S. Indu
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- Handwritten Text Recognition Techniques 16
- Video Surveillance and Tracking Methods 12
- Image and Signal Denoising Methods 11
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- Energy Efficient Wireless Sensor Networks 15
- Security in Wireless Sensor Networks 10
- Animal Science and Zoology top 5%
- Media Technology top 5%
- Vehicle License Plate Recognition 10
- Signal Processing top 10%
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- Autonomous Vehicle Technology and Safety 9
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- Energy Harvesting in Wireless Networks 8
- Co-authors
- Daya GuptaVeerasamy SejianS. M. K. NaqviSantanu ChaudhuryChhavi DhimanDivyashikha SethiaManjari GuptaLava Bhargava
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsAnimal Science and Zoology
- Journals
- Wireless Personal Communications (4 papers)Multimedia Tools and Applications (4 papers)Computing (2 papers)
- Partner nations
- IndiaUnited StatesIreland
In The Last Decade
S. Indu
124 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 316
- Computer Networks and Communications 277
- Animal Science and Zoology 101
- Media Technology 82
- Signal Processing 74
Countries citing papers authored by S. Indu
This map shows the geographic impact of S. Indu'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 S. Indu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Indu more than expected).
Fields of papers citing papers by S. Indu
This network shows the impact of papers produced by S. Indu. 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 S. Indu. The network helps show where S. Indu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. Indu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 32 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 24 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 45 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 1 | |
| 17 | 2016 | 17 | |
| 18 | Optimized sentiment analysis tool: A sentiment analysis tool to study cognitive inclinations | 2016 | 0 |
| 19 | 2013 | 5 | |
| 20 | Session IV.C: Image Processing A Noise Fading Technique for Images Highly Corrupted with Impulse Noise. | 2007 | 2 |
About S. Indu
S. Indu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computer Networks and Communications, Signal Processing and Automotive Engineering, having authored 137 papers that have together received 1.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (16 papers), Energy Efficient Wireless Sensor Networks (15 papers), Video Surveillance and Tracking Methods (12 papers), Image and Signal Denoising Methods (11 papers), Vehicle License Plate Recognition (10 papers), Security in Wireless Sensor Networks (10 papers), Autonomous Vehicle Technology and Safety (9 papers) and Energy Harvesting in Wireless Networks (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Computer Networks and Communications (277 citations), Animal Science and Zoology (101 citations), Media Technology (82 citations) and Signal Processing (74 citations). S. Indu has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include Daya Gupta, Veerasamy Sejian, S. M. K. Naqvi, Santanu Chaudhury, Chhavi Dhiman, Divyashikha Sethia, Manjari Gupta, Lava Bhargava, Rajeshwari Pandey and Neeta Pandey. Their work appears in journals such as Wireless Personal Communications, Multimedia Tools and Applications, Computing, Alexandria Engineering Journal and 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.