Colin Molter
About
In The Last Decade
Colin Molter
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 563
- Artificial Intelligence 280
- Cognitive Neuroscience 198
- Cellular and Molecular Neuroscience 153
- Computer Vision and Pattern Recognition 126
Countries citing papers authored by Colin Molter
This map shows the geographic impact of Colin Molter'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 Colin Molter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Molter more than expected).
Fields of papers citing papers by Colin Molter
This network shows the impact of papers produced by Colin Molter. 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 Colin Molter. The network helps show where Colin Molter may publish in the future.
Co-authorship network of co-authors of Colin Molter
This figure shows the co-authorship network connecting the top 25 collaborators of Colin Molter. A scholar is included among the top collaborators of Colin Molter 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 Colin Molter. Colin Molter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 453 | |
| 4 | 17 | |
| 5 | 172 | |
| 6 | 228 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 32 | |
| 10 | Neural computation of the grid field and theta phase precession from head direction system in the entorhinal cortex | 1 |
| 11 | Theta phase precession mediates the entorhinal to hippocampal transformation of space representation in agreement with hippocampal global remapping | 1 |
| 12 | 29 | |
| 13 | 15 | |
| 14 | 42 | |
| 15 | How reward can induce reverse replay of behavioral sequences in the hippocampus | 3 |
| 16 | An interpretative recurrent neural network to improve pattern storing capabilities: dynamical considerations | 0 |
| 17 | Learning cycles brings chaos in continuous hopfield networks | 5 |
| 18 | Phase synchronization and chaotic dynamics in Hebbian learned artificial recurrent neural networks | 1 |
| 19 | Storing information through complex dynamics in recurrent neural networks | 1 |
| 20 | How chaos in small hopfield networks makes sense of the world | 4 |
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.