Renu Vig
Impact in
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- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
- Cognitive Radio Networks and Spectrum Sensing
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Cognitive Radio Networks and Spectrum Sensing 17
- Energy Efficient Wireless Sensor Networks 11
- Wireless Communication Networks Research 10
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- PAPR reduction in OFDM 11
- Co-authors
- Veenu Mangat (7 shared papers)Sunil Agrawal (7 shared papers)Pawan Kapur (5 shared papers)Garima Joshi (10 shared papers)Navin Kumar (8 shared papers)Amol P. Bhondekar (4 shared papers)Preeti Aggarwal (9 shared papers)Jaskirat Kaur (2 shared papers)
- Journals
- Wireless Personal Communications (5 papers)IEEE Sensors Journal (2 papers)Scientific Reports (1 paper)IEEE Access (1 paper)Microsystem Technologies (1 paper)
- Partner nations
- IndiaPakistanUnited States
In The Last Decade
Renu Vig
112 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Computer Networks and Communications 412
- Signal Processing 144
- Human-Computer Interaction 60
- Computer Vision and Pattern Recognition 193
- Media Technology 80
Countries citing papers authored by Renu Vig
This map shows the geographic impact of Renu Vig'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 Vig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renu Vig more than expected).
Fields of papers citing papers by Renu Vig
This network shows the impact of papers produced by Renu Vig. 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 Vig. The network helps show where Renu Vig may publish in the future.
Co-authors
The 25 scholars most cited alongside Renu Vig, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 103 | |
| 2 | 2020 | 98 | |
| 3 | 2018 | 65 | |
| 4 | 2020 | 59 | |
| 5 | Genetic Algorithm Based Node Placement Methodology For Wireless Sensor Networks | 2009 | 56 |
| 6 | 2012 | 45 | |
| 7 | 2011 | 30 | |
| 8 | 2010 | 28 | |
| 9 | 2018 | 27 | |
| 10 | 2015 | 26 | |
| 11 | 1997 | 26 | |
| 12 | 2019 | 26 | |
| 13 | 2007 | 26 | |
| 14 | 2015 | 23 | |
| 15 | 2020 | 23 | |
| 16 | 2011 | 23 | |
| 17 | 2014 | 22 | |
| 18 | 2012 | 21 | |
| 19 | 2011 | 19 | |
| 20 | 2014 | 18 |
About Renu Vig
Renu Vig is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 123 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (17 papers), Energy Efficient Wireless Sensor Networks (11 papers), PAPR reduction in OFDM (11 papers), Web Data Mining and Analysis (10 papers), Wireless Communication Networks Research (10 papers), Aeroelasticity and Vibration Control (8 papers), Advanced Image Fusion Techniques (8 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Computer Networks and Communications (412 citations), Signal Processing (144 citations), Human-Computer Interaction (60 citations), Computer Vision and Pattern Recognition (193 citations) and Media Technology (80 citations). Renu Vig has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Veenu Mangat, Sunil Agrawal, Pawan Kapur, Garima Joshi, Navin Kumar, Amol P. Bhondekar, Preeti Aggarwal, Jaskirat Kaur, Madan Lal Singla and Mukesh Kumar. Their work appears in journals such as Wireless Personal Communications, IEEE Sensors Journal, Scientific Reports, IEEE Access and Microsystem Technologies.
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.