Kapil Joshi
Impact in
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- Artificial Intelligence in Healthcare
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
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- Internet of Things and AI 25
- Blockchain Technology Applications and Security 18
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- IoT and Edge/Fog Computing 24
- Smart Systems and Machine Learning 11
- Co-authors
- Manoj Diwakar (14 shared papers)Prabhishek Singh (11 shared papers)Amrendra Tripathi (6 shared papers)Ashulekha Gupta (17 shared papers)Minakshi Memoria (15 shared papers)Harishchander Anandaram (25 shared papers)Anita Gehlot (19 shared papers)Vinay Sharma (4 shared papers)
- Journals
- Journal of Cleaner Production (2 papers)Food Science & Nutrition (1 paper)IEEE Access (1 paper)Biomass and Bioenergy (1 paper)Renewable and Sustainable Energy Reviews (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited States
In The Last Decade
Kapil Joshi
172 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 131
- Health Information Management 118
- Media Technology 98
- Computer Vision and Pattern Recognition 169
- Medical Laboratory Technology 11
- Human-Computer Interaction 37
Countries citing papers authored by Kapil Joshi
This map shows the geographic impact of Kapil Joshi'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 Kapil Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kapil Joshi more than expected).
Fields of papers citing papers by Kapil Joshi
This network shows the impact of papers produced by Kapil Joshi. 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 Kapil Joshi. The network helps show where Kapil Joshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Kapil Joshi, 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 204 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2020 | 45 | |
| 3 | 2020 | 38 | |
| 4 | 2020 | 34 | |
| 5 | 2022 | 34 | |
| 6 | 2023 | 32 | |
| 7 | 2021 | 27 | |
| 8 | 2020 | 24 | |
| 9 | 2023 | 22 | |
| 10 | 2023 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2015 | 19 | |
| 13 | 2019 | 19 | |
| 14 | 2024 | 17 | |
| 15 | 2022 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2022 | 14 |
About Kapil Joshi
Kapil Joshi is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 204 papers that have together received 1.1k indexed citations. Recurring topics across this work include Internet of Things and AI (25 papers), IoT and Edge/Fog Computing (24 papers), Blockchain Technology Applications and Security (18 papers), Smart Agriculture and AI (16 papers), Advanced Image Fusion Techniques (13 papers), Artificial Intelligence in Healthcare (12 papers), Smart Systems and Machine Learning (11 papers) and IoT-based Smart Home Systems (10 papers). The work is most often cited by research in Health Information Management (118 citations), Media Technology (98 citations), Computer Vision and Pattern Recognition (169 citations), Medical Laboratory Technology (11 citations) and Human-Computer Interaction (37 citations). Kapil Joshi has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Manoj Diwakar, Prabhishek Singh, Amrendra Tripathi, Ashulekha Gupta, Minakshi Memoria, Harishchander Anandaram, Anita Gehlot, Vinay Sharma, Shaik Vaseem Akram and Anil Kumar. Their work appears in journals such as Journal of Cleaner Production, Food Science & Nutrition, IEEE Access, Biomass and Bioenergy and Renewable and Sustainable Energy Reviews.
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.