Ankit Mathur

976 citations
29 papers · 775 · h-index 16

Impact in

    • Ophthalmology and Visual Impairment Studies
    • Intraocular Surgery and Lenses
    • Retinal Diseases and Treatments

Papers in

Ankit Mathur

29 papers receiving 718 citations

Peers

Ankit Mathur
Comparison fields: 5 of 40
  • Epidemiology 567
  • Ophthalmology 129
  • Radiology, Nuclear Medicine and Imaging 95
  • Cognitive Neuroscience 61
  • Human-Computer Interaction 21
Replace Dolores de Fez Sáiz with:
Dolores de Fez Sáiz Spain
Arne Ohlendorf Germany
Abhiram S. Vilupuru United States
Balamurali V. Vasudevan United States
Pierre Simonet Canada
Ronald B. Rabbetts United Kingdom
Fernando Díaz-Doutón Spain
Glyn Walsh United Kingdom
Richard Legras France
Tobias Büehren Australia
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Citations per field
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Dolores de Fez Sáiz · 1×
Citations per year

Countries citing papers authored by Ankit Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201294
2 201460
3 200959
4 201356
5 200854
6 201149
7 200943
8 200942
9 201639
10 200932
11 201430
12 201327
13 201526
14 201025
15 201324
16 201520
17 201416
18 201014
19 201214
20 201013

About Ankit Mathur

Ankit Mathur is a scholar working on Epidemiology, Ophthalmology, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 29 papers that have together received 775 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (23 papers), Adaptive optics and wavefront sensing (5 papers), Retinal Diseases and Treatments (3 papers), Corneal surgery and disorders (3 papers), Visual perception and processing mechanisms (3 papers), Bioinformatics and Genomic Networks (2 papers), Optical measurement and interference techniques (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Epidemiology (567 citations), Ophthalmology (129 citations), Radiology, Nuclear Medicine and Imaging (95 citations), Cognitive Neuroscience (61 citations) and Human-Computer Interaction (21 citations). Ankit Mathur has collaborated with scholars based in Australia, United Kingdom and India. Frequent co-authors include David A. Atchison, Julia Gehrmann, W. N. Charman, JAMES M. POPE, Pavan K. Verkicharla, Marwan Suheimat, Edward A. H. Mallen, Nathan Efron, Saulius R. Varnas and Katie P. Edwards. Their work appears in journals such as Optometry and Vision Science, Investigative Ophthalmology & Visual Science, Journal of Vision, Biomedical Optics Express and Scientific Reports.

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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