition using a Liquid State Machine | 26 |
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.