Thang To

683 total citations
3 papers, 136 citations indexed

About

Thang To is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Thang To has authored 3 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Thang To's work include Robot Manipulation and Learning (2 papers), Human Motion and Animation (1 paper) and Natural Language Processing Techniques (1 paper). Thang To is often cited by papers focused on Robot Manipulation and Learning (2 papers), Human Motion and Animation (1 paper) and Natural Language Processing Techniques (1 paper). Thang To collaborates with scholars based in . Thang To's co-authors include Stan Birchfield, Jonathan Tremblay, Xiang Yu, Balakumar Sundaralingam, Dieter Fox, Jeffrey L. Smith, Chenglong Jia, Stephen Tyree, Shariq Iqbal and Jonathan Tremblay and has published in prestigious journals such as arXiv (Cornell University) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Thang To

2 papers receiving 126 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thang To	2	94	89	64	21	20	3	136
Caner Şahin United Kingdom	5	76 0.8×	107 1.2×	100 1.6×	10 0.5×	18 0.9×	11	151
Jan Issac Germany	4	93 1.0×	93 1.0×	57 0.9×	27 1.3×	31 1.6×	4	151
Aaron Chan United States	3	117 1.2×	179 2.0×	155 2.4×	34 1.6×	25 1.3×	3	255
Samir Yitzhak Gadre United States	5	60 0.6×	116 1.3×	34 0.5×	48 2.3×	10 0.5×	6	173
Guillermo Garcia-Hernando United Kingdom	7	95 1.0×	154 1.7×	61 1.0×	40 1.9×	30 1.5×	12	218
Bokui Shen United States	5	48 0.5×	121 1.4×	44 0.7×	36 1.7×	16 0.8×	12	170
Yann Labbé France	5	68 0.7×	83 0.9×	42 0.7×	24 1.1×	13 0.7×	6	123
Jiehong Lin China	5	87 0.9×	103 1.2×	55 0.9×	67 3.2×	28 1.4×	7	197
Yan Di Germany	7	179 1.9×	203 2.3×	122 1.9×	27 1.3×	36 1.8×	14	267
Rémi Pautrat Switzerland	5	38 0.4×	141 1.6×	106 1.7×	20 1.0×	17 0.8×	11	200

Countries citing papers authored by Thang To

Since Specialization

Citations

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

Fields of papers citing papers by Thang To

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thang To

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

All Works

Sort: Min cites: Since: Top N: Style:

3 of 3 papers shown

1.

Tyree, Stephen, Jonathan Tremblay, Thang To, et al.. (2022). 6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 13081–13088.

2.

Iqbal, Shariq, et al.. (2019). Directional Semantic Grasping of Real-World Objects: From Simulation to Reality.. arXiv (Cornell University). 3 indexed citations

3.

Tremblay, Jonathan, Thang To, Balakumar Sundaralingam, et al.. (2018). Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. arXiv (Cornell University). 306–316. 133 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.

Explore authors with similar magnitude of impact