Shaurya Agarwal

1.1k total citations
46 papers, 738 citations indexed

About

Shaurya Agarwal is a scholar working on Control and Systems Engineering, Transportation and Building and Construction. According to data from OpenAlex, Shaurya Agarwal has authored 46 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Control and Systems Engineering, 15 papers in Transportation and 12 papers in Building and Construction. Recurrent topics in Shaurya Agarwal's work include Traffic control and management (17 papers), Transportation Planning and Optimization (13 papers) and Traffic Prediction and Management Techniques (12 papers). Shaurya Agarwal is often cited by papers focused on Traffic control and management (17 papers), Transportation Planning and Optimization (13 papers) and Traffic Prediction and Management Techniques (12 papers). Shaurya Agarwal collaborates with scholars based in United States, China and Canada. Shaurya Agarwal's co-authors include Pushkin Kachroo, Anjala S. Krishen, Orie Berezan, Shankar Sastry, Emma Regentova, Kaan Özbay, Robyn L. Raschke, Benedetto Piccoli, Hongtao Yang and Samiul Hasan and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Business Research and IEEE Transactions on Vehicular Technology.

In The Last Decade

Shaurya Agarwal

42 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaurya Agarwal United States 15 227 210 190 134 122 46 738
Tomáš Novák Czechia 14 262 1.2× 104 0.5× 78 0.4× 83 0.6× 295 2.4× 96 1.1k
Ok‐Ran Jeong South Korea 10 309 1.4× 52 0.2× 54 0.3× 32 0.2× 53 0.4× 55 819
Laxmisha Rai China 12 91 0.4× 81 0.4× 63 0.3× 39 0.3× 39 0.3× 49 580
Ali Eydgahi United States 12 68 0.3× 59 0.3× 100 0.5× 20 0.1× 39 0.3× 53 591
Barry G. Silverman United States 20 220 1.0× 88 0.4× 46 0.2× 22 0.2× 27 0.2× 98 1.3k
Matthew Conway United States 18 124 0.5× 56 0.3× 109 0.6× 600 4.5× 125 1.0× 33 1.3k
Alexander Nikolaev United States 17 142 0.6× 22 0.1× 30 0.2× 62 0.5× 30 0.2× 61 756
Shin-Jin Kang South Korea 14 52 0.2× 49 0.2× 41 0.2× 32 0.2× 67 0.5× 58 933
Sherief Abdallah United Arab Emirates 19 138 0.6× 38 0.2× 19 0.1× 51 0.4× 53 0.4× 62 903

Countries citing papers authored by Shaurya Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Shaurya Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaurya Agarwal

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

All Works

20 of 20 papers shown
1.
Agarwal, Shaurya, et al.. (2024). Incorporating Nonlocal Traffic Flow Model in Physics-Informed Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 25(11). 16249–16258. 7 indexed citations
2.
Azarian, Taj, et al.. (2024). Capturing the Impact of Vaccination and Human Mobility on the Evolution of COVID-19 Pandemic. IEEE Journal of Biomedical and Health Informatics. 29(3). 2318–2327.
3.
Kachroo, Pushkin, Shaurya Agarwal, & Kaan Özbay. (2024). Macroscopic Fundamental Diagram: Alternative Theoretical Analysis and Implications for Traffic Control. IEEE Open Journal of Intelligent Transportation Systems. 1–1.
4.
Agarwal, Shaurya, et al.. (2024). Data-driven discovery of quasiperiodically driven dynamics. Nonlinear Dynamics. 113(5). 4097–4120. 1 indexed citations
5.
Kachroo, Pushkin, et al.. (2023). Nonlocal Calculus-Based Macroscopic Traffic Model: Development, Analysis, and Validation. IEEE Open Journal of Intelligent Transportation Systems. 4. 900–908. 1 indexed citations
6.
Agarwal, Shaurya, et al.. (2023). Dynamic mode decomposition type algorithms for modeling and predicting queue lengths at signalized intersections with short lookback. Journal of Intelligent Transportation Systems. 28(5). 741–755. 3 indexed citations
7.
Agarwal, Shaurya, et al.. (2022). A linear dynamical perspective on epidemiology: interplay between early COVID-19 outbreak and human mobility. Nonlinear Dynamics. 109(2). 1233–1252. 10 indexed citations
8.
Agarwal, Shaurya, et al.. (2022). Physics-Informed Deep Learning for Traffic State Estimation: Illustrations With LWR and CTM Models. IEEE Open Journal of Intelligent Transportation Systems. 3. 503–518. 37 indexed citations
9.
Agarwal, Shaurya, et al.. (2021). Information Spread in a Social Media Age. 6 indexed citations
10.
Nguyen, Tri Minh, Weinan Gao, X. Zhong, & Shaurya Agarwal. (2021). Reinforcement Learning and Adaptive Optimal Control of Congestion Pricing. IFAC-PapersOnLine. 54(2). 221–226. 2 indexed citations
11.
Agarwal, Shaurya, et al.. (2021). Information Spread in a Social Media Age: Modeling and Control. 2 indexed citations
12.
Abdel‐Aty, Mohamed, Qing Cai, Shaurya Agarwal, et al.. (2020). Using Smartphone as On-board unit (OBU) Emulator Implementation Study. 4 indexed citations
13.
Kachroo, Pushkin, et al.. (2020). A New Language and Input–Output Hidden Markov Model for Automated Audit Inquiry. IEEE Intelligent Systems. 35(6). 39–49. 5 indexed citations
14.
Agarwal, Shaurya & Pushkin Kachroo. (2018). Controllability and Observability Analysis for Intelligent Transportation Systems. Transportation in Developing Economies. 5(1). 5 indexed citations
15.
Agarwal, Shaurya & Pushkin Kachroo. (2017). On the Economic Control of Cyber-physical Systems. 86–90. 2 indexed citations
16.
Berezan, Orie, Anjala S. Krishen, Shaurya Agarwal, & Pushkin Kachroo. (2017). The pursuit of virtual happiness: Exploring the social media experience across generations. Journal of Business Research. 89. 455–461. 73 indexed citations
17.
Agarwal, Shaurya, et al.. (2017). Quality of Traffic Observability on Highways With Lagrangian Sensors. IEEE Transactions on Automation Science and Engineering. 15(2). 761–771. 11 indexed citations
18.
Agarwal, Shaurya, Emma Regentova, Pushkin Kachroo, & Himanshu Verma. (2016). Multidimensional Compression of ITS Data Using Wavelet-Based Compression Techniques. IEEE Transactions on Intelligent Transportation Systems. 18(7). 1907–1917. 11 indexed citations
19.
Agarwal, Shaurya, et al.. (2015). Feedback-Coordinated Ramp Control of Consecutive On-Ramps Using Distributed Modeling and Godunov-Based Satisfiable Allocation. IEEE Transactions on Intelligent Transportation Systems. 16(5). 2384–2392. 37 indexed citations
20.
Agarwal, Shaurya, et al.. (2013). Geospatial Framework for Integration of Transportation Data Using Voronoi Diagrams. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 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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