A. Thayananthan

1.3k total citations
10 papers, 721 citations indexed

About

A. Thayananthan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, A. Thayananthan has authored 10 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Human-Computer Interaction and 2 papers in Control and Systems Engineering. Recurrent topics in A. Thayananthan's work include Human Pose and Action Recognition (8 papers), Advanced Vision and Imaging (4 papers) and Hand Gesture Recognition Systems (4 papers). A. Thayananthan is often cited by papers focused on Human Pose and Action Recognition (8 papers), Advanced Vision and Imaging (4 papers) and Hand Gesture Recognition Systems (4 papers). A. Thayananthan collaborates with scholars based in United Kingdom, Japan and United States. A. Thayananthan's co-authors include Philip H. S. Torr, Roberto Cipolla, Björn Stenger, Baohua Yuan and M. Bray and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and Image and Vision Computing.

In The Last Decade

A. Thayananthan

10 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Thayananthan United Kingdom 9 579 272 126 82 75 10 721
Ido Leichter Israel 10 561 1.0× 259 1.0× 116 0.9× 113 1.4× 80 1.1× 18 718
Jakub Segen United States 11 335 0.6× 232 0.9× 102 0.8× 46 0.6× 103 1.4× 33 606
Frédéric Lerasle France 13 382 0.7× 108 0.4× 109 0.9× 195 2.4× 124 1.7× 59 612
Michael Van den Bergh Switzerland 9 476 0.8× 362 1.3× 144 1.1× 55 0.7× 46 0.6× 11 722
Thorsten Thormählen Germany 18 1.1k 1.8× 94 0.3× 163 1.3× 191 2.3× 54 0.7× 44 1.3k
Kazuhiko Sumi Japan 12 479 0.8× 60 0.2× 155 1.2× 113 1.4× 90 1.2× 65 750
Haris Baltzakis Greece 13 369 0.6× 84 0.3× 87 0.7× 147 1.8× 115 1.5× 26 519
Ana I. Maqueda Spain 5 343 0.6× 156 0.6× 71 0.6× 186 2.3× 86 1.1× 7 499
Adarsh Kowdle United States 15 1.3k 2.2× 144 0.5× 101 0.8× 236 2.9× 85 1.1× 30 1.4k
James Charles United Kingdom 10 450 0.8× 185 0.7× 37 0.3× 19 0.2× 73 1.0× 27 547

Countries citing papers authored by A. Thayananthan

Since Specialization
Citations

This map shows the geographic impact of A. Thayananthan'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 A. Thayananthan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Thayananthan more than expected).

Fields of papers citing papers by A. Thayananthan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Thayananthan. 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 A. Thayananthan. The network helps show where A. Thayananthan may publish in the future.

Co-authorship network of co-authors of A. Thayananthan

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

All Works

10 of 10 papers shown
1.
Thayananthan, A., et al.. (2008). Principled fusion of high-level model and low-level cues for motion segmentation. 6. 1–8. 6 indexed citations
2.
Thayananthan, A., et al.. (2008). Pose estimation and tracking using multivariate regression. Pattern Recognition Letters. 29(9). 1302–1310. 48 indexed citations
3.
Stenger, Björn, A. Thayananthan, Philip H. S. Torr, & Roberto Cipolla. (2006). Model-based hand tracking using a hierarchical Bayesian filter. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(9). 1372–1384. 266 indexed citations
4.
Stenger, Björn, A. Thayananthan, Philip H. S. Torr, & Roberto Cipolla. (2006). Estimating 3D hand pose using hierarchical multi-label classification. Image and Vision Computing. 25(12). 1885–1894. 17 indexed citations
5.
Bray, M., et al.. (2006). Regression-Based Human Motion Capture From Voxel Data. 29.1–29.10. 15 indexed citations
6.
Thayananthan, A., et al.. (2005). Hierarchical Part-Based Human Body Pose Estimation. 47.1–47.10. 37 indexed citations
7.
Thayananthan, A., et al.. (2004). Likelihood Models For Template Matching using the PDF Projection Theorem. 97.1–97.10. 8 indexed citations
8.
Stenger, Björn, et al.. (2003). Filtering using a tree-based estimator. OpenGrey (Institut de l'Information Scientifique et Technique). 96 indexed citations
9.
Thayananthan, A., Björn Stenger, Philip H. S. Torr, & Roberto Cipolla. (2003). Learning a Kinematic Prior for Tree-Based Filtering. 60.1–60.10. 26 indexed citations
10.
Thayananthan, A., Björn Stenger, Philip H. S. Torr, & Roberto Cipolla. (2003). Shape context and chamfer matching in cluttered scenes. I–127. 202 indexed citations

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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