S. L. Dhingra

762 total citations
36 papers, 570 citations indexed

About

S. L. Dhingra is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, S. L. Dhingra has authored 36 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Transportation, 21 papers in Building and Construction and 14 papers in Control and Systems Engineering. Recurrent topics in S. L. Dhingra's work include Transportation Planning and Optimization (28 papers), Traffic control and management (14 papers) and Traffic Prediction and Management Techniques (13 papers). S. L. Dhingra is often cited by papers focused on Transportation Planning and Optimization (28 papers), Traffic control and management (14 papers) and Traffic Prediction and Management Techniques (13 papers). S. L. Dhingra collaborates with scholars based in India, United States and Italy. S. L. Dhingra's co-authors include Ashish Verma, P K Sikdar, Prabhat Shrivastava, Tom V. Mathew, Bhargab Maitra, Snehamay Khasnabis, Sabyasachee Mishra, K. V. Krishna Rao, P. P. Mujumdar and Sina Borzooei and has published in prestigious journals such as Transportation Research Record Journal of the Transportation Research Board, Computers Environment and Urban Systems and Computer-Aided Civil and Infrastructure Engineering.

In The Last Decade

S. L. Dhingra

32 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. L. Dhingra India	15	429	253	199	189	82	36	570
Seungkyu Ryu South Korea	15	685 1.6×	178 0.7×	280 1.4×	228 1.2×	34 0.4×	44	835
Yanshuo Sun United States	14	463 1.1×	214 0.8×	61 0.3×	168 0.9×	81 1.0×	37	601
Shaopeng Zhong China	12	285 0.7×	165 0.7×	87 0.4×	161 0.9×	67 0.8×	32	484
Eric C. van Berkum Netherlands	10	280 0.7×	108 0.4×	130 0.7×	115 0.6×	48 0.6×	69	378
Katharine Hunter-Zaworski United States	8	538 1.3×	183 0.7×	123 0.6×	170 0.9×	31 0.4×	33	677
S. K. Jason Chang Taiwan	11	395 0.9×	108 0.4×	72 0.4×	304 1.6×	64 0.8×	29	530
Ben Immers Belgium	11	344 0.8×	111 0.4×	192 1.0×	132 0.7×	35 0.4×	50	449
Feng Shi China	14	409 1.0×	177 0.7×	151 0.8×	123 0.7×	143 1.7×	54	509
Alireza Khani United States	17	772 1.8×	273 1.1×	139 0.7×	419 2.2×	139 1.7×	52	921
Neema Nassir Australia	15	650 1.5×	284 1.1×	117 0.6×	328 1.7×	52 0.6×	58	869

Countries citing papers authored by S. L. Dhingra

Since Specialization

Citations

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

Fields of papers citing papers by S. L. Dhingra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. L. Dhingra. 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 S. L. Dhingra. The network helps show where S. L. Dhingra may publish in the future.

Co-authorship network of co-authors of S. L. Dhingra

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

All Works

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20 of 20 papers shown

Kumar, Awkash, et al.. (2018). PREDICTION AND ANALYSIS OF POLLUTION AND CONGESTION LEVEL FOR PRESENT AND FUTURE SCENARIO ON AN URBAN ROAD NETWORK- INDIA. International Journal for Traffic and Transport Engineering. 8(2). 213–22. 5 indexed citations

Rao, K. V. Krishna, et al.. (2016). Fuel Consumption Monitoring for Travel Demand Modeling. Transportation research procedia. 17. 703–712. 3 indexed citations

Khasnabis, Snehamay, et al.. (2010). Mechanisms for Transportation Infrastructure Investment in Developing Countries. Journal of Urban Planning and Development. 136(1). 94–103. 22 indexed citations

Dhingra, S. L., et al.. (2008). Traffic Flow Theory Historical Research Perspectives. Transportation research circular. 7 indexed citations

Dhingra, S. L., et al.. (2008). Emerging Private-Sector Roles for Transportation Asset Management in India. Transportation Research Board 87th Annual MeetingTransportation Research Board. 1 indexed citations

Mathew, Tom V., et al.. (2008). Heterogeneous traffic flow modelling for an arterial using grid based approach. Journal of Advanced Transportation. 42(4). 467–491. 51 indexed citations

Sharma, Sushant, et al.. (2007). Simulating Bus Priority System for an Urban Corridor in Mumbai City. 11th World Conference on Transport ResearchWorld Conference on Transport Research Society. 1 indexed citations

Shrivastava, Prabhat & S. L. Dhingra. (2006). Operational Integration of Suburban Railway and Public Buses—Case Study of Mumbai. Journal of Transportation Engineering. 132(6). 518–522. 7 indexed citations

Verma, Ashish & S. L. Dhingra. (2006). Developing Integrated Schedules for Urban Rail and Feeder Bus Operation. Journal of Urban Planning and Development. 132(3). 138–146. 37 indexed citations

10.

Mathew, Tom V., et al.. (2005). Methodology for finding optimum cell size for a grid based cellular automata traffic flow model. OpenstarTs (Univeristy of Trieste https://www.units.it/). 71–79. 1 indexed citations

11.

Verma, Ashish & S. L. Dhingra. (2005). Optimal Urban Rail Transit Corridor Identification within Integrated Framework Using Geographical Information System. Journal of Urban Planning and Development. 131(2). 98–111. 24 indexed citations

12.

Maitra, Bhargab, P K Sikdar, & S. L. Dhingra. (2004). Modeling of Congestion: A Tool for Urban Traffic Management in Developing Countries. OpenstarTs (Univeristy of Trieste https://www.units.it/). 45–56. 4 indexed citations

13.

Dhingra, S. L., et al.. (2004). Signal Optimization and Dynamic User Equilibrium Traffic Assignment in Congested Urban Road Network. 1 indexed citations

14.

Mathew, Tom V., et al.. (2004). Heterogeneous Traffic Flow Modelling Using Cellular Automata. 3 indexed citations

15.

Dhingra, S. L., et al.. (2004). Sustainable Transportation Strategy for Mumbai (Bombay) Region Using an Integrated Mass Transit Systems Approach. 201–214. 1 indexed citations

16.

Dhingra, S. L., et al.. (2004). Dynamic User Equilibrium Traffic Assignment on Congested Multidestination Network. Journal of Transportation Engineering. 130(2). 211–221. 10 indexed citations

17.

Rao, K. Sankara, Bhargab Maitra, P K Sikdar, & S. L. Dhingra. (2002). ESTIMATION OF TRAFFIC AND TOLL SENSITIVITY FOR A PROPOSED MAJOR URBAN TRANSPORT INFRASTRUCTURE - A CASE OF BWSL, MUMBAI. 63(1). 1 indexed citations

18.

Sikdar, P K, et al.. (1998). Micro-simulation of residential location choice and its variation. Computers Environment and Urban Systems. 22(3). 203–218. 16 indexed citations

19.

Sikdar, P K, et al.. (1996). Modelling mode choice by means of an artificial neural network. Environment and Planning B Planning and Design. 23(6). 677–683. 5 indexed citations

20.

Dhingra, S. L., et al.. (1993). Application of time series techniques for forecasting truck traffic attracted by the Bombay metropolitan region. Journal of Advanced Transportation. 27(3). 227–249. 14 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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