Sukhwinder Singh
- Public Administration top 10%
- Health Information Management top 10%
- Artificial Intelligence top 10%
- AI in cancer detection 7
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- Functional Brain Connectivity Studies 5
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- Agricultural Systems and Practices 4
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- Agricultural Economics and Practices 4
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- Radiomics and Machine Learning in Medical Imaging 4
- Infrared Thermography in Medicine 3
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- Livestock Management and Performance Improvement 4
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- Analytic and geometric function theory 4
Sukhwinder Singh
41 papers receiving 350 citations
Peers
Comparison fields: 5 of 100
- Public Administration 25
- Computer Vision and Pattern Recognition 82
- Health Information Management 17
- Biophysics 20
- Artificial Intelligence 99
Countries citing papers authored by Sukhwinder Singh
This map shows the geographic impact of Sukhwinder 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 Sukhwinder Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukhwinder Singh more than expected).
Fields of papers citing papers by Sukhwinder Singh
This network shows the impact of papers produced by Sukhwinder 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 Sukhwinder Singh. The network helps show where Sukhwinder Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sukhwinder 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 1 | |
| 6 | Determination of knowledge level of goat farmers about breeding practices in Punjab | 2020 | 0 |
| 7 | 2020 | 1 | |
| 8 | 2019 | 8 | |
| 9 | 2018 | 0 | |
| 10 | 2018 | 3 | |
| 11 | 2016 | 1 | |
| 12 | 2015 | 22 | |
| 13 | Embedded Speech Recognition System | 2014 | 0 |
| 14 | 2014 | 27 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 66 | |
| 17 | Development and field evaluation of tractor-mounted air-assisted sprayer for cotton. | 2010 | 3 |
| 18 | On starlikeness and convexity of analytic functions satisfying a differential inequality. | 2008 | 0 |
| 19 | Effect of pruning on photosynthetic rate, canopy microclimate and yield in mango cv. Amrapali under high density planting | 2003 | 6 |
| 20 | 1983 | 2 |
About Sukhwinder Singh
Sukhwinder Singh is a scholar working on Agronomy and Crop Science, Public Administration and General Agricultural and Biological Sciences, having authored 52 papers that have together received 384 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Functional Brain Connectivity Studies (5 papers), Agricultural Systems and Practices (4 papers), Agricultural Economics and Practices (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Livestock Management and Performance Improvement (4 papers), Analytic and geometric function theory (4 papers) and Infrared Thermography in Medicine (3 papers). The work is most often cited by research in Public Administration (25 citations), Computer Vision and Pattern Recognition (82 citations) and Health Information Management (17 citations). Sukhwinder Singh has collaborated with scholars based in India, United Kingdom and France. Frequent co-authors include Savita Gupta, Mandeep Singh, Priti Arun, Simranjit Kaur, Vibha Jain, Sandeep K. Gupta, Sunil Mittal, Rupak Chakravarty, Sukhjit Singh and J. S. Brar. Their work appears in journals such as Journal of Public Economics, Neuroscience Letters and Information Fusion.
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.