Gurpreet Kaur

715 citations
38 papers · 455 indexed · h-index 11
Topics
Chaos-based Image/Signal Encryption (10 papers)Advanced Steganography and Watermarking Techniques (7 papers)Digital Media Forensic Detection (4 papers)
Journals
SHILAP Revista de lepidopterologíaRemote SensingArchives of Oral Biology
Partner nations
IndiaCanadaAustralia

In The Last Decade

Gurpreet Kaur

33 papers receiving 422 citations

Peers

Gurpreet Kaur
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 186
  • Molecular Biology 92
  • Artificial Intelligence 90
  • Information Systems 60
  • Oral Surgery 60
Replace Alceu Ferraz Costa with:
Alceu Ferraz Costa Brazil
Arnaud Quirin Spain
Lizhong Ding China
Rasmita Dash India
Guosheng Gu China
Poonam Goyal India
Zhili Wu China
S. Santhosh Baboo India
Adolfo J. Quiróz Venezuela
Hamida Seba France
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Citations per field
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Citations per year

Countries citing papers authored by Gurpreet Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Gurpreet Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurpreet Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Gurpreet Kaur. A scholar is included among the top collaborators of Gurpreet 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 Gurpreet Kaur. Gurpreet 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
#WorkIndexed citations
1 0
2 0
3 4
4 4
5 10
6 0
7 28
8 6
9 1
10 1
11 35
12 6
13 9
14 17
15 0
16 4
17
Opinion mining and sentiment analysis
46
18 6
19 58
20 26

About Gurpreet Kaur

Gurpreet Kaur is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Business and International Management, having authored 38 papers that have together received 455 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (10 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Digital Media Forensic Detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (186 citations), Oral Surgery (60 citations) and Signal Processing (42 citations). Gurpreet Kaur has collaborated with scholars based in India, Canada and Australia. Frequent co-authors include Vinod Patidar, Angela Kross, Ravneet Kaur, Navneet Kaur, A.H. Brook, Richard Smith, Grant C. Townsend, Navdeep Singh, Munish Kumar and Graham Davis. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing and Archives of Oral Biology.

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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