Imran Usman

759 citations
43 papers · 640 · h-index 15

Impact in

Papers in

Imran Usman

42 papers receiving 603 citations

Peers

Imran Usman
Comparison fields: 5 of 74
  • Signal Processing 224
  • Computer Vision and Pattern Recognition 364
  • Information Systems 129
  • Human-Computer Interaction 31
  • Media Technology 46
Replace Ryszard S. Choraś with:
Ryszard S. Choraś Poland
Mohammad‐Shahram Moin Iran
Woong-Kee Loh South Korea
Sanjeev Sharma India
Yong Zhu China
Atif Bin Mansoor Pakistan
Mokhtar Sellami Algeria
Jiaxian Guo China
Youngmin Kim South Korea
Mahmoud Reza Hashemi Iran
Imran Usman relative to Ryszard S. Choraś Poland Ryszard S. Choraś's profile →
Citations per field
00.5×2×3.1×
Ryszard S. Choraś · 1×
Citations per year

Countries citing papers authored by Imran Usman

Since Specialization
Citations

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

Fields of papers citing papers by Imran Usman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201073
2 201459
3 201249
4 200947
5 201243
6 201233
7 202226
8 201426
9 201324
10 202023
11 201319
12 201419
13 202018
14 201918
15 201117
16 201214
17 201713
18
Amodel for english to urdu and hindi machine translation system using translation rules and artificial neural network.
201913
19 202410
20 202110

About Imran Usman

Imran Usman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 43 papers that have together received 640 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (17 papers), Digital Media Forensic Detection (12 papers), Chaos-based Image/Signal Encryption (11 papers), Biometric Identification and Security (10 papers), User Authentication and Security Systems (8 papers), Video Coding and Compression Technologies (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Advanced Image Fusion Techniques (2 papers). The work is most often cited by research in Signal Processing (224 citations), Computer Vision and Pattern Recognition (364 citations), Information Systems (129 citations), Human-Computer Interaction (31 citations) and Media Technology (46 citations). Imran Usman has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Farmanullah Jan, Asifullah Khan, Amir Hanif Dar, Muhammad Farhan Shafique, Shahid Khan, Mohammad A. U. Khan, Shahzad A. Malik, Muhammad Tariq Mahmood, Salah Uddin and Abdul Samad Khan. Their work appears in journals such as Multimedia Tools and Applications, Optik, Computers & Electrical Engineering, Chinese Optics Letters and Signal Processing.

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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