Gert Van Dijck
About
In The Last Decade
Gert Van Dijck
21 papers receiving 265 citations
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 137
- Cellular and Molecular Neuroscience 91
- Artificial Intelligence 42
- Biomedical Engineering 39
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Gert Van Dijck
This map shows the geographic impact of Gert Van Dijck'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 Gert Van Dijck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gert Van Dijck more than expected).
Fields of papers citing papers by Gert Van Dijck
This network shows the impact of papers produced by Gert Van Dijck. 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 Gert Van Dijck. The network helps show where Gert Van Dijck may publish in the future.
Co-authorship network of co-authors of Gert Van Dijck
This figure shows the co-authorship network connecting the top 25 collaborators of Gert Van Dijck. A scholar is included among the top collaborators of Gert Van Dijck 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 Gert Van Dijck. Gert Van Dijck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 30 | |
| 3 | 19 | |
| 4 | 8 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | Posterior probability profiles for the automated assessment of the recovery of stroke patients | 6 |
| 11 | 2 | |
| 12 | Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis | 28 |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | Corrosion time series classification using the continuous wavelet transform and MML density estimation | 1 |
| 19 | Corrosion time series classification using the haar wavelet transform and MML density estimation | 3 |
| 20 | ACOUSTIC EMISSION FOR ON-LINE MONITORING OF DAMAGE IN VARIOUS APPLICATION FIELDS | 2 |
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.