M. Ten Hoopen
- Cognitive Neuroscience top 10%
- Molecular Biology
- Statistical and Nonlinear Physics top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Co-authors
- A. den Hertog
- Topics
- Neural dynamics and brain function (14 papers)Neural Networks and Applications (14 papers)Gene Regulatory Network Analysis (4 papers)
- Partner nations
- NetherlandsUnited States
In The Last Decade
M. Ten Hoopen
29 papers receiving 294 citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 176
- Molecular Biology 99
- Statistical and Nonlinear Physics 71
- Cellular and Molecular Neuroscience 67
- Artificial Intelligence 57
Countries citing papers authored by M. Ten Hoopen
This map shows the geographic impact of M. Ten Hoopen'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 M. Ten Hoopen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ten Hoopen more than expected).
Fields of papers citing papers by M. Ten Hoopen
This network shows the impact of papers produced by M. Ten Hoopen. 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 M. Ten Hoopen. The network helps show where M. Ten Hoopen may publish in the future.
Co-authorship network of co-authors of M. Ten Hoopen
This figure shows the co-authorship network connecting the top 25 collaborators of M. Ten Hoopen. A scholar is included among the top collaborators of M. Ten Hoopen 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 M. Ten Hoopen. M. Ten Hoopen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 32 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 12 | |
| 9 | On measures of correlation in time series of events. | 2 |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 18 | |
| 13 | 12 | |
| 14 | 25 | |
| 15 | 36 | |
| 16 | 15 | |
| 17 | 5 | |
| 18 | 46 | |
| 19 | 35 | |
| 20 | 18 |
About M. Ten Hoopen
M. Ten Hoopen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 32 papers that have together received 359 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Neural Networks and Applications (14 papers) and Gene Regulatory Network Analysis (4 papers). The work is most often cited by research in Cognitive Neuroscience (176 citations), Statistical and Nonlinear Physics (71 citations) and Cellular and Molecular Neuroscience (67 citations). M. Ten Hoopen has collaborated with scholars based in Netherlands and United States. Frequent co-authors include A. den Hertog. Their work appears in journals such as Circulation Research, Brain Research and Biometrics.
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.