Sandeep Kaur
Impact in
- Endocrinology top 10%
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- Microgrid Control and Optimization
Papers in
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- Optimal Power Flow Distribution 13
- Smart Grid Energy Management 10
- Power System Optimization and Stability 5
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- Genomics and Phylogenetic Studies 6
- Co-authors
- Ganesh B. Kumbhar (5 shared papers)Jaydev Sharma (3 shared papers)Ruiting Lan (15 shared papers)Sophie Octavia (9 shared papers)Vitali Sintchenko (8 shared papers)Mark M. Tanaka (5 shared papers)Qinning Wang (5 shared papers)Michael Payne (12 shared papers)
In The Last Decade
Sandeep Kaur
82 papers receiving 953 citations
Peers
Comparison fields: 5 of 148
- Endocrinology 62
- Control and Systems Engineering 256
- Microbiology 49
- Food Science 130
- Electrical and Electronic Engineering 313
Countries citing papers authored by Sandeep Kaur
This map shows the geographic impact of Sandeep Kaur'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 Sandeep Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Kaur more than expected).
Fields of papers citing papers by Sandeep Kaur
This network shows the impact of papers produced by Sandeep Kaur. 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 Sandeep Kaur. The network helps show where Sandeep Kaur may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandeep Kaur, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 213 | |
| 2 | 2015 | 71 | |
| 3 | 2020 | 62 | |
| 4 | 2018 | 54 | |
| 5 | 2018 | 52 | |
| 6 | 2013 | 33 | |
| 7 | 2016 | 31 | |
| 8 | 2017 | 30 | |
| 9 | 2016 | 30 | |
| 10 | 2021 | 22 | |
| 11 | 2021 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2015 | 20 | |
| 14 | 2017 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2017 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2021 | 12 |
About Sandeep Kaur
Sandeep Kaur is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Control and Systems Engineering, Computer Vision and Pattern Recognition and Food Science, having authored 88 papers that have together received 989 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (13 papers), Microgrid Control and Optimization (12 papers), Smart Grid Energy Management (10 papers), Salmonella and Campylobacter epidemiology (8 papers), Genomics and Phylogenetic Studies (6 papers), Vibrio bacteria research studies (6 papers), Power System Optimization and Stability (5 papers) and Inflammatory Bowel Disease (5 papers). The work is most often cited by research in Endocrinology (62 citations), Control and Systems Engineering (256 citations), Microbiology (49 citations), Food Science (130 citations) and Electrical and Electronic Engineering (313 citations). Sandeep Kaur has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include Ganesh B. Kumbhar, Jaydev Sharma, Ruiting Lan, Sophie Octavia, Vitali Sintchenko, Mark M. Tanaka, Qinning Wang, Michael Payne, Séan O’Donoghue and Maitreyi Raman. Their work appears in journals such as Microbial Genomics, Frontiers in Cellular and Infection Microbiology, Microbiology Spectrum, Scientific Reports and Frontiers in Microbiology.
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.