Madhu Errampalli
- Transportation top 2%
- Building and Construction top 5%
- Control and Systems Engineering top 10%
- Automotive Engineering
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Takamasa AkiyamaAshutosh ArunS. VelmuruganS GangopadhyayMukesh KumarPradip SarkarSatish ChandraKamini Gupta
- Topics
- Transportation Planning and Optimization (20 papers)Traffic control and management (17 papers)Traffic Prediction and Management Techniques (10 papers)
- Journals
- Transportation Research Record Journal of the Transportation Research BoardCurrent ScienceJournal of Advanced Transportation
- Partner nations
- IndiaJapanNetherlands
In The Last Decade
Madhu Errampalli
29 papers receiving 260 citations
Peers
Comparison fields: 5 of 62
- Transportation 180
- Building and Construction 106
- Control and Systems Engineering 92
- Automotive Engineering 54
- Safety, Risk, Reliability and Quality 37
Countries citing papers authored by Madhu Errampalli
This map shows the geographic impact of Madhu Errampalli'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 Madhu Errampalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhu Errampalli more than expected).
Fields of papers citing papers by Madhu Errampalli
This network shows the impact of papers produced by Madhu Errampalli. 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 Madhu Errampalli. The network helps show where Madhu Errampalli may publish in the future.
Co-authorship network of co-authors of Madhu Errampalli
This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Errampalli. A scholar is included among the top collaborators of Madhu Errampalli 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 Madhu Errampalli. Madhu Errampalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | Combined Fuzzy Logic Based Mode Choice and Microscopic Simulation Model for Transport Policy Evaluation | 1 |
| 16 | 0 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | Evaluation of Speed - Flow Characteristics on Indian Highways | 2 |
| 20 | 4 |
About Madhu Errampalli
Madhu Errampalli is a scholar working on Transportation, Building and Construction and Control and Systems Engineering, having authored 34 papers that have together received 285 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (20 papers), Traffic control and management (17 papers) and Traffic Prediction and Management Techniques (10 papers). The work is most often cited by research in Transportation (180 citations), Building and Construction (106 citations) and Automotive Engineering (54 citations). Madhu Errampalli has collaborated with scholars based in India, Japan and Netherlands. Frequent co-authors include Takamasa Akiyama, Ashutosh Arun, S. Velmurugan, S Gangopadhyay, Mukesh Kumar, Pradip Sarkar, Satish Chandra, Kamini Gupta, T. Srinivasa Reddy and Sanjeev Sinha. Their work appears in journals such as Transportation Research Record Journal of the Transportation Research Board, Current Science and Journal of Advanced Transportation.
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.