Sourabh Sharma

830 citations
32 papers · 506 indexed · h-index 12

Sourabh Sharma

30 papers receiving 491 citations

Peers

Sourabh Sharma
Comparison fields: 5 of 80
  • Ophthalmology 221
  • Computer Vision and Pattern Recognition 168
  • Radiology, Nuclear Medicine and Imaging 156
  • Media Technology 49
  • Developmental Neuroscience 15
Replace László G. Nyúl with:
László G. Nyúl Hungary
Dibyendu Mukherjee Canada
M.B. Stegmann Denmark
Florence Rossant France
Saeed Kermani Iran
Sharif Amit Kamran United States
Hsin‐Hua Liu Taiwan
Behzad Aliahmad Australia
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Zailiang Chen China
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Citations per year

Countries citing papers authored by Sourabh Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sourabh Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202411
2 20241
3 20242
4 20224
5 20213
6 20202
7 201974
8 20174
9 201779
10
Shape Changes of the Anterior Lamina Cribrosa in Healthy and Glaucoma Eyes following Acute Intraocular Pressure Elevations
20160
11 20163
12 201628
13 201515
14 20142
15
Study of Minimal Invasive Surgical Procedure of Liver Abscesses in Western Uttar Pradesh - A Hospital Based Study
20140
16 201320
17 201349
18 201336
19 201232
20 200910

About Sourabh Sharma

Sourabh Sharma is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 506 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (8 papers), Advanced Steganography and Watermarking Techniques (5 papers), Corneal surgery and disorders (4 papers), Retinal Diseases and Treatments (3 papers), Cloud Computing and Resource Management (3 papers), Ophthalmology and Visual Impairment Studies (3 papers), Software System Performance and Reliability (3 papers) and Digital Media Forensic Detection (3 papers). The work is most often cited by research in Ophthalmology (221 citations), Computer Vision and Pattern Recognition (168 citations) and Radiology, Nuclear Medicine and Imaging (156 citations). Sourabh Sharma has collaborated with scholars based in India, Singapore and Australia. Frequent co-authors include Harish Sharma, Tanuj Dada, Tin Aung, Chelvin C. A. Sng, A.V. Rukmini, Raymond P. Najjar, Dan Miléa, Leopold Schmetterer, Marcus Ang and Carol Y. Cheung. Their work appears in journals such as Scientific Reports, Neurosurgery and Behavioural Brain Research.

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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