Thanard Kurutach

784 total citations
4 papers, 93 citations indexed

About

Thanard Kurutach is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Thanard Kurutach has authored 4 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Thanard Kurutach's work include Advanced Vision and Imaging (2 papers), Fuel Cells and Related Materials (1 paper) and Multimodal Machine Learning Applications (1 paper). Thanard Kurutach is often cited by papers focused on Advanced Vision and Imaging (2 papers), Fuel Cells and Related Materials (1 paper) and Multimodal Machine Learning Applications (1 paper). Thanard Kurutach collaborates with scholars based in United States. Thanard Kurutach's co-authors include Pieter Abbeel, Aviv Tamar, Angelina Wang, Ge Yang, Stuart Russell, Ignasi Clavera, Yan Duan, Ajay N. Jain, Deepak Pathak and Scott Emmons and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Thanard Kurutach

4 papers receiving 89 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thanard Kurutach United States	3	50	50	41	13	9	4	93
Suneel Belkhale United States	4	39 0.8×	48 1.0×	38 0.9×	5 0.4×	10 1.1×	4	113
Eric Undersander United States	4	42 0.8×	47 0.9×	72 1.8×	6 0.5×	19 2.1×	5	118
Quan Vuong United States	7	47 0.9×	52 1.0×	49 1.2×	4 0.3×	3 0.3×	15	124
Sudeep Dasari United States	6	41 0.8×	28 0.6×	50 1.2×	15 1.2×	4 0.4×	12	114
Liyiming Ke United States	5	31 0.6×	87 1.7×	95 2.3×	6 0.5×	9 1.0×	8	137
Kirsty Ellis United Kingdom	5	30 0.6×	28 0.6×	68 1.7×	18 1.4×	25 2.8×	6	124
Norman Di Palo United Kingdom	5	36 0.7×	17 0.3×	28 0.7×	12 0.9×	11 1.2×	7	74
Arunkumar Byravan United States	5	45 0.9×	38 0.8×	71 1.7×	12 0.9×	28 3.1×	6	105
Ayzaan Wahid United States	4	31 0.6×	40 0.8×	43 1.0×	3 0.2×	9 1.0×	5	83
Kevin Zhang United States	5	36 0.7×	28 0.6×	62 1.5×	35 2.7×	4 0.4×	7	100

Countries citing papers authored by Thanard Kurutach

Since Specialization

Citations

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

Fields of papers citing papers by Thanard Kurutach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thanard Kurutach

This figure shows the co-authorship network connecting the top 25 collaborators of Thanard Kurutach. A scholar is included among the top collaborators of Thanard Kurutach 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 Thanard Kurutach. Thanard Kurutach 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:

4 of 4 papers shown

1.

Emmons, Scott, Ajay N. Jain, Michael Laskin, et al.. (2020). Sparse Graphical Memory for Robust Planning. arXiv (Cornell University). 33. 5251–5262. 2 indexed citations

2.

Wang, Angelina, et al.. (2019). Learning Robotic Manipulation through Visual Planning and Acting. 53 indexed citations

3.

Kurutach, Thanard, Ignasi Clavera, Yan Duan, Aviv Tamar, & Pieter Abbeel. (2018). Model-Ensemble Trust-Region Policy Optimization. arXiv (Cornell University). 10 indexed citations

4.

Kurutach, Thanard, Aviv Tamar, Ge Yang, Stuart Russell, & Pieter Abbeel. (2018). Learning Plannable Representations with Causal InfoGAN. arXiv (Cornell University). 31. 8747–8758. 28 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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