Narayana Raju
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- Traffic and Road Safety 19
- Transportation top 5%
- Transportation Planning and Optimization 12
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- Traffic control and management 30
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety 7
- Vehicle emissions and performance 2
- Transportation and Mobility Innovations 2
- Building and Construction top 5%
- Traffic Prediction and Management Techniques 22
- Smart Parking Systems Research 2
- Co-authors
- Shriniwas ArkatkarGaurang JoshiHaneen FarahSaid M. EasaAayush JainSanhita DasAkhilesh Kumar MauryaWouter Schakel
- Partner nations
- IndiaNetherlandsCanada
In The Last Decade
Narayana Raju
33 papers receiving 311 citations
Peers
Comparison fields: 5 of 37
- Safety, Risk, Reliability and Quality 174
- Transportation 116
- Control and Systems Engineering 255
- Automotive Engineering 130
- Building and Construction 132
Countries citing papers authored by Narayana Raju
This map shows the geographic impact of Narayana Raju'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 Narayana Raju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narayana Raju more than expected).
Fields of papers citing papers by Narayana Raju
This network shows the impact of papers produced by Narayana Raju. 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 Narayana Raju. The network helps show where Narayana Raju may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Narayana Raju, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 11 | |
| 8 | Addressing Challenges of Modeling Mixed Traffic Through Machine Learning Supported with Vehicular Trajectory Data | 2021 | 1 |
| 9 | 2021 | 15 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 14 | |
| 13 | Experiences of Supervised Machine Learning to Replicate Driving Behavior Under Traffic Environment | 2019 | 2 |
| 14 | 2019 | 2 | |
| 15 | Examining Performance of an Urban Corridor Using Microscopic Traffic Simulation Model under Mixed Traffic Environment in India | 2018 | 3 |
| 16 | 2018 | 7 | |
| 17 | 2018 | 6 | |
| 18 | Calibration of Vehicle Following Models Using Trajectory Data Under Heterogeneous Traffic Conditions | 2017 | 9 |
| 19 | Examining Smoothening Techniques for Developing Vehicular Trajectory Data under Heterogeneous Conditions | 2017 | 10 |
| 20 | 2017 | 1 |
About Narayana Raju
Narayana Raju is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Building and Construction, having authored 35 papers that have together received 321 indexed citations. Recurring topics across this work include Traffic control and management (30 papers), Traffic Prediction and Management Techniques (22 papers), Traffic and Road Safety (19 papers), Transportation Planning and Optimization (12 papers), Autonomous Vehicle Technology and Safety (7 papers), Vehicle emissions and performance (2 papers), Smart Parking Systems Research (2 papers) and Transportation and Mobility Innovations (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (174 citations), Transportation (116 citations) and Control and Systems Engineering (255 citations). Narayana Raju has collaborated with scholars based in India, Netherlands and Canada. Frequent co-authors include Shriniwas Arkatkar, Gaurang Joshi, Haneen Farah, Said M. Easa, Aayush Jain, Sanhita Das, Akhilesh Kumar Maurya, Wouter Schakel, Johan Olstam and Constantinos Antoniou.
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.