Pushpendra Kumar
Impact in
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- Artificial Intelligence in Healthcare
- Information Systems top 10%
- Recommender Systems and Techniques
Papers in
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- Advanced Vision and Imaging 2
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- Imbalanced Data Classification Techniques 3
- Co-authors
- Ramjeevan Singh Thakur (5 shared papers)Vinod Kumar (1 shared paper)Dharmendra Singh Rajput (2 shared papers)Ahmed J. Obaid (2 shared papers)Amit Kumar Das (1 shared paper)Harshita Patel (3 shared papers)J. F. Gómez‐Aguilar (1 shared paper)Shailendra Jain (1 shared paper)
In The Last Decade
Pushpendra Kumar
18 papers receiving 216 citations
Peers
Comparison fields: 5 of 57
- Health Information Management 41
- Information Systems 96
- Artificial Intelligence 100
- Computer Vision and Pattern Recognition 52
- Marketing 16
Countries citing papers authored by Pushpendra Kumar
This map shows the geographic impact of Pushpendra Kumar'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 Pushpendra Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushpendra Kumar more than expected).
Fields of papers citing papers by Pushpendra Kumar
This network shows the impact of papers produced by Pushpendra Kumar. 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 Pushpendra Kumar. The network helps show where Pushpendra Kumar may publish in the future.
Co-authors
The 15 scholars most cited alongside Pushpendra Kumar, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 89 | |
| 2 | 2020 | 46 | |
| 3 | 2021 | 19 | |
| 4 | 2018 | 18 | |
| 5 | 2019 | 15 | |
| 6 | 2022 | 12 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2025 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2025 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2025 | 2 | |
| 14 | Smart Traffic Light System for Emergency Ambulance Using IoT | 2021 | 1 |
| 15 | 2025 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 1 | |
| 18 | Performance Analysis Of Deep Neural Network Algorithm With Optimizer For Rumour Detection | 2021 | 1 |
| 19 | 2023 | 1 | |
| 20 | 2025 | 0 |
About Pushpendra Kumar
Pushpendra Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Health Information Management and Plant Science, having authored 27 papers that have together received 233 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (3 papers), Smart Agriculture and AI (3 papers), Information Retrieval and Search Behavior (2 papers), Image Processing Techniques and Applications (2 papers), COVID-19 diagnosis using AI (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Health Information Management (41 citations), Information Systems (96 citations), Artificial Intelligence (100 citations), Computer Vision and Pattern Recognition (52 citations) and Marketing (16 citations). Pushpendra Kumar has collaborated with scholars based in India, Iraq and Nepal. Frequent co-authors include Ramjeevan Singh Thakur, Vinod Kumar, Dharmendra Singh Rajput, Ahmed J. Obaid, Amit Kumar Das, Harshita Patel, J. F. Gómez‐Aguilar, Shailendra Jain, Abha Sharma and Yadollah Ordokhani. Their work appears in journals such as IEEE Access, Wireless Communications and Mobile Computing, Multimedia Tools and Applications, Computers, materials & continua/Computers, materials & continua (Print) and Arabian Journal for Science and Engineering.
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.