Tom Heskes
About
In The Last Decade
Tom Heskes
216 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 206
- Artificial Intelligence 1.7k
- Molecular Biology 1.2k
- Genetics 1.1k
- Cognitive Neuroscience 867
- Computer Vision and Pattern Recognition 548
Countries citing papers authored by Tom Heskes
This map shows the geographic impact of Tom Heskes'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 Tom Heskes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Heskes more than expected).
Fields of papers citing papers by Tom Heskes
This network shows the impact of papers produced by Tom Heskes. 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 Tom Heskes. The network helps show where Tom Heskes may publish in the future.
Co-authorship network of co-authors of Tom Heskes
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Heskes. A scholar is included among the top collaborators of Tom Heskes 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 Tom Heskes. Tom Heskes 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 | 0 | |
| 3 | 20 | |
| 4 | 80 | |
| 5 | 6 | |
| 6 | 41 | |
| 7 | Discovering cause-effect relationships in spatial systems with a known direction based on observational data | 1 |
| 8 | Learning the Causal Structure of Copula Models with Latent Variables | 4 |
| 9 | 1 | |
| 10 | Computing Lower and Upper Bounds on the Probability of Causal Statements | 1 |
| 11 | On Causal Discovery with Cyclic Additive Noise Models | 33 |
| 12 | Learning causal network structure from multiple (in)dependence models | 4 |
| 13 | Arrowhead completeness from minimal conditional independencies | 3 |
| 14 | Multi-Task Preference Learning with Gaussian Processes | 4 |
| 15 | Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach | 7 |
| 16 | Noisy Threshold Functions for Modelling Causal Independence in Bayesian Networks | 3 |
| 17 | Generalized belief propagation for approximate inference in hybrid Bayesian networks | 12 |
| 18 | BNAIC'03: Proceedings of the 15th Belgium-Netherlands Artificial Intelligence Conference | 1 |
| 19 | Probability assessment with maximum entropy in Bayesian networks | 4 |
| 20 | Model clustering by deterministic annealing. | 7 |
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.