Shaurya Agarwal

42 papers receiving 745 citations

Peers

Shaurya Agarwal
Comparison fields: 5 of 103
  • Transportation 138
  • Building and Construction 197
  • Marketing 124
  • Information Systems and Management 74
  • Control and Systems Engineering 214
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Tomáš Novák Czechia
Ok‐Ran Jeong South Korea
Kotaro Hara Singapore
Laxmisha Rai China
Ali Eydgahi United States
Francesca Bertacchini Italy
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Matthew Conway United States
Barry G. Silverman United States
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Citations per year

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-authors

The 25 scholars most cited alongside Shaurya Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaurya Agarwal Line = papers co-authored together Shaurya Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201690
2 201773
3 201955
4 202050
5 202240
6 201638
7 201537
8 201632
9 201531
10 201629
11 201525
12 201925
13 202323
14 201522
15 202017
16 201715
17 202014
18 202312
19 202011
20 202211

About Shaurya Agarwal

Shaurya Agarwal is a scholar working on Control and Systems Engineering, Transportation, Building and Construction, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 50 papers that have together received 762 indexed citations. Recurring topics across this work include Traffic control and management (17 papers), Transportation Planning and Optimization (15 papers), Traffic Prediction and Management Techniques (12 papers), Qualitative Comparative Analysis Research (5 papers), Neural Networks and Applications (5 papers), Traffic and Road Safety (4 papers), Complex Network Analysis Techniques (4 papers) and Cultural Differences and Values (3 papers). The work is most often cited by research in Transportation (138 citations), Building and Construction (197 citations), Marketing (124 citations), Information Systems and Management (74 citations) and Control and Systems Engineering (214 citations). Shaurya Agarwal has collaborated with scholars based in United States, China and India. Frequent 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. Their work appears in journals such as Journal of Business Research, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Systems Man and Cybernetics Systems, Nonlinear Dynamics and European Journal of Marketing.

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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