Akhtar Jamıl
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in
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- Anomaly Detection Techniques and Applications 5
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- Handwritten Text Recognition Techniques 7
- Image Retrieval and Classification Techniques 5
- Advanced Neural Network Applications 3
- Co-authors
- Jawad Rasheed (13 shared papers)Alaa Ali Hameed (31 shared papers)Aftab Ahmed Khan (6 shared papers)Dostdar Hussain (5 shared papers)Amani Yahyaoui (2 shared papers)Fadi Al‐Turjman (2 shared papers)Chawki Djeddi (5 shared papers)Syed Ali Asad Naqvi (2 shared papers)
In The Last Decade
Akhtar Jamıl
55 papers receiving 804 citations
Peers
Comparison fields: 5 of 118
- Health Information Management 148
- Health Informatics 38
- Artificial Intelligence 298
- Radiology, Nuclear Medicine and Imaging 213
- Computer Vision and Pattern Recognition 156
Countries citing papers authored by Akhtar Jamıl
This map shows the geographic impact of Akhtar Jamıl'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 Akhtar Jamıl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhtar Jamıl more than expected).
Fields of papers citing papers by Akhtar Jamıl
This network shows the impact of papers produced by Akhtar Jamıl. 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 Akhtar Jamıl. The network helps show where Akhtar Jamıl may publish in the future.
Co-authors
The 25 scholars most cited alongside Akhtar Jamıl, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 132 | |
| 2 | 2021 | 115 | |
| 3 | 2020 | 104 | |
| 4 | 2020 | 73 | |
| 5 | 2020 | 47 | |
| 6 | 2021 | 40 | |
| 7 | 2011 | 29 | |
| 8 | 2021 | 29 | |
| 9 | 2020 | 26 | |
| 10 | 2017 | 22 | |
| 11 | 2019 | 21 | |
| 12 | 2020 | 18 | |
| 13 | 2022 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2012 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2016 | 9 | |
| 20 | 2019 | 6 |
About Akhtar Jamıl
Akhtar Jamıl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Signal Processing and Atmospheric Science, having authored 58 papers that have together received 837 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Handwritten Text Recognition Techniques (7 papers), Remote Sensing in Agriculture (5 papers), Anomaly Detection Techniques and Applications (5 papers), Image Retrieval and Classification Techniques (5 papers), Artificial Intelligence in Healthcare (4 papers), Cryospheric studies and observations (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Health Information Management (148 citations), Health Informatics (38 citations), Artificial Intelligence (298 citations), Radiology, Nuclear Medicine and Imaging (213 citations) and Computer Vision and Pattern Recognition (156 citations). Akhtar Jamıl has collaborated with scholars based in Türkiye, Pakistan and Algeria. Frequent co-authors include Jawad Rasheed, Alaa Ali Hameed, Aftab Ahmed Khan, Dostdar Hussain, Amani Yahyaoui, Fadi Al‐Turjman, Chawki Djeddi, Syed Ali Asad Naqvi, Tahir Hussain and Imran Siddiqi. Their work appears in journals such as Advances in Space Research, Complex & Intelligent Systems, Computational Intelligence and Neuroscience, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 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.