Usman Akram

44 papers receiving 632 citations

Peers

Usman Akram
Comparison fields: 5 of 104
  • Ophthalmology 118
  • Health Information Management 41
  • Radiology, Nuclear Medicine and Imaging 183
  • Computer Vision and Pattern Recognition 150
  • Cardiology and Cardiovascular Medicine 130
Replace Tati L. R. Mengko with:
Tati L. R. Mengko Indonesia
Zhenjie Yao China
Younhyun Jung South Korea
Necaattin Barışçı Türkiye
Shamik Tiwari India
Leandro A. Passos Brazil
Eman M. El-Gendy Egypt
Mustafa Ghaderzadeh Iran
Sudanthi Wijewickrema Australia
K. Swaraja India
Usman Akram relative to Tati L. R. Mengko Indonesia Tati L. R. Mengko's profile →
Citations per field
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Tati L. R. Mengko · 1×
Citations per year

Countries citing papers authored by Usman Akram

Since Specialization
Citations

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

Fields of papers citing papers by Usman Akram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201878
2 201167
3 202164
4 201956
5 201645
6 201541
7 202235
8 201428
9 202226
10 201825
11 202518
12 201517
13 202116
14 201213
15 202213
16 202010
17 201710
18 20199
19
The constant threat of terrorism: stress levels and coping strategies amongst university students of Karachi.
20119
20 20139

About Usman Akram

Usman Akram is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Ophthalmology, Artificial Intelligence and Biomedical Engineering, having authored 47 papers that have together received 667 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (6 papers), Digital Imaging for Blood Diseases (4 papers), Advanced Neural Network Applications (3 papers), Music and Audio Processing (3 papers), EEG and Brain-Computer Interfaces (3 papers), Phonocardiography and Auscultation Techniques (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Ophthalmology (118 citations), Health Information Management (41 citations), Radiology, Nuclear Medicine and Imaging (183 citations), Computer Vision and Pattern Recognition (150 citations) and Cardiology and Cardiovascular Medicine (130 citations). Usman Akram has collaborated with scholars based in Pakistan, United States and Zimbabwe. Frequent co-authors include Imran Siddiqi, Shoab Ahmed Khan, Ali Javed, Muhammad Tariq Mahmood, Aun Irtaza, Tahira Nazir, Farooq Aftab, Sara Ayub, Arslan Shaukat and Jamil Ahmad. Their work appears in journals such as Artificial Intelligence in Medicine, Scientific Reports, Foot & Ankle Specialist, Biomedical Signal Processing and Control and International Journal of Food Properties.

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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