Harmandeep Kaur

763 citations
48 papers · 310 · h-index 11

Impact in

Papers in

Harmandeep Kaur

42 papers receiving 299 citations

Peers

Harmandeep Kaur
Comparison fields: 5 of 112
  • Media Technology 56
  • Computer Vision and Pattern Recognition 103
  • Human-Computer Interaction 17
  • Orthopedics and Sports Medicine 17
  • Biochemistry 11
Replace Lingfeng Xu with:
Lingfeng Xu China
Khalil Ur Rehman Pakistan
Linhu Liu China
Seongmin Lee South Korea
Mikael Nilsson Sweden
Tacha Şerif United Kingdom
Shu Chen China
Tonmoy Ghosh United States
Selda Güney Türkiye
Harmandeep Kaur relative to Lingfeng Xu China Lingfeng Xu's profile →
Citations per field
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Lingfeng Xu · 1×
Citations per year

Countries citing papers authored by Harmandeep Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Harmandeep Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Harmandeep Kaur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Harmandeep Kaur Line = papers co-authored together Harmandeep Kaur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202134
2 201726
3 202024
4 202023
5 202123
6 201821
7 202320
8 202014
9 202314
10 202412
11 202311
12
The relationship between temperature and neuronal characteristics.
20048
13
Detection of human papilloma virus types 16 & 18 DNA in cervical lesions of Indian women using in situ hybridization.
19927
14 20196
15 20136
16 20105
17 20235
18 20224
19 20144
20 20213

About Harmandeep Kaur

Harmandeep Kaur is a scholar working on Surgery, Computer Vision and Pattern Recognition, Media Technology, Epidemiology and Psychiatry and Mental health, having authored 48 papers that have together received 310 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Image Processing and 3D Reconstruction (5 papers), Vehicle License Plate Recognition (5 papers), Anesthesia and Pain Management (5 papers), Anesthesia and Sedative Agents (3 papers), Cervical Cancer and HPV Research (3 papers), Nanoparticles: synthesis and applications (3 papers) and Innovation and Socioeconomic Development (2 papers). The work is most often cited by research in Media Technology (56 citations), Computer Vision and Pattern Recognition (103 citations), Human-Computer Interaction (17 citations), Orthopedics and Sports Medicine (17 citations) and Biochemistry (11 citations). Harmandeep Kaur has collaborated with scholars based in India, United States and Türkiye. Frequent co-authors include Munish Kumar, Veenu Rani, Krishan Kumar, Mohinder Pal Bansal, Monika Sachdeva, Manju Rawat, Jiří­ Mlček, Soňa Škrovánková, Ajay Mittal and Sezai Erċışlı. Their work appears in journals such as Multimedia Tools and Applications, Canadian Journal of Kidney Health and Disease, Soft Computing, International Journal of Food Sciences and Nutrition and Epilepsy & Behavior.

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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