Ravneet Ruby Kaur

463 citations
33 papers · 344 · h-index 11

Impact in

Papers in

    • Handwritten Text Recognition Techniques 6
    • Image Processing and 3D Reconstruction 4
    • Image and Signal Denoising Methods 2
    • Advanced Data Compression Techniques 1
    • Vehicle License Plate Recognition 4
    • Advanced Image Fusion Techniques 2

Ravneet Ruby Kaur

30 papers receiving 331 citations

Peers

Ravneet Ruby Kaur
Comparison fields: 5 of 107
  • Health Informatics 7
  • Oncology 81
  • General Dentistry 4
  • Epidemiology 78
  • Dermatology 21
Replace Jong Kun Kim with:
Jong Kun Kim South Korea
Paul C. Pearlman United States
Mariam Hassan United States
Xinglin Gao China
Paul Zhang United States
Daniel T. Hogarty Australia
Anne‐Kirstine Dyrvig Denmark
Christina Y. C. Yip Singapore
Reza Mirshahi Iran
Heather Mitchell Australia
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Citations per field
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Citations per year

Countries citing papers authored by Ravneet Ruby Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Ravneet Ruby Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ravneet Ruby 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 Ravneet Ruby Kaur Line = papers co-authored together Ravneet Ruby Kaur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202253
2
Beliefs and perceptions about cancers among patients attending radiotherapy OPD in Delhi, India.
200945
3 200529
4 201522
5 200920
6 201918
7 201817
8 201716
9 200915
10 201914
11 201614
12 201611
13 20048
14 20157
15 20147
16 20206
17 20205
18
TEXT RECOGNITION APPLICATIONS FOR MOBILE DEVICES
20185
19 20165
20 20204

About Ravneet Ruby Kaur

Ravneet Ruby Kaur is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Oncology, Epidemiology and Dermatology, having authored 33 papers that have together received 344 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (6 papers), Handwritten Text Recognition Techniques (6 papers), Image Processing and 3D Reconstruction (4 papers), Vehicle License Plate Recognition (4 papers), Image and Signal Denoising Methods (2 papers), Advanced Image Fusion Techniques (2 papers), Nonmelanoma Skin Cancer Studies (2 papers) and Advanced Data Compression Techniques (1 paper). The work is most often cited by research in Health Informatics (7 citations), Oncology (81 citations), General Dentistry (4 citations), Epidemiology (78 citations) and Dermatology (21 citations). Ravneet Ruby Kaur has collaborated with scholars based in India, United States and Algeria. Frequent co-authors include Ali Alikhan, Jugal Kishore, Harpreet Singh, Irfan Ahmad, Yao Sun, Ryan Michael McAdams, Su Jin Cho, William V. Stoecker, Howard Ira Maibach and Omkar Joshi. Their work appears in journals such as Skin Research and Technology, Journal of Dermatological Treatment, Cerebrovascular Diseases, Journal of Perinatology and Resources Conservation and Recycling.

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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