Dalwinder Singh
Impact in
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- Artificial Intelligence in Healthcare
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- Smart Systems and Machine Learning
Papers in
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- Smart Systems and Machine Learning 23
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- Advanced Neural Network Applications 5
- Co-authors
- Manik Rakhra (41 shared papers)Arun Singh (22 shared papers)Jimmy Singla (5 shared papers)Deepa Gupta (3 shared papers)Shruti (6 shared papers)Sahil Verma (2 shared papers)Omdev Dahiya (3 shared papers)Arun Kumar Singh (6 shared papers)
In The Last Decade
Dalwinder Singh
68 papers receiving 594 citations
Peers
Comparison fields: 5 of 88
- Health Information Management 56
- Computer Networks and Communications 194
- Computer Vision and Pattern Recognition 149
- Information Systems 129
- Neurology 35
Countries citing papers authored by Dalwinder Singh
This map shows the geographic impact of Dalwinder Singh'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 Dalwinder Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalwinder Singh more than expected).
Fields of papers citing papers by Dalwinder Singh
This network shows the impact of papers produced by Dalwinder Singh. 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 Dalwinder Singh. The network helps show where Dalwinder Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Dalwinder Singh, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 32 | |
| 2 | 2022 | 30 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 23 | |
| 5 | 2022 | 23 | |
| 6 | 2023 | 20 | |
| 7 | 2022 | 20 | |
| 8 | 2024 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2022 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2012 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2022 | 13 |
About Dalwinder Singh
Dalwinder Singh is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Health Information Management and Artificial Intelligence, having authored 78 papers that have together received 614 indexed citations. Recurring topics across this work include Smart Systems and Machine Learning (23 papers), Artificial Intelligence in Healthcare (16 papers), Internet of Things and AI (12 papers), AI in cancer detection (6 papers), Advanced Neural Network Applications (5 papers), Sports Performance and Training (5 papers), COVID-19 diagnosis using AI (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in Health Information Management (56 citations), Computer Networks and Communications (194 citations), Computer Vision and Pattern Recognition (149 citations), Information Systems (129 citations) and Neurology (35 citations). Dalwinder Singh has collaborated with scholars based in India, Nigeria and Canada. Frequent co-authors include Manik Rakhra, Arun Singh, Jimmy Singla, Deepa Gupta, Shruti, Sahil Verma, Omdev Dahiya, Arun Kumar Singh, Deepak Kumar and Kamal Deep. Their work appears in journals such as IEEE Access, Plant Molecular Biology Reporter, Microbiome, Physiology and Molecular Biology of Plants and Social Network Analysis and Mining.
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.