Pushpendra Kumar
Impact in
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- Artificial Intelligence in Healthcare
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
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- Digital Imaging for Blood Diseases 2
- Image Retrieval and Classification Techniques 2
- Image and Video Quality Assessment 2
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- Artificial Intelligence in Healthcare 5
- Co-authors
- Ramjeevan Singh Thakur (8 shared papers)Vinod Kumar (3 shared papers)Ahmed J. Obaid (2 shared papers)Dharmendra Singh Rajput (2 shared papers)Afroj Alam (2 shared papers)Harshita Patel (3 shared papers)Amit Kumar Das (1 shared paper)Abha Sharma (2 shared papers)
In The Last Decade
Pushpendra Kumar
28 papers receiving 268 citations
Peers
Comparison fields: 5 of 61
- Health Information Management 48
- Information Systems 115
- Artificial Intelligence 121
- Computer Vision and Pattern Recognition 65
- Computer Science Applications 11
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 18 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2020 | 51 | |
| 3 | 2021 | 23 | |
| 4 | 2018 | 20 | |
| 5 | 2019 | 19 | |
| 6 | 2022 | 13 | |
| 7 | 2024 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 2 | |
| 18 | Performance Analysis Of Deep Neural Network Algorithm With Optimizer For Rumour Detection | 2021 | 2 |
| 19 | 2025 | 2 | |
| 20 | 2022 | 2 |
About Pushpendra Kumar
Pushpendra Kumar is a scholar working on Computer Vision and Pattern Recognition, Health Information Management, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 38 papers that have together received 289 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Imbalanced Data Classification Techniques (3 papers), Blockchain Technology Applications and Security (3 papers), Smart Agriculture and AI (3 papers), Digital Imaging for Blood Diseases (2 papers), Image Retrieval and Classification Techniques (2 papers), COVID-19 diagnosis using AI (2 papers) and Image and Video Quality Assessment (2 papers). The work is most often cited by research in Health Information Management (48 citations), Information Systems (115 citations), Artificial Intelligence (121 citations), Computer Vision and Pattern Recognition (65 citations) and Computer Science Applications (11 citations). Pushpendra Kumar has collaborated with scholars based in India, Iraq and Türkiye. Frequent co-authors include Ramjeevan Singh Thakur, Vinod Kumar, Ahmed J. Obaid, Dharmendra Singh Rajput, Afroj Alam, Harshita Patel, Amit Kumar Das, Abha Sharma, Yadollah Ordokhani and José Francisco Gómez-Aguilar. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Wireless Communications and Mobile Computing, Multimedia Tools and Applications 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.