Dalwinder Singh
Impact in
-
- Artificial Intelligence in Healthcare
-
- Smart Systems and Machine Learning
Papers in
-
- Smart Systems and Machine Learning 23
-
- Advanced Neural Network Applications 5
- Digital Imaging for Blood Diseases 4
- Co-authors
- Manik Rakhra (40 shared papers)Arun Singh (22 shared papers)Deepa Gupta (3 shared papers)Jimmy Singla (5 shared papers)Shruti (6 shared papers)Sahil Verma (2 shared papers)Omdev Dahiya (3 shared papers)Deepak Kumar (1 shared paper)
- Journals
- IEEE Access (2 papers)Gene (1 paper)Plant Molecular Biology Reporter (1 paper)Social Network Analysis and Mining (1 paper)Computers, materials & continua/Computers, materials & continua (Print) (1 paper)
- Partner nations
- IndiaNigeriaSaudi Arabia
In The Last Decade
Dalwinder Singh
63 papers receiving 499 citations
Peers
Comparison fields: 5 of 89
- Health Information Management 50
- Computer Networks and Communications 183
- Computer Vision and Pattern Recognition 127
- Information Systems 111
- Media Technology 38
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 31 | |
| 2 | 2022 | 28 | |
| 3 | 2022 | 25 | |
| 4 | 2022 | 23 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2012 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2013 | 12 | |
| 20 | 2022 | 12 |
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 71 papers that have together received 518 indexed citations. Recurring topics across this work include Smart Systems and Machine Learning (23 papers), Artificial Intelligence in Healthcare (15 papers), Internet of Things and AI (12 papers), COVID-19 diagnosis using AI (5 papers), Advanced Neural Network Applications (5 papers), AI in cancer detection (5 papers), Sports Performance and Training (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Health Information Management (50 citations), Computer Networks and Communications (183 citations), Computer Vision and Pattern Recognition (127 citations), Information Systems (111 citations) and Media Technology (38 citations). Dalwinder Singh has collaborated with scholars based in India, Nigeria and Saudi Arabia. Frequent co-authors include Manik Rakhra, Arun Singh, Deepa Gupta, Jimmy Singla, Shruti, Sahil Verma, Omdev Dahiya, Deepak Kumar, Simerjeet Kaur and Ankita Wadhawan. Their work appears in journals such as IEEE Access, Gene, Plant Molecular Biology Reporter, Social Network Analysis and Mining and Computers, materials & continua/Computers, materials & continua (Print).
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.