Atul Bansal

1.9k citations
59 papers · 1.2k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Atul Bansal

51 papers receiving 1.1k citations

Hit Papers

Fruits and vegetables quality evaluation using computer vision: A review 2018 · 402 citations
4022018202620202023100200300400

Peers

Atul Bansal
Comparison fields: 5 of 115
  • Analytical Chemistry 400
  • Ophthalmology 155
  • Plant Science 519
  • Signal Processing 110
  • Computer Vision and Pattern Recognition 186
Replace Kemal Adem with:
Kemal Adem Türkiye
Kashif Javed Pakistan
Prabira Kumar Sethy India
Santi Kumari Behera India
Shagun Sharma India
Huihua Yang China
Muhammet Fatih Aslan Türkiye
Sweta Jain India
L V Narasimha Prasad India
Atul Bansal relative to Kemal Adem Türkiye Kemal Adem's profile →
Citations per field
00.5×10×20×30×41×
Kemal Adem · 1×
Citations per year

Countries citing papers authored by Atul Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Atul Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20237
4 202228
5 20220
6 202143
7 20204
8 20187
9 20173
10 20173
11 20165
12
Comparative analysis of LSB, DCT and DWT for Digital Watermarking
201515
13 20134
14 20105
15 200912
16 200517
17 200522
18 20026
19 199940
20 199524

About Atul Bansal

Atul Bansal is a scholar working on Ophthalmology, Signal Processing, Computer Vision and Pattern Recognition, Analytical Chemistry and Safety Research, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biometric Identification and Security (13 papers), Smart Agriculture and AI (7 papers), Intraocular Surgery and Lenses (7 papers), Spectroscopy and Chemometric Analyses (6 papers), User Authentication and Security Systems (6 papers), Digital Imaging for Blood Diseases (5 papers), Forensic Fingerprint Detection Methods (5 papers) and Corneal surgery and disorders (5 papers). The work is most often cited by research in Analytical Chemistry (400 citations), Ophthalmology (155 citations), Plant Science (519 citations), Signal Processing (110 citations) and Computer Vision and Pattern Recognition (186 citations). Atul Bansal has collaborated with scholars based in India, United Kingdom and Iraq. Frequent co-authors include Anuja Bhargava, Vishal Goyal, Ravinder Agarwal, Aasheesh Shukla, Diwakar Agarwal, Rajendra Kumar Sharma, Rasik B. Vajpayee, Rajiv Kumar Sharma, Simon N. Madge and Vijay Dada. Their work appears in journals such as Multimedia Tools and Applications, Journal of Glaucoma, Journal of Cataract & Refractive Surgery, Food Analytical Methods and Journal of King Saud University - Computer and Information Sciences.

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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