Preeti Rani
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Rohit SharmaSatya Prakash YadavAhmed AlkhayyatJanjhyam Venkata Naga RameshVinod KumarDeepika KoundalArwa N. AledailyKusum Yadav
- Topics
- Vehicular Ad Hoc Networks (VANETs) (7 papers)IoT and Edge/Fog Computing (6 papers)Energy Efficient Wireless Sensor Networks (3 papers)
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- IEEE Sensors JournalMultimedia Tools and ApplicationsIEEE Transactions on Consumer Electronics
- Partner nations
- IndiaIraqSaudi Arabia
In The Last Decade
Preeti Rani
17 papers receiving 489 citations
Peers
Comparison fields: 5 of 52
- Computer Networks and Communications 235
- Electrical and Electronic Engineering 122
- Information Systems 121
- Artificial Intelligence 89
- Computer Vision and Pattern Recognition 88
Countries citing papers authored by Preeti Rani
This map shows the geographic impact of Preeti Rani'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 Preeti Rani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preeti Rani more than expected).
Fields of papers citing papers by Preeti Rani
This network shows the impact of papers produced by Preeti Rani. 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 Preeti Rani. The network helps show where Preeti Rani may publish in the future.
Co-authorship network of co-authors of Preeti Rani
This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Rani. A scholar is included among the top collaborators of Preeti Rani 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 Preeti Rani. Preeti Rani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 30 | |
| 4 | 34 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 49 | |
| 9 | 12 | |
| 10 | 16 | |
| 11 | 39 | |
| 12 | 15 | |
| 13 | 37 | |
| 14 | 50 | |
| 15 | 33 | |
| 16 | 103 | |
| 17 | 16 | |
| 18 | 44 |
About Preeti Rani
Preeti Rani is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems, having authored 18 papers that have together received 496 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (7 papers), IoT and Edge/Fog Computing (6 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (235 citations), Information Systems (121 citations) and Computer Vision and Pattern Recognition (88 citations). Preeti Rani has collaborated with scholars based in India, Iraq and Saudi Arabia. Frequent co-authors include Rohit Sharma, Rohit Sharma, Satya Prakash Yadav, Ahmed Alkhayyat, Janjhyam Venkata Naga Ramesh, Vinod Kumar, Deepika Koundal, Arwa N. Aledaily, Kusum Yadav and Bipin Kumar. Their work appears in journals such as IEEE Sensors Journal, Multimedia Tools and Applications and IEEE Transactions on Consumer Electronics.
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.