Vivek Veeriah

785 total citations · 1 hit paper
7 papers, 340 citations indexed

About

Vivek Veeriah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Vivek Veeriah has authored 7 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Vivek Veeriah's work include Reinforcement Learning in Robotics (4 papers), Functional Brain Connectivity Studies (1 paper) and Neural dynamics and brain function (1 paper). Vivek Veeriah is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Functional Brain Connectivity Studies (1 paper) and Neural dynamics and brain function (1 paper). Vivek Veeriah collaborates with scholars based in United States and Canada. Vivek Veeriah's co-authors include Guo-Jun Qi, Naifan Zhuang, Richard S. Sutton, Harm van Seijen, David Silver, Zhongwen Xu, Satinder Singh, Richard L. Lewis, Tom Zahavy and Matteo Hessel and has published in prestigious journals such as Deep Blue (University of Michigan), arXiv (Cornell University) and Journal of International Crisis and Risk Communication Research.

In The Last Decade

Vivek Veeriah

7 papers receiving 335 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Differential Recurrent Neural Networks for Action Recognition

2015 312 citations Vivek Veeriah, Naifan Zhuang et al. Journal of International Crisis and Risk Communication Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vivek Veeriah United States	4	292	173	139	75	20	7	340
Chiara Plizzari Italy	6	290 1.0×	166 1.0×	131 0.9×	87 1.2×	11 0.6×	10	340
Zhan Tong China	4	324 1.1×	187 1.1×	101 0.7×	54 0.7×	14 0.7×	8	373
Naifan Zhuang United States	5	371 1.3×	202 1.2×	156 1.1×	79 1.1×	23 1.1×	8	407
Javed Imran India	8	293 1.0×	175 1.0×	110 0.8×	86 1.1×	12 0.6×	12	366
José Ramón Padilla-López Spain	5	348 1.2×	115 0.7×	120 0.9×	75 1.0×	33 1.6×	5	412
Inwoong Lee South Korea	6	323 1.1×	177 1.0×	181 1.3×	92 1.2×	10 0.5×	12	375
Chuankun Li China	9	397 1.4×	192 1.1×	217 1.6×	148 2.0×	21 1.1×	35	469
Matteo Bregonzio United Kingdom	5	359 1.2×	167 1.0×	134 1.0×	66 0.9×	13 0.7×	8	381
Bingbing Ni China	11	392 1.3×	184 1.1×	67 0.5×	38 0.5×	11 0.6×	21	426
Zhaoyang Liu China	7	357 1.2×	181 1.0×	127 0.9×	55 0.7×	6 0.3×	22	404

Countries citing papers authored by Vivek Veeriah

Since Specialization

Citations

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

Fields of papers citing papers by Vivek Veeriah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Veeriah

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

7 of 7 papers shown

1.

Veeriah, Vivek. (2022). Discovery in Reinforcement Learning. Deep Blue (University of Michigan). 1 indexed citations

2.

Zahavy, Tom, Zhongwen Xu, Vivek Veeriah, et al.. (2020). A Self-Tuning Actor-Critic Algorithm. Neural Information Processing Systems. 33. 20913–20924. 2 indexed citations

3.

Zahavy, Tom, Zhongwen Xu, Vivek Veeriah, et al.. (2020). Self-Tuning Deep Reinforcement Learning. arXiv (Cornell University). 3 indexed citations

4.

Veeriah, Vivek, Matteo Hessel, Zhongwen Xu, et al.. (2019). Discovery of Useful Questions as Auxiliary Tasks. arXiv (Cornell University). 32. 9310–9321. 7 indexed citations

5.

Veeriah, Vivek, Harm van Seijen, & Richard S. Sutton. (2017). Forward Actor-Critic for Nonlinear Function Approximation in Reinforcement Learning. Adaptive Agents and Multi-Agents Systems. 556–564. 7 indexed citations

6.

Veeriah, Vivek, Naifan Zhuang, & Guo-Jun Qi. (2015). Differential Recurrent Neural Networks for Action Recognition. Journal of International Crisis and Risk Communication Research. 4041–4049. 312 indexed citations breakdown →

7.

Veeriah, Vivek, et al.. (2015). Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction. Journal of International Crisis and Risk Communication Research. 1205–1214. 8 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