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Barnali Dey · Peerford

Sikkim Manipal University / Scholars

BD

Barnali Dey

Sikkim Manipal University

Also at Sikkim Manipal Universityfrom their recent papers

Publishing since 2026

Artificial Intelligence
Ophthalmology
Radiology, Nuclear Medicine and Imaging

Their record on OpenAlex
Download CV:PDF Word
Who they write with Where their co-authors are Every publication
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Publications: 22026
Citations: 1to those papers
h-index: 1i10-index 0
Field-weighted impact: 2.531.00 is the world average
World top 10%: 50%1 of 2 scored papers
Open access: 100%2 papers free to read

By year

Citations received each year

Peerford

To all their work, old papers included. Google Scholar also counts citations from theses, books and web pages, so its line runs higher.

What they work on

From the classification of each paper

Subfields

Artificial Intelligence2100%
Ophthalmology2100%
Radiology, Nuclear Medicine and Imaging2100%

Health Sciences

Publications

2 in all

Newest Most cited Oldest Title

Search their publications by title

Automatic Computer-Aided Diagnosis Tool for Glaucoma Detection Using U-Net and CNN on Retinal Fundus Images
2026Journal of Innovative Image ProcessingJournalOpen access1 citation10.36548/jiip.2026.1.008
End-to-End Glaucoma Detection using Deep Learning: Recent Progress and Perspectives
2026ITM Web of Conferences

Physical Sciences

Topics most written on

AI in cancer detection2
Glaucoma and retinal disorders2
Retinal Imaging and Analysis2

Who they write with

Their most frequent co-authors, and the papers those co-authors share

Where their co-authors are

100% of their papers have a co-author abroad

papers co-written2222222Home

Most frequent partner countries

India2

Papers with at least one author in that country.

Institutions written with most

Brainware UniversityIN2 papers
HKBK College of Engineering2 papers
Sikkim Manipal UniversityIN2 papers
Visvesvaraya Technological UniversityIN1 paper

Where they publish

ITM Web of Conferences1
Journal of Innovative Image Processing1

How it can be read

100% free to read

Diamond 2 · 100%Free to read and to publish

Development goals addressed

From each paper’s title and abstract

10Reduced inequalities2

Most cited

Automatic Computer-Aided Diagnosis Tool for Glaucoma Detection Using U-Net and CNN on Retinal Fundus Images
Journal of Innovative Image Processing10
20261 citationWorld top 10%Open access · Diamond
End-to-End Glaucoma Detection using Deep Learning: Recent Progress and Perspectives
ITM Web of Conferences10
20260 citationsOpen access · Diamond

Publication

Open access

0 citations

10.1051/itmconf/20268601024