Parmeet Kaur
Impact in
- Nutrition and Dietetics top 5%
- Food composition and properties
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
-
- Cloud Computing and Resource Management 16
-
- IoT and Edge/Fog Computing 14
- Distributed systems and fault tolerance 5
- Distributed and Parallel Computing Systems 5
- Co-authors
- Saurabh Sharma (1 shared paper)Narpinder Singh (11 shared papers)Shikha Mehta (5 shared papers)Amritpal Kaur (10 shared papers)Amardeep Singh Virdi (6 shared papers)Priyanka Pal (7 shared papers)Brijesh K. Tiwari (1 shared paper)N.N. Misra (1 shared paper)
- Journals
- Food Research International (3 papers)ACS Macro Letters (3 papers)Arabian Journal for Science and Engineering (3 papers)Cereal Chemistry (3 papers)Journal of Food Science and Technology (2 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Parmeet Kaur
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 141
- Nutrition and Dietetics 239
- Neurology 164
- Information Systems 226
- Computer Networks and Communications 218
- Food Science 151
Countries citing papers authored by Parmeet Kaur
This map shows the geographic impact of Parmeet 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 Parmeet Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parmeet Kaur more than expected).
Fields of papers citing papers by Parmeet Kaur
This network shows the impact of papers produced by Parmeet 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 Parmeet Kaur. The network helps show where Parmeet Kaur may publish in the future.
Co-authors
The 25 scholars most cited alongside Parmeet 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 299 | |
| 2 | 2015 | 114 | |
| 3 | 2018 | 104 | |
| 4 | 2016 | 89 | |
| 5 | 2012 | 62 | |
| 6 | 2016 | 44 | |
| 7 | 2013 | 40 | |
| 8 | 2014 | 38 | |
| 9 | 2016 | 27 | |
| 10 | 2018 | 27 | |
| 11 | 2022 | 24 | |
| 12 | 2018 | 23 | |
| 13 | 2022 | 19 | |
| 14 | 2019 | 19 | |
| 15 | 2019 | 16 | |
| 16 | 2017 | 16 | |
| 17 | 2022 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2023 | 11 | |
| 20 | 2019 | 11 |
About Parmeet Kaur
Parmeet Kaur is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Nutrition and Dietetics and Electrical and Electronic Engineering, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), IoT and Edge/Fog Computing (14 papers), Food composition and properties (10 papers), Privacy-Preserving Technologies in Data (6 papers), GABA and Rice Research (6 papers), Distributed systems and fault tolerance (5 papers), Distributed and Parallel Computing Systems (5 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Nutrition and Dietetics (239 citations), Neurology (164 citations), Information Systems (226 citations), Computer Networks and Communications (218 citations) and Food Science (151 citations). Parmeet Kaur has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Saurabh Sharma, Narpinder Singh, Shikha Mehta, Amritpal Kaur, Amardeep Singh Virdi, Priyanka Pal, Brijesh K. Tiwari, N.N. Misra, Patrick J. Cullen and Gulshan Mahajan. Their work appears in journals such as Food Research International, ACS Macro Letters, Arabian Journal for Science and Engineering, Cereal Chemistry and Journal of Food Science and Technology.
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.