Ramya Raghavendra
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Hardware and Architecture top 5%
- Co-authors
- Vanish TalwarZhikui WangXiaoyun ZhuParthasarathy RanganathanRatul MahajanThomas MoscibrodaParamvir BahlRanveer Chandra
- Topics
- Wireless Networks and Protocols (14 papers)Mobile Ad Hoc Networks (10 papers)Cloud Computing and Resource Management (9 papers)
- Journals
- Journal of Machine Learning ResearchIEEE/ACM Transactions on NetworkingACM SIGCOMM Computer Communication Review
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Ramya Raghavendra
42 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Networks and Communications 1.1k
- Information Systems 654
- Electrical and Electronic Engineering 512
- Artificial Intelligence 265
- Hardware and Architecture 232
Countries citing papers authored by Ramya Raghavendra
This map shows the geographic impact of Ramya Raghavendra'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 Ramya Raghavendra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Raghavendra more than expected).
Fields of papers citing papers by Ramya Raghavendra
This network shows the impact of papers produced by Ramya Raghavendra. 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 Ramya Raghavendra. The network helps show where Ramya Raghavendra may publish in the future.
Co-authorship network of co-authors of Ramya Raghavendra
This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Raghavendra. A scholar is included among the top collaborators of Ramya Raghavendra 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 Ramya Raghavendra. Ramya Raghavendra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 9 | |
| 3 | Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies. | 3 |
| 4 | AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models | 37 |
| 5 | 13 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 246 | |
| 11 | 60 | |
| 12 | 10 | |
| 13 | Characterizing high-bandwidth real-time video traffic in residential broadband networks | 6 |
| 14 | 26 | |
| 15 | 4 | |
| 16 | Wi-Fi Networks are Underutilized | 18 |
| 17 | 151 | |
| 18 | 14 | |
| 19 | 195 | |
| 20 | 14 |
About Ramya Raghavendra
Ramya Raghavendra is a scholar working on Health Informatics, Computer Networks and Communications and Hardware and Architecture, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (14 papers), Mobile Ad Hoc Networks (10 papers) and Cloud Computing and Resource Management (9 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Hardware and Architecture (232 citations) and Information Systems (654 citations). Ramya Raghavendra has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Vanish Talwar, Zhikui Wang, Xiaoyun Zhu, Parthasarathy Ranganathan, Ratul Mahajan, Thomas Moscibroda, Paramvir Bahl, Ranveer Chandra, Elizabeth Belding and Mudhakar Srivatsa. Their work appears in journals such as Journal of Machine Learning Research, IEEE/ACM Transactions on Networking and ACM SIGCOMM Computer Communication 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.