Deepali Gupta
Impact in
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare
Papers in
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- Internet of Things and AI 15
- Cloud Computing and Resource Management 10
- Recommender Systems and Techniques 9
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- IoT and Edge/Fog Computing 17
- Network Security and Intrusion Detection 11
- Co-authors
- Sheifali Gupta (33 shared papers)Kamali Gupta (25 shared papers)Mudita Uppal (43 shared papers)Nitin Goyal (16 shared papers)Ali Nauman (14 shared papers)Divya Anand (8 shared papers)Asadullah Shaikh (6 shared papers)Naresh Kumar (2 shared papers)
- Journals
- Sustainability (9 papers)IEEE Access (6 papers)Computers, materials & continua/Computers, materials & continua (Print) (4 papers)Electronics (4 papers)Sensors (4 papers)
- Partner nations
- IndiaSaudi ArabiaSouth Korea
In The Last Decade
Deepali Gupta
166 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 120
- Health Informatics 37
- Health Information Management 132
- Information Systems 377
- Aquatic Science 81
- Computer Vision and Pattern Recognition 258
Countries citing papers authored by Deepali Gupta
This map shows the geographic impact of Deepali Gupta'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 Deepali Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepali Gupta more than expected).
Fields of papers citing papers by Deepali Gupta
This network shows the impact of papers produced by Deepali Gupta. 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 Deepali Gupta. The network helps show where Deepali Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepali Gupta, 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 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2023 | 84 | |
| 3 | 2021 | 78 | |
| 4 | 2022 | 56 | |
| 5 | 2023 | 53 | |
| 6 | 2023 | 52 | |
| 7 | 2022 | 51 | |
| 8 | 2022 | 46 | |
| 9 | 2022 | 43 | |
| 10 | 2021 | 42 | |
| 11 | 2022 | 42 | |
| 12 | 2021 | 41 | |
| 13 | 2022 | 39 | |
| 14 | 2022 | 34 | |
| 15 | 2021 | 33 | |
| 16 | 2022 | 32 | |
| 17 | 2023 | 30 | |
| 18 | 2022 | 27 | |
| 19 | 2022 | 27 | |
| 20 | 2022 | 27 |
About Deepali Gupta
Deepali Gupta is a scholar working on Information Systems, Computer Networks and Communications, Health Information Management, Computer Vision and Pattern Recognition and Plant Science, having authored 192 papers that have together received 2k indexed citations. Recurring topics across this work include Smart Agriculture and AI (24 papers), IoT and Edge/Fog Computing (17 papers), Internet of Things and AI (15 papers), Artificial Intelligence in Healthcare (15 papers), Network Security and Intrusion Detection (11 papers), Cloud Computing and Resource Management (10 papers), Recommender Systems and Techniques (9 papers) and Handwritten Text Recognition Techniques (8 papers). The work is most often cited by research in Health Informatics (37 citations), Health Information Management (132 citations), Information Systems (377 citations), Aquatic Science (81 citations) and Computer Vision and Pattern Recognition (258 citations). Deepali Gupta has collaborated with scholars based in India, Saudi Arabia and South Korea. Frequent co-authors include Sheifali Gupta, Kamali Gupta, Mudita Uppal, Nitin Goyal, Ali Nauman, Divya Anand, Asadullah Shaikh, Naresh Kumar, Nripendra Narayan Das and Yonis Gulzar. Their work appears in journals such as Sustainability, IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Electronics and Sensors.
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.