D. Garg
Impact in
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- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Media Technology top 10%
- Advanced Image Fusion Techniques
Papers in
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- Terahertz technology and applications 9
- Photonic and Optical Devices 2
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- Spectroscopy and Laser Applications 4
- Co-authors
- Munish Kumar (1 shared paper)Naresh Kumar Garg (1 shared paper)Priyanka Gupta (2 shared papers)Lovekesh Vig (2 shared papers)Gautam Shroff (2 shared papers)Alexandre Soares Rosado (1 shared paper)Anamika Rawat (1 shared paper)Amartya Sengupta (10 shared papers)
- Journals
- Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2 papers)Physical review. D (2 papers)Journal of Electroanalytical Chemistry (1 paper)Multimedia Tools and Applications (1 paper)Journal of Raman Spectroscopy (1 paper)
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
D. Garg
15 papers receiving 285 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 120
- Media Technology 50
- Information Systems 98
- Artificial Intelligence 82
- Management Science and Operations Research 28
Countries citing papers authored by D. Garg
This map shows the geographic impact of D. 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 D. Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Garg more than expected).
Fields of papers citing papers by D. Garg
This network shows the impact of papers produced by D. 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 D. Garg. The network helps show where D. Garg may publish in the future.
Co-authors
The 25 scholars most cited alongside D. 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 | 2018 | 127 | |
| 2 | 2019 | 80 | |
| 3 | 2024 | 27 | |
| 4 | NISER: Normalized Item and Session Representations with Graph Neural Networks | 2019 | 20 |
| 5 | 2021 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2019 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2022 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2019 | 0 |
About D. Garg
D. Garg is a scholar working on Electrical and Electronic Engineering, Spectroscopy, Biomedical Engineering, Information Systems and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 293 indexed citations. Recurring topics across this work include Terahertz technology and applications (9 papers), Spectroscopy and Laser Applications (4 papers), Neutrino Physics Research (2 papers), Photonic and Optical Devices (2 papers), Thermography and Photoacoustic Techniques (2 papers), Astrophysics and Cosmic Phenomena (2 papers), Plant and animal studies (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Media Technology (50 citations), Information Systems (98 citations), Artificial Intelligence (82 citations) and Management Science and Operations Research (28 citations). D. Garg has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Munish Kumar, Naresh Kumar Garg, Priyanka Gupta, Lovekesh Vig, Gautam Shroff, Alexandre Soares Rosado, Anamika Rawat, Amartya Sengupta, Niketan Patel and Aparajita Bandyopadhyay. Their work appears in journals such as Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Physical review. D, Journal of Electroanalytical Chemistry, Multimedia Tools and Applications and Journal of Raman Spectroscopy.
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.