Mujtaba Husnain
Impact in
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- Artificial Intelligence in Healthcare
- Media Technology top 10%
- Vehicle License Plate Recognition
Papers in
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- Advanced Text Analysis Techniques 6
- Sentiment Analysis and Opinion Mining 4
- Topic Modeling 3
- Text and Document Classification Technologies 2
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- Image Processing and 3D Reconstruction 3
- Handwritten Text Recognition Techniques 3
- Co-authors
- Malik Muhammad Saad Missen (11 shared papers)Shahzad Mumtaz (6 shared papers)Mickaël Coustaty (7 shared papers)Ali Samad (6 shared papers)Sikandar Ali (5 shared papers)Muhammad Muzzamil Luqman (4 shared papers)Gyu Sang Choi (4 shared papers)Jean-Marc Ogier (3 shared papers)
- Journals
- Symmetry (3 papers)Applied Sciences (2 papers)IEEE Access (2 papers)International Journal of Food Properties (1 paper)Frontiers of Computer Science (1 paper)
- Partner nations
- PakistanFranceSouth Korea
In The Last Decade
Mujtaba Husnain
18 papers receiving 245 citations
Peers
Comparison fields: 5 of 75
- Health Information Management 31
- Media Technology 34
- Artificial Intelligence 105
- Computer Vision and Pattern Recognition 62
- Analytical Chemistry 21
Countries citing papers authored by Mujtaba Husnain
This map shows the geographic impact of Mujtaba Husnain'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 Mujtaba Husnain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mujtaba Husnain more than expected).
Fields of papers citing papers by Mujtaba Husnain
This network shows the impact of papers produced by Mujtaba Husnain. 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 Mujtaba Husnain. The network helps show where Mujtaba Husnain may publish in the future.
Co-authors
The 25 scholars most cited alongside Mujtaba Husnain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 40 | |
| 2 | 2019 | 37 | |
| 3 | 2019 | 33 | |
| 4 | 2019 | 30 | |
| 5 | 2019 | 25 | |
| 6 | 2022 | 23 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2020 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2021 | 0 | |
| 20 | 2025 | 0 |
About Mujtaba Husnain
Mujtaba Husnain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 20 papers that have together received 256 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (6 papers), Sentiment Analysis and Opinion Mining (4 papers), Image Processing and 3D Reconstruction (3 papers), Vehicle License Plate Recognition (3 papers), Handwritten Text Recognition Techniques (3 papers), Topic Modeling (3 papers), Computational Drug Discovery Methods (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Health Information Management (31 citations), Media Technology (34 citations), Artificial Intelligence (105 citations), Computer Vision and Pattern Recognition (62 citations) and Analytical Chemistry (21 citations). Mujtaba Husnain has collaborated with scholars based in Pakistan, France and South Korea. Frequent co-authors include Malik Muhammad Saad Missen, Shahzad Mumtaz, Mickaël Coustaty, Ali Samad, Sikandar Ali, Muhammad Muzzamil Luqman, Gyu Sang Choi, Jean-Marc Ogier, Salman Qadri and Dost Muhammad Khan. Their work appears in journals such as Symmetry, Applied Sciences, IEEE Access, International Journal of Food Properties and Frontiers of Computer Science.
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.