Jo-Anne Ting
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks
- Anomaly Detection Techniques and Applications
Papers in
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- Gaussian Processes and Bayesian Inference 8
- Anomaly Detection Techniques and Applications 3
- Neural Networks and Applications 2
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- Control Systems and Identification 5
- Fault Detection and Control Systems 4
- Co-authors
- Stefan Schaal (9 shared papers)Sethu Vijayakumar (6 shared papers)Evangelos A. Theodorou (1 shared paper)Aaron D’Souza (7 shared papers)Stefan Schaal (2 shared papers)Mrinal Kalakrishnan (2 shared papers)Hannes P. Saal (2 shared papers)Kevin Murphy (1 shared paper)
- Journals
- Neural Networks (2 papers)Neural Computation (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)ERA (3 papers)Oxford University Research Archive (ORA) (University of Oxford) (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Jo-Anne Ting
16 papers receiving 476 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 149
- Artificial Intelligence 227
- Control and Systems Engineering 153
- Signal Processing 38
- Cognitive Neuroscience 66
Countries citing papers authored by Jo-Anne Ting
This map shows the geographic impact of Jo-Anne Ting'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 Jo-Anne Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo-Anne Ting more than expected).
Fields of papers citing papers by Jo-Anne Ting
This network shows the impact of papers produced by Jo-Anne Ting. 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 Jo-Anne Ting. The network helps show where Jo-Anne Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside Jo-Anne Ting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 114 | |
| 2 | Proc. Advances in Neural Information Processing Systems (NIPS '08) | 2008 | 105 |
| 3 | 2011 | 47 | |
| 4 | 2006 | 39 | |
| 5 | 2010 | 27 | |
| 6 | Learning attentional policies for tracking and recognition in video with deep networks | 2011 | 26 |
| 7 | 2007 | 26 | |
| 8 | 2008 | 26 | |
| 9 | 2010 | 24 | |
| 10 | 2009 | 17 | |
| 11 | 2008 | 13 | |
| 12 | Active Sequential Learning with Tactile Feedback | 2010 | 11 |
| 13 | Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares | 2005 | 10 |
| 14 | 2006 | 9 | |
| 15 | Bayesian Kernel Shaping for Learning Control | 2008 | 8 |
| 16 | Bayesian methods for autonomous learning systems | 2009 | 2 |
| 17 | 2000 | 0 |
About Jo-Anne Ting
Jo-Anne Ting is a scholar working on Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience, Computational Mechanics and Computational Theory and Mathematics, having authored 17 papers that have together received 504 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (8 papers), Control Systems and Identification (5 papers), Fault Detection and Control Systems (4 papers), Anomaly Detection Techniques and Applications (3 papers), Neural dynamics and brain function (3 papers), EEG and Brain-Computer Interfaces (2 papers), Neural Networks and Applications (2 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (149 citations), Artificial Intelligence (227 citations), Control and Systems Engineering (153 citations), Signal Processing (38 citations) and Cognitive Neuroscience (66 citations). Jo-Anne Ting has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Stefan Schaal, Sethu Vijayakumar, Evangelos A. Theodorou, Aaron D’Souza, Stefan Schaal, Mrinal Kalakrishnan, Hannes P. Saal, Kevin Murphy, James J. Little and Wei-Lwun Lu. Their work appears in journals such as Neural Networks, Neural Computation, International Journal of Radiation Oncology*Biology*Physics, ERA and Oxford University Research Archive (ORA) (University of Oxford).
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.