Ambrish Tyagi

4.0k total citations · 1 hit paper
13 papers, 1.2k citations indexed

About

Ambrish Tyagi is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Ambrish Tyagi has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 3 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Ambrish Tyagi's work include Video Surveillance and Tracking Methods (9 papers), Advanced Vision and Imaging (5 papers) and Human Pose and Action Recognition (5 papers). Ambrish Tyagi is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Advanced Vision and Imaging (5 papers) and Human Pose and Action Recognition (5 papers). Ambrish Tyagi collaborates with scholars based in United States, Germany and Greece. Ambrish Tyagi's co-authors include Amit Agrawal, Xiaogang Wang, Hang Zhang, Zhongyue Zhang, Jianping Shi, Kristin Dana, James W. Davis, Gerasimos Potamianos, Siddhartha Chandra and Visesh Chari and has published in prestigious journals such as Image and Vision Computing and Computers and the Humanities.

In The Last Decade

Ambrish Tyagi

13 papers receiving 1.2k citations

Hit Papers

Context Encoding for Semantic Segmentation 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ambrish Tyagi United States 9 954 413 160 82 75 13 1.2k
Guangliang Cheng China 17 731 0.8× 341 0.8× 159 1.0× 88 1.1× 65 0.9× 33 988
Yibo Yang China 14 742 0.8× 402 1.0× 119 0.7× 50 0.6× 70 0.9× 32 1.1k
Aruni RoyChowdhury United States 6 1.2k 1.3× 640 1.5× 208 1.3× 102 1.2× 120 1.6× 6 1.6k
Amit Agrawal United States 6 849 0.9× 343 0.8× 160 1.0× 63 0.8× 79 1.1× 14 1.1k
Wei Zhuo China 7 604 0.6× 339 0.8× 143 0.9× 74 0.9× 71 0.9× 18 832
Qi Dai China 19 1.2k 1.2× 644 1.6× 141 0.9× 82 1.0× 90 1.2× 39 1.6k
Hisham Cholakkal United Arab Emirates 20 996 1.0× 445 1.1× 324 2.0× 140 1.7× 63 0.8× 55 1.5k
Junshi Huang China 14 1.5k 1.6× 729 1.8× 169 1.1× 82 1.0× 59 0.8× 25 2.0k
Chun-Fu Richard Chen United States 6 797 0.8× 395 1.0× 199 1.2× 104 1.3× 153 2.0× 12 1.4k

Countries citing papers authored by Ambrish Tyagi

Since Specialization
Citations

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

Fields of papers citing papers by Ambrish Tyagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ambrish Tyagi

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

All Works

13 of 13 papers shown
1.
Tyagi, Ambrish, et al.. (2020). PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation. 9 indexed citations
2.
Chandra, Siddhartha, et al.. (2019). Learning to Generate Synthetic Data via Compositing. 461–470. 72 indexed citations
3.
Zhang, Hang, Kristin Dana, Jianping Shi, et al.. (2018). Context Encoding for Semantic Segmentation. 7151–7160. 968 indexed citations breakdown →
4.
Tyagi, Ambrish, James W. Davis, & Gerasimos Potamianos. (2008). Steepest Descent For Efficient Covariance Tracking. 1–6. 9 indexed citations
5.
Tyagi, Ambrish & James W. Davis. (2008). A Context-Based Tracker Switching Framework. 1–8. 5 indexed citations
6.
Davis, James W. & Ambrish Tyagi. (2008). Layered tracker switching for visual surveillance. 1 indexed citations
7.
Tyagi, Ambrish & James W. Davis. (2008). A recursive filter for linear systems on Riemannian manifolds. 1–8. 30 indexed citations
8.
Tyagi, Ambrish, Gerasimos Potamianos, James W. Davis, & Stephen M. Chu. (2007). Fusion of Multiple Camera Views for Kernel-Based 3D Tracking. 2002. 1–1. 18 indexed citations
9.
Mostefa, Djamel, Nicolas Moreau, Khalid Choukri, et al.. (2007). The CHIL audiovisual corpus for lecture and meeting analysis inside smart rooms. Computers and the Humanities. 41(3-4). 389–407. 53 indexed citations
10.
Tyagi, Ambrish, Mark Keck, James W. Davis, & Gerasimos Potamianos. (2007). Kernel-Based 3D Tracking. 1–8. 17 indexed citations
11.
Davis, James W. & Ambrish Tyagi. (2006). Minimal-latency human action recognition using reliable-inference. Image and Vision Computing. 24(5). 455–472. 38 indexed citations
12.
Keck, Mark, James W. Davis, & Ambrish Tyagi. (2006). Tracking mean shift clustered point clouds for 3D surveillance. 187–194. 7 indexed citations
13.
Tyagi, Ambrish, James W. Davis, & Mark Keck. (2006). Multiview fusion for canonical view generation based on homography constraints. 61–70. 6 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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