Swati Rallapalli
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Co-authors
- Lili QiuYi‐Chao ChenYin Zhang⋆Kevin ChanThomas La PortaK. K. RamakrishnanZongqing LuApurv Bhartia
- Topics
- Advanced Neural Network Applications (6 papers)Auction Theory and Applications (6 papers)Human Mobility and Location-Based Analysis (5 papers)
- Cited by
- Computer Networks and CommunicationsComputer Science ApplicationsComputer Vision and Pattern Recognition
- Journals
- IEEE/ACM Transactions on NetworkingFuture Generation Computer SystemsIEEE Transactions on Mobile Computing
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Swati Rallapalli
23 papers receiving 538 citations
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 269
- Computer Networks and Communications 238
- Computer Vision and Pattern Recognition 139
- Artificial Intelligence 81
- Management Science and Operations Research 53
Countries citing papers authored by Swati Rallapalli
This map shows the geographic impact of Swati Rallapalli'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 Swati Rallapalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swati Rallapalli more than expected).
Fields of papers citing papers by Swati Rallapalli
This network shows the impact of papers produced by Swati Rallapalli. 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 Swati Rallapalli. The network helps show where Swati Rallapalli may publish in the future.
Co-authorship network of co-authors of Swati Rallapalli
This figure shows the co-authorship network connecting the top 25 collaborators of Swati Rallapalli. A scholar is included among the top collaborators of Swati Rallapalli 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 Swati Rallapalli. Swati Rallapalli 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 | 18 | |
| 3 | 14 | |
| 4 | 28 | |
| 5 | 50 | |
| 6 | 36 | |
| 7 | 9 | |
| 8 | Are Very Deep Neural Networks Feasible on Mobile Devices | 17 |
| 9 | 27 | |
| 10 | 21 | |
| 11 | 68 | |
| 12 | 0 | |
| 13 | 42 | |
| 14 | 20 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 51 | |
| 20 | 91 |
About Swati Rallapalli
Swati Rallapalli is a scholar working on Transportation, Management Science and Operations Research and Media Technology, having authored 24 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Auction Theory and Applications (6 papers) and Human Mobility and Location-Based Analysis (5 papers). The work is most often cited by research in Computer Networks and Communications (238 citations), Computer Science Applications (39 citations) and Computer Vision and Pattern Recognition (139 citations). Swati Rallapalli has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Lili Qiu, Yi‐Chao Chen, Yin Zhang⋆, Kevin Chan, Thomas La Porta, K. K. Ramakrishnan, Zongqing Lu, Apurv Bhartia, Venkat Padmanabhan and Krishna Chintalapudi. Their work appears in journals such as IEEE/ACM Transactions on Networking, Future Generation Computer Systems and IEEE Transactions on Mobile Computing.
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.