Harpreet Kaur

59 total papers · 640 total citations
33 papers, 442 citations indexed

About

Harpreet Kaur is a scholar working on Public Health, Environmental and Occupational Health, Electrical and Electronic Engineering and Modeling and Simulation. According to data from OpenAlex, Harpreet Kaur has authored 33 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 5 papers in Electrical and Electronic Engineering and 5 papers in Modeling and Simulation. Recurrent topics in Harpreet Kaur's work include Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Fractional Differential Equations Solutions (4 papers) and Evolution and Genetic Dynamics (3 papers). Harpreet Kaur is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Fractional Differential Equations Solutions (4 papers) and Evolution and Genetic Dynamics (3 papers). Harpreet Kaur collaborates with scholars based in India, France and Singapore. Harpreet Kaur's co-authors include Vinod Mishra, R.C. Mittal, Ransi Ann Abraham, K. M. Prabhu, D S Gambhir, Jaskaran Singh, Rajesh Sharma, Rishu Katwal, Jasleen Kaur and Rajneet Kaur Khurana and has published in prestigious journals such as The American Journal of Medicine, Nanoscale and Journal of Materials Science.

In The Last Decade

Harpreet Kaur

28 papers receiving 401 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Harpreet Kaur 119 67 61 56 51 33 442
Aziz Khan 40 0.3× 10 0.1× 43 0.7× 11 0.2× 14 0.3× 65 423
Francisco José Santonja Gómez 124 1.0× 32 0.5× 145 2.4× 15 0.3× 18 0.4× 47 465
Ravi Shanker Dubey 374 3.1× 166 2.5× 53 0.9× 8 0.1× 17 0.3× 45 444
Asif Jan 108 0.9× 13 0.2× 75 1.2× 2 0.0× 16 0.3× 32 393
Junying Cao 125 1.1× 105 1.6× 2 0.0× 41 0.7× 53 1.0× 48 490
J. Bernal‐Alvarado 105 0.9× 30 0.4× 19 0.3× 16 0.3× 2 0.0× 35 451
Gabriela Marinoschi 82 0.7× 38 0.6× 43 0.7× 11 0.2× 8 0.2× 59 410
Qiaoling Chen 23 0.2× 4 0.1× 79 1.3× 44 0.8× 5 0.1× 48 468
Yonghong Xu 83 0.7× 2 0.0× 201 3.3× 44 0.8× 38 0.7× 26 422
Jing Ren 118 1.0× 33 0.5× 22 0.4× 4 0.1× 3 0.1× 68 412

Countries citing papers authored by Harpreet Kaur

Since Specialization
Citations

This map shows the geographic impact of Harpreet 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 Harpreet Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harpreet Kaur more than expected).

Fields of papers citing papers by Harpreet Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harpreet 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 Harpreet Kaur. The network helps show where Harpreet Kaur may publish in the future.

Co-authorship network of co-authors of Harpreet Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Harpreet Kaur. A scholar is included among the top collaborators of Harpreet 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 Harpreet Kaur. Harpreet Kaur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026