Jaspreet Kaur

2.4k citations
25 papers · 195 · h-index 10

Impact in

Papers in

Jaspreet Kaur

23 papers receiving 181 citations

Peers

Jaspreet Kaur
Comparison fields: 5 of 77
  • Ophthalmology 35
  • Health Information Management 16
  • Radiology, Nuclear Medicine and Imaging 75
  • Filtration and Separation 6
  • Modeling and Simulation 11
Replace K. Nirmala with:
K. Nirmala India
Oleg O. Myakinin Russia
Naoto Shibata Japan
Priyanka Kulkarni United States
Denis A. Vrazhnov Russia
Dmitry N. Artemyev Russia
Pengyong Li China
Amrita Kaur India
Sergey V. Kozlov Russia
Xiaoli Yang China
Jaspreet Kaur relative to K. Nirmala India K. Nirmala's profile →
Citations per field
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K. Nirmala · 1×
Citations per year

Countries citing papers authored by Jaspreet Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Jaspreet Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202224
2 202221
3 202216
4 200516
5
Automated Detection of Retinal Blood Vessels in Diabetic Retinopathy Using Gabor Filter
201215
6 202315
7 201514
8 201712
9 201611
10
An Efficient Blood Vessel Detection Algorithm For Retinal Images Using Local Entropy Thresholding
201211
11 20237
12 20166
13 20215
14 20245
15 20065
16 20232
17 20242
18 20242
19 20062
20 20231

About Jaspreet Kaur

Jaspreet Kaur is a scholar working on Radiology, Nuclear Medicine and Imaging, Organic Chemistry, Ophthalmology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 195 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), AI in cancer detection (5 papers), Digital Imaging for Blood Diseases (4 papers), Retinal Diseases and Treatments (4 papers), COVID-19 diagnosis using AI (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Ophthalmology (35 citations), Health Information Management (16 citations), Radiology, Nuclear Medicine and Imaging (75 citations), Filtration and Separation (6 citations) and Modeling and Simulation (11 citations). Jaspreet Kaur has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Prabhpreet Kaur, A. S. Brar, Pankaj Singla, Srinivasan Natesan, Sumandeep Kaur, Baljeet Kaur, Komal Komal, Jerry P. Jasinski, Tarlok S. Banipal and Tarlok S. Lobana. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, European Polymer Journal, Wireless Personal Communications, Food Chemistry and Polymer Journal.

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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