Mohammad A. U. Khan

2.0k citations
89 papers · 1.3k indexed · h-index 22

Mohammad A. U. Khan

82 papers receiving 1.2k citations

Peers

Mohammad A. U. Khan
Comparison fields: 5 of 107
  • Ophthalmology 457
  • Computer Vision and Pattern Recognition 839
  • Radiology, Nuclear Medicine and Imaging 664
  • Media Technology 124
  • Signal Processing 126
Replace Santi P. Maity with:
Santi P. Maity India
Lai Jiang China
R. Perfetti Italy
Yan Hu China
V. K. Govindan India
M. Madheswaran India
Syed Junaid Nawaz Pakistan
Haiying Xia China
Luís A. da Silva Cruz Portugal
Wei Hu China
Mohammad A. U. Khan relative to Santi P. Maity India Santi P. Maity's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mohammad A. U. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad A. U. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad A. U. Khan. 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 Mohammad A. U. Khan. The network helps show where Mohammad A. U. Khan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20210
3 202147
4 20218
5 20202
6 20167
7 201629
8 201632
9 20151
10 201110
11 201112
12 201021
13 201010
14
Vessel Enhancement in Angiography Images using Decimation-Free Directional Filter Bank.
20071
15 20076
16 20065
17 20060
18 20064
19 20060
20 20047

About Mohammad A. U. Khan

Mohammad A. U. Khan is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Signal Processing, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (25 papers), Glaucoma and retinal disorders (17 papers), Medical Image Segmentation Techniques (14 papers), Biometric Identification and Security (13 papers), Digital Imaging for Blood Diseases (11 papers), Retinal Diseases and Treatments (11 papers), Image and Signal Denoising Methods (10 papers) and Advanced Steganography and Watermarking Techniques (9 papers). The work is most often cited by research in Ophthalmology (457 citations), Computer Vision and Pattern Recognition (839 citations) and Radiology, Nuclear Medicine and Imaging (664 citations). Mohammad A. U. Khan has collaborated with scholars based in Saudi Arabia, Pakistan and Australia. Frequent co-authors include Tariq M. Khan, Yinan Kong, Junbin Gao, Manoranjan Paul, Donald G. Bailey, Toufique Ahmed Soomro, Sungyoung Lee, Syed S. Naqvi, Lihong Zheng and Tae‐Seong Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Computational Physics.

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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