Shriniwas Arkatkar

3.5k total citations
166 papers, 1.9k citations indexed

About

Shriniwas Arkatkar is a scholar working on Control and Systems Engineering, Building and Construction and Transportation. According to data from OpenAlex, Shriniwas Arkatkar has authored 166 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Control and Systems Engineering, 92 papers in Building and Construction and 88 papers in Transportation. Recurrent topics in Shriniwas Arkatkar's work include Traffic control and management (110 papers), Traffic Prediction and Management Techniques (85 papers) and Traffic and Road Safety (81 papers). Shriniwas Arkatkar is often cited by papers focused on Traffic control and management (110 papers), Traffic Prediction and Management Techniques (85 papers) and Traffic and Road Safety (81 papers). Shriniwas Arkatkar collaborates with scholars based in India, Canada and Netherlands. Shriniwas Arkatkar's co-authors include Gaurang Joshi, Ninad Gore, V. Thamizh Arasan, Narayana Raju, Ashish Dhamaniya, Said M. Easa, Ashoke Kumar Sarkar, Srinivas S. Pulugurtha, Manoranjan Parida and Nagendra R. Velaga and has published in prestigious journals such as Accident Analysis & Prevention, Physica A Statistical Mechanics and its Applications and Sustainable Cities and Society.

In The Last Decade

Shriniwas Arkatkar

156 papers receiving 1.8k citations

Peers

Shriniwas Arkatkar
Hwasoo Yeo South Korea
Sara Moridpour Australia
Praveen Edara United States
Madhav Chitturi United States
Anurag Pande United States
Albert Gan United States
Lai Zheng China
Hwasoo Yeo South Korea
Shriniwas Arkatkar
Citations per year, relative to Shriniwas Arkatkar Shriniwas Arkatkar (= 1×) peers Hwasoo Yeo

Countries citing papers authored by Shriniwas Arkatkar

Since Specialization
Citations

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

Fields of papers citing papers by Shriniwas Arkatkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shriniwas Arkatkar

This figure shows the co-authorship network connecting the top 25 collaborators of Shriniwas Arkatkar. A scholar is included among the top collaborators of Shriniwas Arkatkar 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 Shriniwas Arkatkar. Shriniwas Arkatkar 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.
Arkatkar, Shriniwas, et al.. (2025). System Reliability Evaluation of Expressway Horizontal Alignment Design Considering Trucks and Passenger Cars. Transportation Research Record Journal of the Transportation Research Board. 2679(5). 836–848.
3.
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
4.
Gore, Ninad, et al.. (2023). Traffic conflict assessment using macroscopic traffic flow variables: A novel framework for real-time applications. Accident Analysis & Prevention. 185. 107020–107020. 21 indexed citations
5.
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
6.
Gore, Ninad, et al.. (2023). Novel Traffic Conflict-Based Framework for Real-Time Traffic Safety Evaluation Under Heterogeneous and Weak Lane-Discipline Traffic. Transportation Research Record Journal of the Transportation Research Board. 2678(2). 118–134. 6 indexed citations
7.
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
8.
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
9.
Raju, Narayana, et al.. (2021). Modeling vehicle collision instincts over road midblock using deep learning. Journal of Intelligent Transportation Systems. 27(2). 257–271. 11 indexed citations
10.
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
11.
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
12.
Easa, Said M., et al.. (2021). Intersection Sight Distance Characteristics of Turbo Roundabouts. Designs. 5(1). 16–16. 3 indexed citations
13.
Easa, Said M., et al.. (2020). Reliability Analysis of Intersection Sight Distance at Roundabouts. Infrastructures. 5(8). 67–67. 11 indexed citations
14.
Gore, Ninad, et al.. (2019). Investigation of traffic conflicts at unsignalized intersection for reckoning crash probability under mixed traffic conditions. Journal of the Eastern Asia Society for transportation studies. 13. 2091–2110. 30 indexed citations
15.
Lim, Aaron G., et al.. (2019). An open source framework for GTFS data analytics: Case study using the Brisbane TransLink network. QUT ePrints (Queensland University of Technology). 4 indexed citations
16.
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
17.
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
18.
Raju, Narayana, et al.. (2017). Examining Smoothening Techniques for Developing Vehicular Trajectory Data under Heterogeneous Conditions. Journal of the Eastern Asia Society for transportation studies. 10 indexed citations
19.
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
20.
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

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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