Prateek Bansal

3.2k total citations
139 papers, 2.0k citations indexed

About

Prateek Bansal is a scholar working on Transportation, Automotive Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Prateek Bansal has authored 139 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Transportation, 39 papers in Automotive Engineering and 32 papers in Electrical and Electronic Engineering. Recurrent topics in Prateek Bansal's work include Transportation Planning and Optimization (32 papers), Transportation and Mobility Innovations (25 papers) and Economic and Environmental Valuation (25 papers). Prateek Bansal is often cited by papers focused on Transportation Planning and Optimization (32 papers), Transportation and Mobility Innovations (25 papers) and Economic and Environmental Valuation (25 papers). Prateek Bansal collaborates with scholars based in Singapore, India and United States. Prateek Bansal's co-authors include Kara M. Kockelman, Ricardo A. Daziano, Daniel J. Fagnant, Khashayar Kazemzadeh, Rubal Dua, Daniel J. Graham, Rico Krueger, R. C. Joshi, Samitha Samaranayake and Eui-Jin Kim and has published in prestigious journals such as Nature Communications, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Prateek Bansal

125 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prateek Bansal Singapore 24 1.0k 783 474 256 227 139 2.0k
Jay Michael Rosenberger United States 25 763 0.8× 344 0.4× 470 1.0× 182 0.7× 167 0.7× 144 2.0k
Bilal Farooq Canada 23 518 0.5× 708 0.9× 222 0.5× 295 1.2× 65 0.3× 104 1.5k
Chunfu Shao China 23 592 0.6× 723 0.9× 452 1.0× 405 1.6× 79 0.3× 134 1.9k
Chung‐Cheng Lu Taiwan 31 721 0.7× 1.1k 1.4× 213 0.4× 705 2.8× 224 1.0× 95 2.6k
Wilfred W. Recker United States 22 252 0.3× 629 0.8× 302 0.6× 517 2.0× 181 0.8× 65 1.6k
Domokos Esztergár‐Kiss Hungary 24 749 0.7× 790 1.0× 94 0.2× 292 1.1× 227 1.0× 133 1.6k
Martin Trépanier Canada 30 956 0.9× 2.7k 3.5× 184 0.4× 987 3.9× 327 1.4× 150 3.5k
Shuai Su China 32 357 0.4× 1.1k 1.4× 244 0.5× 253 1.0× 89 0.4× 146 3.9k
Yu Nie United States 39 2.3k 2.2× 3.2k 4.1× 602 1.3× 1.1k 4.4× 344 1.5× 161 4.3k
Mohsen Asadi Canada 22 374 0.4× 201 0.3× 142 0.3× 312 1.2× 38 0.2× 95 1.8k

Countries citing papers authored by Prateek Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Prateek Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prateek Bansal

