Parmeet Kaur

1.7k total citations
74 papers, 1.2k citations indexed

About

Parmeet Kaur is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Parmeet Kaur has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 24 papers in Computer Networks and Communications and 11 papers in Artificial Intelligence. Recurrent topics in Parmeet Kaur's work include Cloud Computing and Resource Management (16 papers), IoT and Edge/Fog Computing (14 papers) and Food composition and properties (10 papers). Parmeet Kaur is often cited by papers focused on Cloud Computing and Resource Management (16 papers), IoT and Edge/Fog Computing (14 papers) and Food composition and properties (10 papers). Parmeet Kaur collaborates with scholars based in India, United States and Australia. Parmeet Kaur's co-authors include Saurabh Sharma, Narpinder Singh, Shikha Mehta, Amritpal Kaur, Amardeep Singh Virdi, Priyanka Pal, Patrick J. Cullen, Brijesh K. Tiwari, N.N. Misra and Gulshan Mahajan and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Physical Chemistry C and CHEST Journal.

In The Last Decade

Parmeet Kaur

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Parmeet Kaur India 16 239 226 218 194 164 74 1.2k
Huiqing Li China 20 30 0.1× 200 0.9× 68 0.3× 216 1.1× 89 0.5× 103 1.4k
Jung Tae Kim∥ South Korea 28 166 0.7× 70 0.3× 89 0.4× 266 1.4× 30 0.2× 202 2.5k
Xuejiao Liu China 28 58 0.2× 99 0.4× 87 0.4× 107 0.6× 24 0.1× 113 2.0k
Ziming Zheng China 26 76 0.3× 211 0.9× 449 2.1× 444 2.3× 6 0.0× 59 1.7k
Juhan Kim South Korea 25 52 0.2× 45 0.2× 46 0.2× 87 0.4× 153 0.9× 79 2.0k
Praveen Thaggikuppe Krishnamurthy India 23 30 0.1× 43 0.2× 635 2.9× 136 0.7× 54 0.3× 136 2.1k
Xiujuan Wang China 21 50 0.2× 268 1.2× 393 1.8× 53 0.3× 9 0.1× 142 1.9k
Indu Bala India 14 154 0.6× 41 0.2× 109 0.5× 110 0.6× 6 0.0× 52 1.6k
Sung‐Soo Kim South Korea 18 47 0.2× 49 0.2× 66 0.3× 101 0.5× 19 0.1× 44 1.0k
Xinyi Zhang China 19 50 0.2× 67 0.3× 154 0.7× 47 0.2× 10 0.1× 110 1.4k

Countries citing papers authored by Parmeet Kaur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Parmeet Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Parmeet Kaur. A scholar is included among the top collaborators of Parmeet Kaur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Parmeet Kaur. Parmeet Kaur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lessard, Jacob J., Parmeet Kaur, Julian C. Cooper, et al.. (2025). Active Learning Guided Optimization of Frontal Ring-Opening Metathesis Polymerization via Alkylidene Modification. ACS Macro Letters. 14(5). 525–531. 2 indexed citations
2.
Kaur, Parmeet, et al.. (2025). Chemical Activation of Frontal Ring-Opening Metathesis Polymerization. ACS Macro Letters. 14(8). 1182–1188.
3.
Kaur, Parmeet, et al.. (2024). Fog-based Federated Time Series Forecasting for IoT Data. Journal of Network and Systems Management. 32(2). 2 indexed citations
4.
Kaur, Parmeet, et al.. (2023). Reliable federated learning in a cloud-fog-IoT environment. The Journal of Supercomputing. 79(14). 15435–15458. 11 indexed citations
5.
Kaur, Parmeet, et al.. (2023). Alzheimer’s Disease Detection Using Machine Learning. SSRN Electronic Journal. 1 indexed citations
6.
Sharma, Aditi & Parmeet Kaur. (2023). A Survey of Distributed Data Storage in the Cloud for Multitenant Applications. International Journal of Performability Engineering. 19(3). 184–184. 6 indexed citations
7.
Kaur, Parmeet, et al.. (2023). An Empirical study of Gradient Compression Techniques for Federated Learning. 1 indexed citations
8.
Kaur, Parmeet, et al.. (2023). An Adaptable Approach to Fault Tolerance in Cloud Computing. International Journal of Cloud Applications and Computing. 13(1). 1–24. 6 indexed citations
9.
Kaur, Parmeet, Narpinder Singh, Priyanka Pal, & Amritpal Kaur. (2022). Functional, amino acid composition and protein profiling of protein isolates from different pigmented, nonpigmented and improved rice varieties and their effects on starch thermal and dynamic rheological behaviour. International Journal of Food Science & Technology. 57(5). 2932–2943. 1 indexed citations
10.
Lessard, Jacob J., et al.. (2022). Switching Frontal Polymerization Mechanisms: FROMP and FRaP. ACS Macro Letters. 11(9). 1097–1101. 19 indexed citations
11.
Kaur, Parmeet, et al.. (2022). Tamper-proof multitenant data storage using blockchain. Peer-to-Peer Networking and Applications. 16(1). 431–449. 14 indexed citations
12.
Hammond, Naomi, Parmeet Kaur, Bharath Kumar Tirupakuzhi Vijayaraghavan, et al.. (2022). Estimates of Sepsis Prevalence and Outcomes in Adult Patients in the ICU in India. CHEST Journal. 161(6). 1543–1554. 24 indexed citations
13.
Tripathi, Abhishek, et al.. (2021). AI in Fighting Covid-19: Pandemic Management. Procedia Computer Science. 185. 380–386. 5 indexed citations
14.
Virdi, Amardeep Singh, Narpinder Singh, Priyanka Pal, Parmeet Kaur, & Amritpal Kaur. (2019). Evaluation of head and broken rice of long grain Indica rice cultivars: Evidence for the role of starch and protein composition to head rice recovery. Food Research International. 126. 108675–108675. 16 indexed citations
15.
Kaur, Parmeet, et al.. (2019). A Machine Learning Approach for Enhancing Defence Against Global Terrorism. 1–5. 11 indexed citations
16.
Kaur, Parmeet, Narpinder Singh, Priyanka Pal, & Amritpal Kaur. (2018). Variation in composition, protein and pasting characteristics of different pigmented and non pigmented rice (Oryza sativa L.) grown in Indian Himalayan region. Journal of Food Science and Technology. 55(9). 3809–3820. 23 indexed citations
17.
Kaur, Parmeet, Narpinder Singh, Priyanka Pal, & Amritpal Kaur. (2018). Traditional and improved paddy varieties: Composition, protein, pasting, and gluten‐free chapati making properties. Cereal Chemistry. 95(5). 666–678. 10 indexed citations
18.
Kaur, Parmeet, et al.. (2018). Dependency Graph Based Detection of Semantically Equivalent Questions in Online Forums. International Journal of Information Retrieval Research. 9(1). 50–64. 2 indexed citations
19.
Kaur, Parmeet, Priyanka Pal, Amardeep Singh Virdi, et al.. (2016). Protein and starch characteristics of milled rice from different cultivars affected by transplantation date. Journal of Food Science and Technology. 53(8). 3186–3196. 27 indexed citations
20.
Dubey, Sonal, et al.. (2010). Synthesis and QSAR studies of 16-(3-methoxy-4-substituted benzylidene) androstene derivatives as anticancer agents. Indian Journal of Chemistry Section B-organic Chemistry Including Medicinal Chemistry. 49(7). 948–955. 1 indexed citations

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.

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