Apurv Bhartia
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Ocean Engineering
- Artificial Intelligence
- Co-authors
- Lili QiuJohn BicketSanjit BiswasYi‐Chao ChenSwati RallapalliEric RoznerEdmund WongMuhammad Owais Khan
- Topics
- Wireless Networks and Protocols (13 papers)Cooperative Communication and Network Coding (8 papers)Advanced MIMO Systems Optimization (8 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaIreland
In The Last Decade
Apurv Bhartia
15 papers receiving 316 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 292
- Electrical and Electronic Engineering 221
- Computer Vision and Pattern Recognition 26
- Ocean Engineering 10
- Artificial Intelligence 9
Countries citing papers authored by Apurv Bhartia
This map shows the geographic impact of Apurv Bhartia'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 Apurv Bhartia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apurv Bhartia more than expected).
Fields of papers citing papers by Apurv Bhartia
This network shows the impact of papers produced by Apurv Bhartia. 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 Apurv Bhartia. The network helps show where Apurv Bhartia may publish in the future.
Co-authorship network of co-authors of Apurv Bhartia
This figure shows the co-authorship network connecting the top 25 collaborators of Apurv Bhartia. A scholar is included among the top collaborators of Apurv Bhartia 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 Apurv Bhartia. Apurv Bhartia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 26 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 58 | |
| 8 | 49 | |
| 9 | WiFi-XL: Extending WiFi to Wide Areas in White Spaces | 4 |
| 10 | 20 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 51 | |
| 14 | 35 | |
| 15 | 20 |
About Apurv Bhartia
Apurv Bhartia is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Infectious Diseases, having authored 15 papers that have together received 333 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (13 papers), Cooperative Communication and Network Coding (8 papers) and Advanced MIMO Systems Optimization (8 papers). The work is most often cited by research in Computer Networks and Communications (292 citations), Electrical and Electronic Engineering (221 citations) and Computer Vision and Pattern Recognition (26 citations). Apurv Bhartia has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Lili Qiu, John Bicket, Sanjit Biswas, Yi‐Chao Chen, Swati Rallapalli, Eric Rozner, Edmund Wong, Muhammad Owais Khan, Yin Zhang⋆ and Tianji Li. Their work appears in journals such as 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.