Atif Mehmood
- Neurology top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Health Information Management top 1%
- Co-authors
- Said M. EasaShuyuan YangMuazzam MaqsoodMuhammad YaqubMuzaffar BashirRizwan KhanAhmad Al SmadiMin Wang
- Topics
- Brain Tumor Detection and Classification (11 papers)Image Enhancement Techniques (10 papers)AI in cancer detection (8 papers)
- Partner nations
- ChinaPakistanUnited Arab Emirates
In The Last Decade
Atif Mehmood
59 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Neurology 385
- Artificial Intelligence 359
- Computer Vision and Pattern Recognition 249
- Radiology, Nuclear Medicine and Imaging 169
- Health Information Management 115
Countries citing papers authored by Atif Mehmood
This map shows the geographic impact of Atif Mehmood'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 Atif Mehmood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atif Mehmood more than expected).
Fields of papers citing papers by Atif Mehmood
This network shows the impact of papers produced by Atif Mehmood. 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 Atif Mehmood. The network helps show where Atif Mehmood may publish in the future.
Co-authorship network of co-authors of Atif Mehmood
This figure shows the co-authorship network connecting the top 25 collaborators of Atif Mehmood. A scholar is included among the top collaborators of Atif Mehmood 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 Atif Mehmood. Atif Mehmood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Imagesbreakdown → | 190 |
| 17 | 7 | |
| 18 | 0 | |
| 19 | Convective Heat Transfer Study of ZnO Nanofluids and a Comparison with the Conventional Coolant Water | 2 |
| 20 | Development and validation of automated methods for finished product testing | 1 |
About Atif Mehmood
Atif Mehmood is a scholar working on Neurology, Computer Vision and Pattern Recognition and Media Technology, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (11 papers), Image Enhancement Techniques (10 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Neurology (385 citations), Health Information Management (115 citations) and Health Informatics (21 citations). Atif Mehmood has collaborated with scholars based in China, Pakistan and United Arab Emirates. Frequent co-authors include Said M. Easa, Shuyuan Yang, Muazzam Maqsood, Muhammad Yaqub, Muzaffar Bashir, Rizwan Khan, Ahmad Al Smadi, Min Wang, Zhixi Feng and Jinchao Feng. Their work appears in journals such as Scientific Reports, Brain Research and Neuroscience.
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.