Vikram Rajpoot
Impact in
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- Spectroscopy and Chemometric Analyses
Papers in
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- Face recognition and analysis 2
- Face and Expression Recognition 2
- Co-authors
- Akash Saxena (4 shared papers)Akhilesh Tiwari (1 shared paper)Anand Singh Jalal (1 shared paper)Rahul Pradhan (4 shared papers)Saumil Maheshwari (4 shared papers)Abhishek Dixit (3 shared papers)Rahul Dubey (2 shared papers)Gunjan Chhabra (3 shared papers)
In The Last Decade
Vikram Rajpoot
20 papers receiving 156 citations
Peers
Comparison fields: 5 of 55
- Analytical Chemistry 20
- Health Informatics 2
- Business and International Management 3
- Management Science and Operations Research 18
- Marketing 12
Countries citing papers authored by Vikram Rajpoot
This map shows the geographic impact of Vikram Rajpoot'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 Vikram Rajpoot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Rajpoot more than expected).
Fields of papers citing papers by Vikram Rajpoot
This network shows the impact of papers produced by Vikram Rajpoot. 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 Vikram Rajpoot. The network helps show where Vikram Rajpoot may publish in the future.
Co-authors
The 22 scholars most cited alongside Vikram Rajpoot, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 31 | |
| 2 | 2022 | 22 | |
| 3 | 2021 | 22 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 10 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 8 | |
| 8 | 2024 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2021 | 1 | |
| 20 | 2024 | 1 |
About Vikram Rajpoot
Vikram Rajpoot is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 22 papers that have together received 177 indexed citations. Recurring topics across this work include Smart Agriculture and AI (3 papers), Leaf Properties and Growth Measurement (2 papers), Water Quality Monitoring Technologies (2 papers), Face recognition and analysis (2 papers), Face and Expression Recognition (2 papers), Stock Market Forecasting Methods (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and IoT-based Smart Home Systems (2 papers). The work is most often cited by research in Analytical Chemistry (20 citations), Health Informatics (2 citations), Business and International Management (3 citations), Management Science and Operations Research (18 citations) and Marketing (12 citations). Vikram Rajpoot has collaborated with scholars based in India, Malta and Nepal. Frequent co-authors include Akash Saxena, Akhilesh Tiwari, Anand Singh Jalal, Rahul Pradhan, Saumil Maheshwari, Abhishek Dixit, Rahul Dubey, Gunjan Chhabra, Manish Gupta and Vivek Tiwari. Their work appears in journals such as Multimedia Tools and Applications, Computers, materials & continua/Computers, materials & continua (Print), Computers & Electrical Engineering, Journal of Intelligent & Fuzzy Systems and Traitement du signal.
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.