Ch. Ravi Sekhar
- Transportation top 2%
- Building and Construction top 5%
- Automotive Engineering top 10%
- Economics and Econometrics
- Control and Systems Engineering
- Co-authors
- Manoranjan ParidaAnkit KathuriaAnshuman SharmaS GangopadhyayS. VelmuruganReiko AbeMadhu ErrampalliSatish Chandra
- Topics
- Transportation Planning and Optimization (15 papers)Urban Transport and Accessibility (12 papers)Traffic Prediction and Management Techniques (7 papers)
- Journals
- Transportation Research Part D Transport and EnvironmentJournal of Transport GeographyTunnelling and Underground Space Technology
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Ch. Ravi Sekhar
22 papers receiving 349 citations
Peers
Comparison fields: 5 of 72
- Transportation 268
- Building and Construction 113
- Automotive Engineering 69
- Economics and Econometrics 41
- Control and Systems Engineering 37
Countries citing papers authored by Ch. Ravi Sekhar
This map shows the geographic impact of Ch. Ravi Sekhar'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 Ch. Ravi Sekhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ch. Ravi Sekhar more than expected).
Fields of papers citing papers by Ch. Ravi Sekhar
This network shows the impact of papers produced by Ch. Ravi Sekhar. 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 Ch. Ravi Sekhar. The network helps show where Ch. Ravi Sekhar may publish in the future.
Co-authorship network of co-authors of Ch. Ravi Sekhar
This figure shows the co-authorship network connecting the top 25 collaborators of Ch. Ravi Sekhar. A scholar is included among the top collaborators of Ch. Ravi Sekhar 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 Ch. Ravi Sekhar. Ch. Ravi Sekhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 60 | |
| 6 | 13 | |
| 7 | Examining Walk Access to BRT Stations: A Case Study of Ahmedabad BRTS | 6 |
| 8 | 10 | |
| 9 | 31 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | Examining Bus Dwell Time And Bus Lost Time Dynamics For a Bus Rapid Transit System | 1 |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 71 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | 52 | |
| 19 | 24 | |
| 20 | CNG exhausts emission modeling: Neural network approach | 1 |
About Ch. Ravi Sekhar
Ch. Ravi Sekhar is a scholar working on Transportation, Building and Construction and Automotive Engineering, having authored 22 papers that have together received 368 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (15 papers), Urban Transport and Accessibility (12 papers) and Traffic Prediction and Management Techniques (7 papers). The work is most often cited by research in Transportation (268 citations), Building and Construction (113 citations) and Automotive Engineering (69 citations). Ch. Ravi Sekhar has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Manoranjan Parida, Ankit Kathuria, Anshuman Sharma, S Gangopadhyay, S. Velmurugan, Reiko Abe, Madhu Errampalli, Satish Chandra and Subhrendu Gangopadhyay. Their work appears in journals such as Transportation Research Part D Transport and Environment, Journal of Transport Geography and Tunnelling and Underground Space Technology.
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.