Mubashir Ahmad
- Neurology top 5%
- Brain Tumor Detection and Classification 4
-
- Radiomics and Machine Learning in Medical Imaging 3
-
- Medical Image Segmentation Techniques 3
- Artificial Intelligence top 5%
- AI in cancer detection 4
-
- Medical Imaging and Analysis 6
-
- Spinal Fractures and Fixation Techniques 5
-
- Spine and Intervertebral Disc Pathology 3
-
- Dental Radiography and Imaging 2
- Co-authors
- Syed Furqan QadriSalman QadriIftikhar Ahmed SaeedDanni AiYongtian WangSalabat KhanLinlin ShenYong Huang
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Communications Surveys & Tutorials (1 paper)IEEE Access (4 papers)
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Mubashir Ahmad
27 papers receiving 677 citations
Peers
Comparison fields: 5 of 110
- Neurology 142
- Radiology, Nuclear Medicine and Imaging 268
- Computer Vision and Pattern Recognition 218
- Artificial Intelligence 329
- Health Information Management 33
Countries citing papers authored by Mubashir Ahmad
This map shows the geographic impact of Mubashir Ahmad'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 Mubashir Ahmad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mubashir Ahmad more than expected).
Fields of papers citing papers by Mubashir Ahmad
This network shows the impact of papers produced by Mubashir Ahmad. 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 Mubashir Ahmad. The network helps show where Mubashir Ahmad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mubashir Ahmad, 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 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 66 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2022 | 45 | |
| 11 | 2022 | 38 | |
| 12 | 2021 | 160 | |
| 13 | 2021 | 50 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 101 | |
| 18 | 2018 | 56 | |
| 19 | Epidemiology of Eimeria and associated risk factors in goats of district Toba Tek Singh, Pakistan | 2012 | 3 |
| 20 | 2010 | 8 |
About Mubashir Ahmad
Mubashir Ahmad is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 29 papers that have together received 715 indexed citations. Recurring topics across this work include Medical Imaging and Analysis (6 papers), Spinal Fractures and Fixation Techniques (5 papers), Brain Tumor Detection and Classification (4 papers), AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Image Segmentation Techniques (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and Dental Radiography and Imaging (2 papers). The work is most often cited by research in Neurology (142 citations), Radiology, Nuclear Medicine and Imaging (268 citations) and Computer Vision and Pattern Recognition (218 citations). Mubashir Ahmad has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Syed Furqan Qadri, Salman Qadri, Iftikhar Ahmed Saeed, Danni Ai, Yongtian Wang, Salabat Khan, Linlin Shen, Yong Huang, Jian Yang and Ahmed Mohammed Alghamdi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Access.
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.