Mehdi Hassan
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Co-authors
- Asifullah KhanJin Young KimSafdar AliHani AlquhayzKashif KifayatJunhao WenSyed Fahad TahirMuhammad Mateen
- Topics
- Medical Image Segmentation Techniques (7 papers)Cerebrovascular and Carotid Artery Diseases (6 papers)Cardiovascular Health and Disease Prevention (6 papers)
- Partner nations
- PakistanSouth KoreaSaudi Arabia
In The Last Decade
Mehdi Hassan
42 papers receiving 686 citations
Peers
Comparison fields: 5 of 113
- Radiology, Nuclear Medicine and Imaging 227
- Computer Vision and Pattern Recognition 215
- Artificial Intelligence 201
- Pulmonary and Respiratory Medicine 79
- Biomedical Engineering 68
Countries citing papers authored by Mehdi Hassan
This map shows the geographic impact of Mehdi Hassan'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 Mehdi Hassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Hassan more than expected).
Fields of papers citing papers by Mehdi Hassan
This network shows the impact of papers produced by Mehdi Hassan. 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 Mehdi Hassan. The network helps show where Mehdi Hassan may publish in the future.
Co-authorship network of co-authors of Mehdi Hassan
This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Hassan. A scholar is included among the top collaborators of Mehdi Hassan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mehdi Hassan. Mehdi Hassan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 65 | |
| 10 | 79 | |
| 11 | 37 | |
| 12 | 20 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 6 | |
| 16 | 24 | |
| 17 | 30 | |
| 18 | 53 | |
| 19 | 27 | |
| 20 | Myasthenia gravis and pemphigus vulgaris. | 7 |
About Mehdi Hassan
Mehdi Hassan is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 46 papers that have together received 722 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Cerebrovascular and Carotid Artery Diseases (6 papers) and Cardiovascular Health and Disease Prevention (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (215 citations), Radiology, Nuclear Medicine and Imaging (227 citations) and Biophysics (52 citations). Mehdi Hassan has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Asifullah Khan, Jin Young Kim, Safdar Ali, Hani Alquhayz, Kashif Kifayat, Junhao Wen, Syed Fahad Tahir, Muhammad Mateen, Song Sun and Nasrullah Nasrullah. Their work appears in journals such as Scientific Reports, IEEE Access and Technological Forecasting and Social Change.
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.