Setu Garg
Impact in
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- Image and Signal Denoising Methods
- Currency Recognition and Detection
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
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- Advanced Image Fusion Techniques
Papers in
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- Medical Image Segmentation Techniques 3
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- AI in cancer detection 3
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Shabana Urooj (3 shared papers)Ritu Vijay (3 shared papers)Kiran Kumar Ravulakollu (2 shared papers)Sunil Kumar Mishra (2 shared papers)A. Ambikapathy (1 shared paper)Shivam Singh (1 shared paper)Devraj Singh (1 shared paper)Shahid Khan (1 shared paper)
- Journals
- Scientific Reports (1 paper)International Journal of Information Technology (1 paper)International Journal of Engineering Trends and Technology (1 paper)Lecture notes in networks and systems (1 paper)International Conference on Computing for Sustainable Global Development (1 paper)
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
Setu Garg
8 papers receiving 96 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 43
- Media Technology 14
- Neurology 8
- Artificial Intelligence 26
- Signal Processing 8
Countries citing papers authored by Setu Garg
This map shows the geographic impact of Setu Garg'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 Setu Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Setu Garg more than expected).
Fields of papers citing papers by Setu Garg
This network shows the impact of papers produced by Setu Garg. 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 Setu Garg. The network helps show where Setu Garg may publish in the future.
Co-authors
The 9 scholars most cited alongside Setu Garg, 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 | 2024 | 35 | |
| 2 | 2019 | 33 | |
| 3 | 2024 | 21 | |
| 4 | 2024 | 19 | |
| 5 | Detection of cervical cancer by using thresholding & watershed segmentation | 2015 | 4 |
| 6 | 2025 | 3 | |
| 7 | Rotating Camera Based on Speaker voice | 2013 | 2 |
| 8 | 2017 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 |
About Setu Garg
Setu Garg is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 11 papers that have together received 118 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Web Data Mining and Analysis (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Software System Performance and Reliability (1 paper) and Control and Dynamics of Mobile Robots (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (43 citations), Media Technology (14 citations), Neurology (8 citations), Artificial Intelligence (26 citations) and Signal Processing (8 citations). Setu Garg has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include Shabana Urooj, Ritu Vijay, Kiran Kumar Ravulakollu, Sunil Kumar Mishra, A. Ambikapathy, Shivam Singh, Devraj Singh, Shahid Khan and Shivam Gupta. Their work appears in journals such as Scientific Reports, International Journal of Information Technology, International Journal of Engineering Trends and Technology, Lecture notes in networks and systems and International Conference on Computing for Sustainable Global Development.
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.