This figure shows the co-authorship network connecting the top 25 collaborators of Prateek Bansal. A scholar is included among the top collaborators of Prateek Bansal 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 Prateek Bansal. Prateek Bansal 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.
Bansal, Prateek, et al.. (2026). Harnessing household travel survey with smart card data to generate spatiotemporally-diverse activity schedules for transit users. Transportation Research Part B Methodological. 205. 103388–103388.
2.
Ding, J., et al.. (2025). Preferences for electric vehicles under uncertain charging prices: An eye-tracking study. Transportation Research Part D Transport and Environment. 140. 104608–104608. 3 indexed citations
3.
Bansal, Prateek, et al.. (2025). Understanding the capacity of airport runway systems. Transportation Research Part C Emerging Technologies. 173. 104998–104998. 2 indexed citations
4.
Chow, Joseph Y.J., et al.. (2025). Nonparametric mixed logit model with market-level parameters estimated from market share data. Transportation Research Part B Methodological. 196. 103220–103220. 1 indexed citations
5.
Zhang, Bin, Siyuan Chen, Bo Wang, et al.. (2025). Lithium-ion battery recycling relieves the threat to material scarcity amid China’s electric vehicle ambitions. Nature Communications. 16(1). 6661–6661. 8 indexed citations
6.
Dua, Rubal, et al.. (2024). Emerging energy economics and policy research priorities for enabling the electric vehicle sector. Energy Reports. 12. 1836–1847. 38 indexed citations
7.
Pani, Agnivesh, et al.. (2024). Towards sustainable logistics in India: Forecasting freight transport emissions and policy evaluations. Transportation Research Part D Transport and Environment. 133. 104267–104267. 9 indexed citations
8.
Govindan, Kannan, et al.. (2024). Enabling net-zero shipping: An expert review-based agenda for emerging techno-economic and policy research. Transportation Research Part E Logistics and Transportation Review. 192. 103753–103753. 19 indexed citations
9.
Huo, Jinghai, Eui-Jin Kim, & Prateek Bansal. (2024). Understanding consumers’ non-compensatory and heterogeneous preferences for electric vehicles. Energy Policy. 192. 114260–114260. 6 indexed citations
10.
Ito, Koichi, Prateek Bansal, & Filip Biljecki. (2024). Examining the causal impacts of the built environment on cycling activities using time-series street view imagery. Transportation Research Part A Policy and Practice. 190. 104286–104286. 6 indexed citations
11.
Kim, Eui-Jin, et al.. (2024). A novel data fusion method to leverage passively-collected mobility data in generating spatially-heterogeneous synthetic population. Transportation Research Part B Methodological. 191. 103128–103128. 5 indexed citations
12.
Dua, Rubal, et al.. (2024). Are American electric vehicle owners quitting?. Transportation Research Part D Transport and Environment. 133. 104272–104272. 17 indexed citations
13.
Maksimenko, Vladimir, David Labbé, Alison L. Eldridge, et al.. (2024). Do people need guidance to estimate a food portion size? Evidence from an exploratory eye-tracker study. Food Quality and Preference. 120. 105250–105250. 1 indexed citations
14.
Singh, Manjinder, et al.. (2023). Eliciting preferences of Indians for air travel during COVID-19 pandemic. Transportation Research Part A Policy and Practice. 176. 103830–103830. 2 indexed citations
15.
Bansal, Prateek, et al.. (2023). The gender productivity gap in the ride-hailing market. Travel Behaviour and Society. 32. 100569–100569. 7 indexed citations
16.
Krueger, Rico, Michel Bierlaire, & Prateek Bansal. (2023). A data fusion approach for ride-sourcing demand estimation: A discrete choice model with sampling and endogeneity corrections. Transportation Research Part C Emerging Technologies. 152. 104180–104180. 9 indexed citations
17.
Krueger, Rico, Michel Bierlaire, Ricardo A. Daziano, Taha Hossein Rashidi, & Prateek Bansal. (2021). Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity. Journal of Choice Modelling. 41. 100323–100323. 27 indexed citations
18.
Bansal, Prateek, et al.. (2018). A framework to integrate mode choice in the design of mobility-on-demand systems. Transportation Research Part C Emerging Technologies. 105. 648–665. 94 indexed citations
19.
Bansal, Prateek & Ricardo A. Daziano. (2017). Comparison of Parametric and Seminonparametric Unobserved Taste Heterogeneity in Choice Modeling. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
20.
Bansal, Prateek, Mu‐Chen Chen, & Chun-Chin Hsu. (2015). A Freeway Travel Time Prediction and Feature Selection Model Integrating Principal Component Analysis and Neural Networks. Transportation Research Board 94th Annual MeetingTransportation Research Board. 1 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

Breakdown of academic impact, for papers by Jay Michael Rosenberger Breakdown of academic impact, for papers by Bilal Farooq Breakdown of academic impact, for papers by Chunfu Shao Breakdown of academic impact, for papers by Chung‐Cheng Lu Breakdown of academic impact, for papers by Wilfred W. Recker Breakdown of academic impact, for papers by Domokos Esztergár‐Kiss Breakdown of academic impact, for papers by Martin Trépanier Breakdown of academic impact, for papers by Shuai Su Breakdown of academic impact, for papers by Yu Nie Breakdown of academic impact, for papers by Mohsen Asadi
Rankless by CCL
2026