Mohith Shamdas

1.8k citations
10 papers · 1.1k · 1 hit paper · h-index 6

Impact in

Papers in

    • Retinal and Optic Conditions 3
    • Ocular Diseases and Behçet’s Syndrome 3
    • Retinal Diseases and Treatments 2
    • Dermatology and Skin Diseases 2
    • Dermatologic Treatments and Research 1

Mohith Shamdas

10 papers receiving 1.1k citations

Mohith Shamdas's Hit Papers

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis 2019 · 1.0k citations
1.0k0+2+4Years since publication2505007501000

Peers

Mohith Shamdas
Comparison fields: 5 of 131
  • Health Informatics 452
  • Health Information Management 101
  • Radiology, Nuclear Medicine and Imaging 478
  • Artificial Intelligence 368
  • Family Practice 25
Replace Alice Bruynseels with:
Alice Bruynseels United Kingdom
Aditya U. Kale United Kingdom
Thushika Mahendiran United Kingdom
Joseph R. Ledsam United Kingdom
Christopher A. Lovejoy United Kingdom
Luke Oakden‐Rayner Australia
Gabriella Moraes United Kingdom
John R. Zech United States
Emma Chen United States
Mustafa Suleyman United Kingdom
Mohith Shamdas relative to Alice Bruynseels United Kingdom Alice Bruynseels's profile →
Citations per field
00.5×1.5×
Alice Bruynseels · 1×
Citations per year

Countries citing papers authored by Mohith Shamdas

Since Specialization
Citations

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

Fields of papers citing papers by Mohith Shamdas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Hit paper breakdown →
20191020
2 201818
3 202217
4 201914
5 20197
6 20226
7 20203
8 20202
9
Conjunctivitis due to Dupilumab Treatment in Atopic Dermatitis: Clinical features and impact on gut microbiome
20191
10 20151

About Mohith Shamdas

Mohith Shamdas is a scholar working on Ophthalmology, Dermatology, Radiology, Nuclear Medicine and Imaging, Health Informatics and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal and Optic Conditions (3 papers), Ocular Diseases and Behçet’s Syndrome (3 papers), COVID-19 diagnosis using AI (2 papers), Dermatology and Skin Diseases (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Retinal Diseases and Treatments (2 papers), Innovations in Medical Education (1 paper) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Health Informatics (452 citations), Health Information Management (101 citations), Radiology, Nuclear Medicine and Imaging (478 citations), Artificial Intelligence (368 citations) and Family Practice (25 citations). Mohith Shamdas has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Alice Bruynseels, Gabriella Moraes, Konstantinos Balaskas, Aditya U. Kale, Christoph Kern, Alastair K. Denniston, Dun Jack Fu, Pearse A. Keane, Lucas M. Bachmann and Livia Faes. Their work appears in journals such as Ocular Immunology and Inflammation, Frontiers in Cellular and Infection Microbiology, British Journal of Ophthalmology, The Clinical Teacher and Eye.

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.

Explore authors with similar magnitude of impact