Parul Pandey
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Co-authors
- Dario PompiliTuyen X. TranAbolfazl HajisamiJingang YiHariharasudhan ViswanathanMehdi RahmatiEun Kyung LeeBaozhi Chen
- Topics
- Underwater Vehicles and Communication Systems (6 papers)IoT and Edge/Fog Computing (5 papers)Indoor and Outdoor Localization Technologies (4 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- IEEE Communications MagazineIEEE Transactions on Mobile ComputingIEEE Journal of Oceanic Engineering
- Partner nations
- United StatesNetherlands
In The Last Decade
Parul Pandey
17 papers receiving 817 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Networks and Communications 650
- Electrical and Electronic Engineering 330
- Information Systems 193
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 96
Countries citing papers authored by Parul Pandey
This map shows the geographic impact of Parul Pandey'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 Parul Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parul Pandey more than expected).
Fields of papers citing papers by Parul Pandey
This network shows the impact of papers produced by Parul Pandey. 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 Parul Pandey. The network helps show where Parul Pandey may publish in the future.
Co-authorship network of co-authors of Parul Pandey
This figure shows the co-authorship network connecting the top 25 collaborators of Parul Pandey. A scholar is included among the top collaborators of Parul Pandey 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 Parul Pandey. Parul Pandey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challengesbreakdown → | 684 |
| 8 | 16 | |
| 9 | 14 | |
| 10 | 36 | |
| 11 | 11 | |
| 12 | 22 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 4 |
About Parul Pandey
Parul Pandey is a scholar working on Ocean Engineering, Computer Networks and Communications and Oceanography, having authored 17 papers that have together received 839 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (6 papers), IoT and Edge/Fog Computing (5 papers) and Indoor and Outdoor Localization Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (650 citations), Information Systems (193 citations) and Computer Vision and Pattern Recognition (144 citations). Parul Pandey has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Dario Pompili, Tuyen X. Tran, Abolfazl Hajisami, Jingang Yi, Hariharasudhan Viswanathan, Mehdi Rahmati, Eun Kyung Lee, Baozhi Chen, Waheed U. Bajwa and Roberto Tron. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Mobile Computing and IEEE Journal of Oceanic Engineering.
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.