Mustafa Munir
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
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- Brain Tumor Detection and Classification
Papers in
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Visual Attention and Saliency Detection 2
- Medical Image Segmentation Techniques 1
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- Advancements in Semiconductor Devices and Circuit Design 2
- Semiconductor materials and devices 2
- Ferroelectric and Negative Capacitance Devices 1
- Co-authors
- Md Mostafijur Rahman (2 shared papers)Radu Mărculescu (7 shared papers)Md. Mostafijur Rahman (2 shared papers)Massoud Pedram (2 shared papers)Debesh Jha (1 shared paper)Shahin Nazarian (2 shared papers)Ulaş Bağcı (1 shared paper)Tanvir Mahmud (1 shared paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Mustafa Munir
9 papers receiving 198 citations
Mustafa Munir's Hit Papers
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 97
- Neurology 22
- Media Technology 16
- Industrial and Manufacturing Engineering 15
- Radiology, Nuclear Medicine and Imaging 29
Countries citing papers authored by Mustafa Munir
This map shows the geographic impact of Mustafa 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 Mustafa Munir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mustafa Munir more than expected).
Fields of papers citing papers by Mustafa Munir
This network shows the impact of papers produced by Mustafa 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 Mustafa Munir. The network helps show where Mustafa Munir may publish in the future.
Co-authors
The 10 scholars most cited alongside Mustafa 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
| # | Work | ||
|---|---|---|---|
| 1 | EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation Hit paper breakdown → | 2024 | 135 |
| 2 | 2023 | 33 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2021 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2021 | 2 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Mustafa Munir
Mustafa Munir is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 11 papers that have together received 200 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Semiconductor materials and devices (2 papers), Visual Attention and Saliency Detection (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), Energy Efficient Wireless Sensor Networks (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (97 citations), Neurology (22 citations), Media Technology (16 citations), Industrial and Manufacturing Engineering (15 citations) and Radiology, Nuclear Medicine and Imaging (29 citations). Mustafa Munir has collaborated with scholars based in United States and South Korea. Frequent co-authors include Md Mostafijur Rahman, Radu Mărculescu, Md. Mostafijur Rahman, Massoud Pedram, Debesh Jha, Shahin Nazarian, Ulaş Bağcı, Tanvir Mahmud, Alex Zhang and Diana Marculescu. Their work appears in journals such as IEEE Access and IEEE Transactions on Applied Superconductivity.
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.