Asim Munir
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
- Face and Expression Recognition
Papers in
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- Image and Signal Denoising Methods 4
- Face and Expression Recognition 3
- Image Enhancement Techniques 2
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- AI in cancer detection 3
- Co-authors
- Tariq Sadad (5 shared papers)Ayyaz Hussain (8 shared papers)Tanzila Saba (2 shared papers)Usman Tariq (2 shared papers)Noor Ayesha (1 shared paper)Amjad Rehman (1 shared paper)Rashid Abbasi (1 shared paper)Muhammad Nadeem (4 shared papers)
- Journals
- Microscopy Research and Technique (2 papers)IEEE Access (2 papers)Journal of Computational Science (1 paper)The Visual Computer (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- PakistanSaudi ArabiaUnited Kingdom
In The Last Decade
Asim Munir
19 papers receiving 468 citations
Peers
Comparison fields: 5 of 72
- Neurology 170
- Computer Vision and Pattern Recognition 245
- Radiology, Nuclear Medicine and Imaging 126
- Artificial Intelligence 181
- Media Technology 46
Countries citing papers authored by Asim Munir
This map shows the geographic impact of Asim Munir'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 Asim Munir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asim Munir more than expected).
Fields of papers citing papers by Asim Munir
This network shows the impact of papers produced by Asim Munir. 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 Asim Munir. The network helps show where Asim Munir may publish in the future.
Co-authors
The 25 scholars most cited alongside Asim Munir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 166 | |
| 2 | 2018 | 92 | |
| 3 | 2020 | 45 | |
| 4 | 2018 | 40 | |
| 5 | 2022 | 39 | |
| 6 | 2019 | 20 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2017 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2011 | 4 | |
| 16 | 2005 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2007 | 1 |
About Asim Munir
Asim Munir is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Experimental and Cognitive Psychology, having authored 21 papers that have together received 494 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Face and Expression Recognition (3 papers), Emotion and Mood Recognition (3 papers), AI in cancer detection (3 papers), Image Enhancement Techniques (2 papers), Brain Tumor Detection and Classification (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Neurology (170 citations), Computer Vision and Pattern Recognition (245 citations), Radiology, Nuclear Medicine and Imaging (126 citations), Artificial Intelligence (181 citations) and Media Technology (46 citations). Asim Munir has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Tariq Sadad, Ayyaz Hussain, Tanzila Saba, Usman Tariq, Noor Ayesha, Amjad Rehman, Rashid Abbasi, Muhammad Nadeem, Sajid Ali Khan and Hafiz Tayyab Rauf. Their work appears in journals such as Microscopy Research and Technique, IEEE Access, Journal of Computational Science, The Visual Computer and Multimedia Tools and Applications.
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.