Jo-Anne Ting

793 total citations
17 papers, 504 citations indexed

About

Jo-Anne Ting is a scholar working on Artificial Intelligence, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Jo-Anne Ting has authored 17 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 3 papers in Cognitive Neuroscience. Recurrent topics in Jo-Anne Ting's work include Gaussian Processes and Bayesian Inference (8 papers), Control Systems and Identification (5 papers) and Fault Detection and Control Systems (4 papers). Jo-Anne Ting is often cited by papers focused on Gaussian Processes and Bayesian Inference (8 papers), Control Systems and Identification (5 papers) and Fault Detection and Control Systems (4 papers). Jo-Anne Ting collaborates with scholars based in United States, Canada and Japan. Jo-Anne Ting's co-authors include Stefan Schaal, Sethu Vijayakumar, Evangelos A. Theodorou, Aaron D’Souza, Stefan Schaal, Mrinal Kalakrishnan, Hannes P. Saal, Wei-Lwun Lu, Kevin Murphy and James J. Little and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Neural Computation and Neural Networks.

In The Last Decade

Jo-Anne Ting

16 papers receiving 476 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jo-Anne Ting United States	12	227	153	149	66	65	17	504
Francesco Gianfelici Italy	10	102 0.4×	79 0.5×	103 0.7×	44 0.7×	77 1.2×	23	424
Aaron D’Souza United States	10	262 1.2×	298 1.9×	100 0.7×	105 1.6×	133 2.0×	14	597
Changming Zhu China	15	333 1.5×	95 0.6×	358 2.4×	23 0.3×	45 0.7×	94	745
Judith Bütepage Sweden	5	266 1.2×	219 1.4×	312 2.1×	21 0.3×	78 1.2×	11	682
Hong Wu China	13	233 1.0×	44 0.3×	298 2.0×	91 1.4×	45 0.7×	60	682
Rhee Man Kil South Korea	12	423 1.9×	205 1.3×	157 1.1×	44 0.7×	29 0.4×	40	728
Hassene Seddik Tunisia	12	96 0.4×	110 0.7×	292 2.0×	65 1.0×	35 0.5×	66	497
Jianwen Wang China	6	192 0.8×	67 0.4×	181 1.2×	21 0.3×	26 0.4×	18	478

Countries citing papers authored by Jo-Anne Ting

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jo-Anne Ting

This figure shows the co-authorship network connecting the top 25 collaborators of Jo-Anne Ting. A scholar is included among the top collaborators of Jo-Anne Ting 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 Jo-Anne Ting. Jo-Anne Ting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Bazzani, Loris, Hugo Larochelle, Vittorio Murino, Jo-Anne Ting, & Nando de Freitas. (2011). Learning attentional policies for tracking and recognition in video with deep networks. Oxford University Research Archive (ORA) (University of Oxford). 937–944. 26 indexed citations

Lu, Wei-Lwun, Jo-Anne Ting, Kevin Murphy, & James J. Little. (2011). Identifying players in broadcast sports videos using conditional random fields. 3249–3256. 47 indexed citations

Saal, Hannes P., Jo-Anne Ting, & Sethu Vijayakumar. (2010). Active Sequential Learning with Tactile Feedback. ERA. 677–684. 11 indexed citations

Ting, Jo-Anne, Aaron D’Souza, & Stefan Schaal. (2010). Bayesian robot system identification with input and output noise. Neural Networks. 24(1). 99–108. 24 indexed citations

Saal, Hannes P., Jo-Anne Ting, & Sethu Vijayakumar. (2010). Active estimation of object dynamics parameters with tactile sensors. 916–921. 27 indexed citations

Ting, Jo-Anne, Aaron D’Souza, Sethu Vijayakumar, & Stefan Schaal. (2009). Efficient Learning and Feature Selection in High-Dimensional Regression. Neural Computation. 22(4). 831–886. 17 indexed citations

Schaal, Stefan & Jo-Anne Ting. (2009). Bayesian methods for autonomous learning systems. 2 indexed citations

Ting, Jo-Anne, Mrinal Kalakrishnan, Sethu Vijayakumar, & Stefan Schaal. (2008). Bayesian Kernel Shaping for Learning Control. ERA. 21. 1673–1680. 8 indexed citations

Ting, Jo-Anne, Aaron D’Souza, Kenji Yamamoto, et al.. (2008). Variational Bayesian least squares: An application to brain–machine interface data. Neural Networks. 21(8). 1112–1131. 26 indexed citations

10.

Ting, Jo-Anne, Mrinal Kalakrishnan, Sethu Vijayakumar, & Stefan Schaal. (2008). Proc. Advances in Neural Information Processing Systems (NIPS '08). 105 indexed citations

11.

Ting, Jo-Anne, Aaron D’Souza, Sethu Vijayakumar, & Stefan Schaal. (2008). A Bayesian approach to empirical local linearization for robotics. ERA. 2860–2865. 13 indexed citations

12.

Ting, Jo-Anne, Aaron D’Souza, & Stefan Schaal. (2007). Automatic Outlier Detection: A Bayesian Approach. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 2489–2494. 26 indexed citations

13.

Ting, Jo-Anne, Evangelos A. Theodorou, & Stefan Schaal. (2007). A Kalman filter for robust outlier detection. 1514–1519. 114 indexed citations

14.

Ting, Jo-Anne, Aaron D’Souza, & Stefan Schaal. (2006). Bayesian regression with input noise for high dimensional data. 937–944. 9 indexed citations

15.

Ting, Jo-Anne, Michael Mistry, Jan Peters, Stefan Schaal, & Jun Nakanishi. (2006). A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. 39 indexed citations

16.

Ting, Jo-Anne, Aaron D’Souza, Kenji Yamamoto, et al.. (2005). Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. 18. 1361–1368. 10 indexed citations

17.

Ting, Jo-Anne, et al.. (2000). A comparison between ‘step-and-shoot’ and ‘sliding windows’ leaf sequencing algorithms in IMRT. International Journal of Radiation Oncology*Biology*Physics. 48(3). 220–220.

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.

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