Gaurang Joshi

2.5k total citations
100 papers, 1.2k citations indexed

About

Gaurang Joshi is a scholar working on Building and Construction, Control and Systems Engineering and Transportation. According to data from OpenAlex, Gaurang Joshi has authored 100 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Building and Construction, 62 papers in Control and Systems Engineering and 59 papers in Transportation. Recurrent topics in Gaurang Joshi's work include Traffic control and management (62 papers), Traffic Prediction and Management Techniques (52 papers) and Transportation Planning and Optimization (45 papers). Gaurang Joshi is often cited by papers focused on Traffic control and management (62 papers), Traffic Prediction and Management Techniques (52 papers) and Transportation Planning and Optimization (45 papers). Gaurang Joshi collaborates with scholars based in India, Canada and United States. Gaurang Joshi's co-authors include Shriniwas Arkatkar, Narayana Raju, Ninad Gore, Said M. Easa, Srinivas S. Pulugurtha, Nagendra R. Velaga, Namasivayam Vasudevan, Tom V. Mathew, Dilip Patel and Ashish Dhamaniya and has published in prestigious journals such as Transportation Research Part A Policy and Practice, Sustainable Cities and Society and Safety Science.

In The Last Decade

Gaurang Joshi

94 papers receiving 1.1k citations

Peers

Gaurang Joshi
Prakash Ranjitkar New Zealand
Bekir Bartin United States
Shriniwas Arkatkar India
Panos D. Prevedouros United States
Mohammad M. Hamed Jordan
Hongzhi Guan China
Jibiao Zhou China
Michael D. Fontaine United States
P. Vedagiri India
Prakash Ranjitkar New Zealand
Gaurang Joshi
Citations per year, relative to Gaurang Joshi Gaurang Joshi (= 1×) peers Prakash Ranjitkar

Countries citing papers authored by Gaurang Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Gaurang Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurang Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurang Joshi. A scholar is included among the top collaborators of Gaurang Joshi 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 Gaurang Joshi. Gaurang Joshi 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.
Gore, Ninad, et al.. (2025). Critical conflict probability: A novel risk measure for quantifying intensity of crash risk at unsignalized intersections. IATSS Research. 49(1). 49–59. 2 indexed citations
2.
Joshi, Gaurang, et al.. (2024). Evaluation of Spatiotemporal Transit Accessibility: Weighted Indexing Using the CRITIC‐MCDM Approach and Performance Gap Analysis. Journal of Advanced Transportation. 2024(1). 2 indexed citations
3.
Arkatkar, Shriniwas, et al.. (2023). Modified Geometric Design Consistency Criteria for Two-Lane Rural Highways Based On Crash Severity. Transportation Research Record Journal of the Transportation Research Board. 2678(3). 279–291. 6 indexed citations
4.
Gore, Ninad, Shriniwas Arkatkar, Gaurang Joshi, & Srinivas S. Pulugurtha. (2023). A hazard-based model to derive travel time under congested conditions. Transport Policy. 138. 1–16. 4 indexed citations
5.
Raju, Narayana, Shriniwas Arkatkar, Said M. Easa, & Gaurang Joshi. (2022). Data-Driven Approach for Modeling the Nonlane-Based Mixed Traffic Conditions. Journal of Advanced Transportation. 2022. 1–16. 3 indexed citations
6.
Raju, Narayana, Shriniwas Arkatkar, Said M. Easa, & Gaurang Joshi. (2021). Developing extended trajectory database for heterogeneous traffic like NGSIM database. Transportation Letters. 14(5). 555–564. 11 indexed citations
7.
Raju, Narayana, Shriniwas Arkatkar, Said M. Easa, & Gaurang Joshi. (2021). Addressing Challenges of Modeling Mixed Traffic Through Machine Learning Supported with Vehicular Trajectory Data. 1 indexed citations
8.
Raju, Narayana, Shriniwas Arkatkar, Said M. Easa, & Gaurang Joshi. (2021). Customizing the following behavior models to mimic the weak lane based mixed traffic conditions. Transportmetrica B Transport Dynamics. 10(1). 20–47. 15 indexed citations
9.
Raju, Narayana, Shriniwas Arkatkar, Said M. Easa, & Gaurang Joshi. (2021). Empirical approach for identifying potential rear-end collisions using trajectory data. Journal of Transportation Safety & Security. 14(7). 1247–1267. 2 indexed citations
10.
Raju, Narayana, Shriniwas Arkatkar, & Gaurang Joshi. (2019). Experiences of Supervised Machine Learning to Replicate Driving Behavior Under Traffic Environment. Transportation Research Board 98th Annual MeetingTransportation Research Board. 2 indexed citations
11.
Gore, Ninad, Shriniwas Arkatkar, Gaurang Joshi, & Ashish Bhaskar. (2019). A Novel Methodology to Derive Vehicle Occupancy Using Wi-Fi Sensors Under Heterogenous Traffic Conditions. Transportation Research Board 98th Annual MeetingTransportation Research Board. 2 indexed citations
12.
Raju, Narayana, Shriniwas Arkatkar, & Gaurang Joshi. (2019). Replicating Driving Behavior Under Heterogeneous Non-Lane-Based Traffic Environment: A Supervised Machine Learning Based Methodology. Journal of the Eastern Asia Society for transportation studies. 13. 1801–1816. 2 indexed citations
13.
Raju, Narayana, et al.. (2017). Calibration of Vehicle Following Models Using Trajectory Data Under Heterogeneous Traffic Conditions. Transportation Research Board 96th Annual MeetingTransportation Research Board. 9 indexed citations
14.
Arkatkar, Shriniwas, et al.. (2017). New Methodology for Estimating PCU on Multi Lane Urban Roads under Mixed Traffic Scenario Based on Area Occupancy. Transportation Research Board 96th Annual MeetingTransportation Research Board. 9 indexed citations
15.
Arkatkar, Shriniwas, et al.. (2017). Examining Microscopic and Macroscopic Traffic Flow Parameters at Diverging Section on Multilane Urban Roads in India. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
16.
Joshi, Gaurang, et al.. (2017). Impact of Human Factors and Functional Characteristics of Location on Walking Speed at Stairway Facility. Transportation Research Board 96th Annual MeetingTransportation Research Board. 1 indexed citations
17.
Arkatkar, Shriniwas, et al.. (2016). Traffic Data Analysis Using Image Processing Technique on Delhi-Gurgaon Expressway. Current Science. 110(5). 808–822. 17 indexed citations
18.
Joshi, Gaurang, et al.. (2015). Empirical Study of Bidirectional Movement on Stairway at a Suburban Railway Station in India. Transportation Research Board 94th Annual MeetingTransportation Research Board. 3 indexed citations
19.
Joshi, Gaurang, et al.. (2013). Dynamic vehicle equivalent factors for characterisation of mixed traffic for multilane metropolitan arterials in India. 74(2). 4 indexed citations
20.
Joshi, Gaurang, et al.. (2011). Heterogeneous Traffic Characterisation and Flow Behaviour Modeling for Metropolitan Arterial in India. Journal of the Eastern Asia Society for transportation studies. 9. 1684–1699. 2 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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