Rijurekha Sen
- Electrical and Electronic Engineering top 5%
- Ocean Engineering top 1%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Venkata N. PadmanabhanAnshul RaiKrishna ChintalapudiBhaskaran RamanRajesh Krishna BalanBobby BhattacharjeePeter DruschelKasthuri Jayarajah
- Topics
- Human Mobility and Location-Based Analysis (9 papers)Advanced Neural Network Applications (8 papers)Traffic Prediction and Management Techniques (8 papers)
- Journals
- PLoS ONEACM SIGCOMM Computer Communication ReviewACM SIGMETRICS Performance Evaluation Review
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Rijurekha Sen
37 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Electrical and Electronic Engineering 925
- Ocean Engineering 417
- Signal Processing 317
- Computer Vision and Pattern Recognition 262
- Computer Networks and Communications 246
Countries citing papers authored by Rijurekha Sen
This map shows the geographic impact of Rijurekha Sen'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 Rijurekha Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rijurekha Sen more than expected).
Fields of papers citing papers by Rijurekha Sen
This network shows the impact of papers produced by Rijurekha Sen. 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 Rijurekha Sen. The network helps show where Rijurekha Sen may publish in the future.
Co-authorship network of co-authors of Rijurekha Sen
This figure shows the co-authorship network connecting the top 25 collaborators of Rijurekha Sen. A scholar is included among the top collaborators of Rijurekha Sen 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 Rijurekha Sen. Rijurekha Sen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints | 2 |
| 11 | 14 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 22 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | Intelligent Transport Systems for Indian Cities. | 15 |
| 18 | Zeebreakdown → | 862 |
| 19 | 44 | |
| 20 | 3 |
About Rijurekha Sen
Rijurekha Sen is a scholar working on Transportation, Computer Science Applications and Building and Construction, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (9 papers), Advanced Neural Network Applications (8 papers) and Traffic Prediction and Management Techniques (8 papers). The work is most often cited by research in Computer Science Applications (216 citations), Signal Processing (317 citations) and Transportation (191 citations). Rijurekha Sen has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Venkata N. Padmanabhan, Anshul Rai, Krishna Chintalapudi, Bhaskaran Raman, Rajesh Krishna Balan, Bobby Bhattacharjee, Peter Druschel, Bhaskaran Raman, Kasthuri Jayarajah and Youngki Lee. Their work appears in journals such as PLoS ONE, ACM SIGCOMM Computer Communication Review and ACM SIGMETRICS Performance Evaluation Review.
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.