Rajesh Mahindra
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Media Technology top 10%
- Co-authors
- Sampath RangarajanRavi KokkuHonghai ZhangTao GuoXavier Costa‐PérezKarthik SundaresanIvan SeskarDipankar Raychaudhuri
- Topics
- Caching and Content Delivery (8 papers)Software-Defined Networks and 5G (8 papers)Advanced Wireless Network Optimization (6 papers)
- Partner nations
- United StatesCyprusIndia
In The Last Decade
Rajesh Mahindra
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 984
- Electrical and Electronic Engineering 684
- Computer Vision and Pattern Recognition 111
- Signal Processing 59
- Media Technology 51
Countries citing papers authored by Rajesh Mahindra
This map shows the geographic impact of Rajesh Mahindra'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 Rajesh Mahindra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Mahindra more than expected).
Fields of papers citing papers by Rajesh Mahindra
This network shows the impact of papers produced by Rajesh Mahindra. 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 Rajesh Mahindra. The network helps show where Rajesh Mahindra may publish in the future.
Co-authorship network of co-authors of Rajesh Mahindra
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Mahindra. A scholar is included among the top collaborators of Rajesh Mahindra 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 Rajesh Mahindra. Rajesh Mahindra 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 | 5 | |
| 3 | 36 | |
| 4 | 57 | |
| 5 | 75 | |
| 6 | 1 | |
| 7 | 103 | |
| 8 | 99 | |
| 9 | 213 | |
| 10 | 70 | |
| 11 | 9 | |
| 12 | 253 | |
| 13 | 2 | |
| 14 | 51 | |
| 15 | 1 | |
| 16 | 53 | |
| 17 | 15 | |
| 18 | 35 | |
| 19 | 6 | |
| 20 | 2 |
About Rajesh Mahindra
Rajesh Mahindra is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Caching and Content Delivery (8 papers), Software-Defined Networks and 5G (8 papers) and Advanced Wireless Network Optimization (6 papers). The work is most often cited by research in Computer Networks and Communications (984 citations), Electrical and Electronic Engineering (684 citations) and Media Technology (51 citations). Rajesh Mahindra has collaborated with scholars based in United States, Cyprus and India. Frequent co-authors include Sampath Rangarajan, Ravi Kokku, Honghai Zhang, Tao Guo, Xavier Costa‐Pérez, Karthik Sundaresan, Ivan Seskar, Dipankar Raychaudhuri, Gautam Bhanage and Mung Chiang. Their work appears in journals such as IEEE Communications Magazine and IEEE/ACM Transactions on Networking.
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.