R. Jayakrishnan

4.0k total citations
141 papers, 3.0k citations indexed

About

R. Jayakrishnan is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, R. Jayakrishnan has authored 141 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Transportation, 69 papers in Building and Construction and 65 papers in Control and Systems Engineering. Recurrent topics in R. Jayakrishnan's work include Transportation Planning and Optimization (101 papers), Traffic control and management (64 papers) and Traffic Prediction and Management Techniques (58 papers). R. Jayakrishnan is often cited by papers focused on Transportation Planning and Optimization (101 papers), Traffic control and management (64 papers) and Traffic Prediction and Management Techniques (58 papers). R. Jayakrishnan collaborates with scholars based in United States, South Korea and India. R. Jayakrishnan's co-authors include Hani S. Mahmassani, Neda Masoud, Ta‐Yin Hu, Anthony Chen, Jun-Seok Oh, Cristián E. Cortés, Stephen G. Ritchie, Ji Young Park, Hyunmyung Kim and W.T. Tsai and has published in prestigious journals such as Sensors, Sustainability and Transportation Research Part C Emerging Technologies.

In The Last Decade

R. Jayakrishnan

139 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Jayakrishnan United States 27 2.1k 1.3k 1.3k 1.2k 291 141 3.0k
Xuegang Ban United States 33 2.4k 1.1× 1.7k 1.2× 2.2k 1.8× 1.9k 1.5× 158 0.5× 137 4.2k
Yu Nie United States 39 3.2k 1.5× 2.3k 1.7× 1.4k 1.1× 1.1k 0.9× 344 1.2× 161 4.3k
Stephen D. Boyles United States 27 1.6k 0.8× 1.3k 1.0× 1.4k 1.1× 810 0.7× 95 0.3× 129 2.5k
Klaus Bogenberger Germany 25 1.5k 0.7× 1.6k 1.2× 744 0.6× 1.1k 0.9× 552 1.9× 244 2.6k
Sean Qian United States 35 2.4k 1.1× 1.7k 1.3× 1.3k 1.1× 2.1k 1.8× 153 0.5× 118 4.3k
Francesco Viti Luxembourg 24 1.6k 0.7× 674 0.5× 1.0k 0.8× 911 0.8× 76 0.3× 181 2.1k
Will Recker United States 34 2.2k 1.0× 956 0.7× 1.1k 0.9× 1.2k 1.0× 48 0.2× 121 2.9k
Tomer Toledo Israel 39 2.3k 1.1× 1.6k 1.2× 2.0k 1.6× 1.2k 1.0× 61 0.2× 117 4.3k
Zuduo Zheng Australia 42 2.0k 0.9× 2.3k 1.7× 3.1k 2.5× 1.6k 1.3× 95 0.3× 120 4.9k
Jintao Ke Hong Kong 26 2.5k 1.2× 1.8k 1.3× 552 0.4× 1.7k 1.4× 802 2.8× 67 3.6k

Countries citing papers authored by R. Jayakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by R. Jayakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Jayakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of R. Jayakrishnan. A scholar is included among the top collaborators of R. Jayakrishnan 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 R. Jayakrishnan. R. Jayakrishnan 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.
Jayakrishnan, R., et al.. (2023). Reinforcement Learning Technique Based Automated Feature Analysis of Gene Expression Data. 1855–1860. 1 indexed citations
2.
Jayakrishnan, R., et al.. (2018). Time-Cost-Risk Optimization in Construction Work by using Ant Colony Algorithm. SSRN Electronic Journal. 7 indexed citations
3.
Saphores, Jean‐Daniel, et al.. (2017). Detecting Changes in Accident Rates Using a Hierarchical Bayesian Approach: An Application to the I-710 and the Implementation of the PierPASS Program. Transportation Research Board 96th Annual MeetingTransportation Research Board. 2 indexed citations
4.
Kim, Hyunmyung, et al.. (2017). A Model Based on Deep Learning for Predicting Travel Mode Choice. Transportation Research Board 96th Annual MeetingTransportation Research Board. 21 indexed citations
5.
Masoud, Neda & R. Jayakrishnan. (2016). Formulations for Optimal Shared Ownership and Use of Autonomous or Driverless Vehicles. Transportation Research Board 95th Annual MeetingTransportation Research Board. 12 indexed citations
6.
Saphores, Jean‐Daniel, et al.. (2014). An Analysis of Air Pollution Impacts from PierPASS in the Alameda Corridor, California. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 1 indexed citations
7.
Saphores, Jean‐Daniel, et al.. (2011). The influence of emissions specific characteristics on vehicle operation: A micro-simulation analysis. 1 indexed citations
8.
Chen, Rex, et al.. (2010). An Empirical Study of Inter-Vehicle Communication Performance Using NS-2. eScholarship (California Digital Library). 2 indexed citations
9.
Lee, Gunwoo, et al.. (2010). Assessing the Environmental and Health Impacts of Port-Related Freight Movement in a Major Urban Transportation Corridor. eScholarship (California Digital Library). 1 indexed citations
10.
Chu, Lianyu, et al.. (2008). Hierarchical Bayesian Estimation of Freeway Travel Time Distributions with Small Samples of Non-Identical Probes in Successive Days. 1 indexed citations
11.
Liu, Henry X., Wenteng Ma, R. Jayakrishnan, & Wilfred W. Recker. (2004). Large-Scale Traffi c Simulation Through Distributed Computing of Paramics. eScholarship (California Digital Library). 5 indexed citations
12.
Jayakrishnan, R., et al.. (2003). High Coverage Point to Point Transit (HCPPT): A New Design Concept and Simulation-Evaluation of Operational Schemes. PATH research report. 13 indexed citations
13.
Jayakrishnan, R., et al.. (1995). RECURSIVE STRUCTURE FOR EXACT LINE PROBABILITIES AND EXPECTED WAITING TIMES IN MULTIPATH TRANSIT ASSIGNMENT. Transportation Research Record Journal of the Transportation Research Board. 178–187. 2 indexed citations
14.
Mahmassani, Hani S., et al.. (1995). Dynamic Traffic Assignment and Simulation for Advanced Network Informatics (DYNASMART). Springer eBooks. 51 indexed citations
15.
Jayakrishnan, R., et al.. (1994). A FASTER PATH-BASED ALGORITHM FOR TRAFFIC ASSIGNMENT. Transportation Research Record Journal of the Transportation Research Board. 144 indexed citations
16.
McNally, Michael G., R. Jayakrishnan, & Michael Cohen. (1993). Simulation of ATIS Strategies to Mitigate Special Event Congestion. 583–590. 1 indexed citations
17.
Jayakrishnan, R.. (1993). A Simulation-based Framework For The Analysis Of Traffic Networks Operating With Real-time Information. eScholarship (California Digital Library). 7 indexed citations
18.
Jayakrishnan, R., et al.. (1993). User-friendly simulation model for traffic networks with ATIS/ATMS. 833–840. 2 indexed citations
19.
Jayakrishnan, R., Michael G. McNally, & Michael Cohen. (1993). Simulation of Advanced Traveller Information Systems (ATIS) Strategies to Reduce Non-Recurring Congestion from Special Events. eScholarship (California Digital Library). 1 indexed citations
20.
Jayakrishnan, R. & Hani S. Mahmassani. (1990). Dynamic simulation-assignment methodology to evaluate in-vehicle information strategies in urban traffic networks. Winter Simulation Conference. 763–769. 7 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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