Sander M. Bohté
About
In The Last Decade
Sander M. Bohté
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 783
- Electrical and Electronic Engineering 754
- Artificial Intelligence 447
- Cellular and Molecular Neuroscience 252
- Management Science and Operations Research 107
Countries citing papers authored by Sander M. Bohté
This map shows the geographic impact of Sander M. Bohté'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 Sander M. Bohté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sander M. Bohté more than expected).
Fields of papers citing papers by Sander M. Bohté
This network shows the impact of papers produced by Sander M. Bohté. 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 Sander M. Bohté. The network helps show where Sander M. Bohté may publish in the future.
Co-authorship network of co-authors of Sander M. Bohté
This figure shows the co-authorship network connecting the top 25 collaborators of Sander M. Bohté. A scholar is included among the top collaborators of Sander M. Bohté 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 Sander M. Bohté. Sander M. Bohté 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 | 4 | |
| 3 | 38 | |
| 4 | 18 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation | 6 |
| 9 | 35 | |
| 10 | Dilated Convolutional Neural Networks for Time Series Forecasting | 1 |
| 11 | Modern machine learning: more with less, cheaper and better | 2 |
| 12 | Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model | 5 |
| 13 | Fractionally Predictive Spiking Neurons | 4 |
| 14 | Optimization of online patient scheduling with urgencies and preferences | 2 |
| 15 | Decentralized online scheduling of combination-appointments in hospitals | 12 |
| 16 | Improving Patient Schedules by Multi-agent Pareto Appointment Exchanging | 3 |
| 17 | Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity | 7 |
| 18 | Competitive market-based allocation of consumer attention space | 2 |
| 19 | SpikeProp: backpropagation for networks of spiking neurons. | 97 |
| 20 | Unsupervised clustering with spiking neurons by sparse temporal coding and multi-layer RBF networks | 1 |
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.