Kumar Gaurav
Impact in
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- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
Papers in
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- Advanced Chemical Sensor Technologies 6
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- Robotic Path Planning Algorithms 2
- Face recognition and analysis 2
- Digital Media Forensic Detection 2
- Co-authors
- Umesh Ghanekar (1 shared paper)Amit Doegar (1 shared paper)Ajay Kumar (4 shared papers)Maitreyee Dutta (1 shared paper)Ramanpreet Singh (2 shared papers)Amit Kumar (2 shared papers)Amit Rai Dixit (2 shared papers)Rabesh Kumar Singh (2 shared papers)
In The Last Decade
Kumar Gaurav
20 papers receiving 177 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 84
- Media Technology 13
- Mechanical Engineering 45
- Industrial and Manufacturing Engineering 11
- Insect Science 13
Countries citing papers authored by Kumar Gaurav
This map shows the geographic impact of Kumar Gaurav'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 Kumar Gaurav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Gaurav more than expected).
Fields of papers citing papers by Kumar Gaurav
This network shows the impact of papers produced by Kumar Gaurav. 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 Kumar Gaurav. The network helps show where Kumar Gaurav may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Gaurav, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2018 | 25 | |
| 3 | CNN Based Image Forgery Detection Using Pre-trained AlexNet Model | 2019 | 24 |
| 4 | 2020 | 15 | |
| 5 | 2018 | 11 | |
| 6 | 2020 | 9 | |
| 7 | 2015 | 8 | |
| 8 | 2018 | 4 | |
| 9 | 2020 | 3 | |
| 10 | Effect of different cooking methods on quality of broiler chicken meat chat. | 2012 | 2 |
| 11 | 2024 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Kumar Gaurav
Kumar Gaurav is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Insect Science, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 29 papers that have together received 188 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (6 papers), Insect Pheromone Research and Control (5 papers), Neurobiology and Insect Physiology Research (3 papers), Advanced machining processes and optimization (2 papers), Dental Research and COVID-19 (2 papers), Robotic Path Planning Algorithms (2 papers), Face recognition and analysis (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (84 citations), Media Technology (13 citations), Mechanical Engineering (45 citations), Industrial and Manufacturing Engineering (11 citations) and Insect Science (13 citations). Kumar Gaurav has collaborated with scholars based in India, Malaysia and Mexico. Frequent co-authors include Umesh Ghanekar, Amit Doegar, Ajay Kumar, Maitreyee Dutta, Ramanpreet Singh, Amit Kumar, Amit Rai Dixit, Rabesh Kumar Singh, Anuj Kumar Sharma and Amitava Mandal. Their work appears in journals such as Sadhana, Physical and Engineering Sciences in Medicine, Industrial Robot the international journal of robotics research and application, Journal of Information Security and Applications and Materials Today Proceedings.
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.