Renu Popli
Impact in
-
- Energy Efficient Wireless Sensor Networks
- Network Security and Intrusion Detection
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Opportunistic and Delay-Tolerant Networks 4
-
- Image Enhancement Techniques 3
- Face recognition and analysis 3
- Co-authors
- Isha Kansal (21 shared papers)Nitin Goyal (4 shared papers)Rajeev Kumar (13 shared papers)Vikas Khullar (9 shared papers)Ashutosh Sharma (6 shared papers)Sourabh Shastri (1 shared paper)Vibhakar Mansotra (1 shared paper)Kuljeet Singh (1 shared paper)
In The Last Decade
Renu Popli
22 papers receiving 243 citations
Peers
Comparison fields: 5 of 57
- Computer Networks and Communications 57
- Radiology, Nuclear Medicine and Imaging 46
- Ocean Engineering 34
- Computer Vision and Pattern Recognition 41
- Artificial Intelligence 56
Countries citing papers authored by Renu Popli
This map shows the geographic impact of Renu Popli'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 Renu Popli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renu Popli more than expected).
Fields of papers citing papers by Renu Popli
This network shows the impact of papers produced by Renu Popli. 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 Renu Popli. The network helps show where Renu Popli may publish in the future.
Co-authors
The 25 scholars most cited alongside Renu Popli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 41 | |
| 2 | 2021 | 26 | |
| 3 | 2024 | 25 | |
| 4 | 2022 | 23 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2024 | 16 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Renu Popli
Renu Popli is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 254 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (4 papers), Water Quality Monitoring Technologies (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), AI in cancer detection (3 papers), Image Enhancement Techniques (3 papers), Face recognition and analysis (3 papers), COVID-19 diagnosis using AI (3 papers) and Underwater Vehicles and Communication Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (57 citations), Radiology, Nuclear Medicine and Imaging (46 citations), Ocean Engineering (34 citations), Computer Vision and Pattern Recognition (41 citations) and Artificial Intelligence (56 citations). Renu Popli has collaborated with scholars based in India, China and Nepal. Frequent co-authors include Isha Kansal, Nitin Goyal, Rajeev Kumar, Vikas Khullar, Ashutosh Sharma, Sourabh Shastri, Vibhakar Mansotra, Kuljeet Singh, Gunjan Chhabra and Preet Kaur. Their work appears in journals such as Sustainability, Multimedia Tools and Applications, Fire, Buildings and The Imaging Science Journal.
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.