Clinton Fookes
About
In The Last Decade
Clinton Fookes
292 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 165
- Computer Vision and Pattern Recognition 3.1k
- Artificial Intelligence 1.5k
- Signal Processing 1.0k
- Cognitive Neuroscience 656
- Biomedical Engineering 504
Countries citing papers authored by Clinton Fookes
This map shows the geographic impact of Clinton Fookes'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 Clinton Fookes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clinton Fookes more than expected).
Fields of papers citing papers by Clinton Fookes
This network shows the impact of papers produced by Clinton Fookes. 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 Clinton Fookes. The network helps show where Clinton Fookes may publish in the future.
Co-authorship network of co-authors of Clinton Fookes
This figure shows the co-authorship network connecting the top 25 collaborators of Clinton Fookes. A scholar is included among the top collaborators of Clinton Fookes 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 Clinton Fookes. Clinton Fookes 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 | 10 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis | 21 |
| 8 | Heart Sound Segmentation using Bidirectional LSTMs with Attention | 60 |
| 9 | Understanding the Importance of Heart Sound Segmentation for Heart Anomaly Detection | 3 |
| 10 | 42 | |
| 11 | 8 | |
| 12 | Meta transfer learning for facial emotion recognition | 11 |
| 13 | Deep decision trees for discriminative dictionary learning with adversarial multi-agent trajectories | 1 |
| 14 | Task specific visual saliency prediction with memory augmented conditional generative adversarial networks | 16 |
| 15 | Tracking by prediction: A deep generative model for multi-person localisation and tracking | 39 |
| 16 | 4 | |
| 17 | 11 | |
| 18 | Multi-View Human Pose Estimation using Modified Five-point Skeleton Model | 2 |
| 19 | Rigid Medical Image Registration and its Association with Mutual Information | 0 |
| 20 | Rigid and non-rigid image registration and its association with mutual information: a review | 5 |
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.