Rahul Nair

2.0k citations
39 papers · 1.3k indexed · h-index 15
Topics
Transportation Planning and Optimization (23 papers)Transportation and Mobility Innovations (11 papers)Traffic Prediction and Management Techniques (10 papers)

In The Last Decade

Rahul Nair

39 papers receiving 1.2k citations

Peers

Rahul Nair
Comparison fields: 5 of 91
  • Transportation 844
  • Automotive Engineering 569
  • Building and Construction 444
  • Industrial and Manufacturing Engineering 174
  • Control and Systems Engineering 164
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Rahul Nair relative to K. I. Wong Taiwan K. I. Wong's profile →
Citations per field
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Countries citing papers authored by Rahul Nair

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Nair. A scholar is included among the top collaborators of Rahul Nair 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 Rahul Nair. Rahul Nair 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
#WorkIndexed citations
1 1
2 2
3 5
4 63
5 67
6 3
7
Data as a resource: real-time predictive analytics for bus bunching
5
8 56
9
AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data
3
10
Optimizing Dial-a-Ride Services in Maryland
2
11 16
12 14
13 83
14
A Porous Flow Model for Disordered Heterogeneous Traffic Streams
9
15
Relation between Real-Time Data and Hourly Traffic Volume Taking Heavy Vehicles into Consideration
1
16 16
17
Challenges to Effective Arterial Traffic Monitoring: Lessons from the I-95 Corridor Coalition’s Vehicle Probe Project
1
18 13
19 252
20
Assessing service design options and strategies for overcoming barriers in the reorient intermodal freight transport corridor
2

About Rahul Nair

Rahul Nair is a scholar working on Transportation, Building and Construction and Automotive Engineering, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (23 papers), Transportation and Mobility Innovations (11 papers) and Traffic Prediction and Management Techniques (10 papers). The work is most often cited by research in Transportation (844 citations), Automotive Engineering (569 citations) and Building and Construction (444 citations). Rahul Nair has collaborated with scholars based in Ireland, United States and Germany. Frequent co-authors include Elise Miller-Hooks, Ana Bušić, Robert C. Hampshire, Hani S. Mahmassani, Hakob Avetisyan, Francesco Calabrese, Fabio Pinelli, Michele Berlingerio, Marco Luca Sbodio and Nikola Marković. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Transactions on Intelligent Transportation Systems.

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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