Taqdir Ali
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
Papers in
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- Biomedical Text Mining and Ontologies 19
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- Electronic Health Records Systems 11
- Artificial Intelligence in Healthcare 9
- Co-authors
- Sungyoung Lee (28 shared papers)Wajahat Ali Khan (21 shared papers)Muhammad Afzal (20 shared papers)Jin Joo Park (1 shared paper)Maqbool Hussain (17 shared papers)Dong‐Ju Choi (2 shared papers)Byeong Ho Kang (12 shared papers)Jamil Hussain (12 shared papers)
- Journals
- Sensors (4 papers)Telemedicine Journal and e-Health (2 papers)International Journal of Environmental Research and Public Health (2 papers)Ionics (2 papers)Computer Methods and Programs in Biomedicine (2 papers)
- Partner nations
- South KoreaPakistanAustralia
In The Last Decade
Taqdir Ali
37 papers receiving 428 citations
Peers
Comparison fields: 5 of 103
- Health Informatics 38
- Health Information Management 117
- Artificial Intelligence 148
- Computer Vision and Pattern Recognition 73
- Applied Psychology 16
Countries citing papers authored by Taqdir Ali
This map shows the geographic impact of Taqdir Ali'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 Taqdir Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taqdir Ali more than expected).
Fields of papers citing papers by Taqdir Ali
This network shows the impact of papers produced by Taqdir Ali. 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 Taqdir Ali. The network helps show where Taqdir Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Taqdir Ali, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 89 | |
| 2 | 2016 | 33 | |
| 3 | 2020 | 26 | |
| 4 | 2017 | 25 | |
| 5 | 2018 | 22 | |
| 6 | 2015 | 20 | |
| 7 | 2014 | 20 | |
| 8 | 2015 | 19 | |
| 9 | 2015 | 15 | |
| 10 | 2019 | 13 | |
| 11 | 2015 | 13 | |
| 12 | 2015 | 12 | |
| 13 | 2015 | 12 | |
| 14 | 2017 | 11 | |
| 15 | 2013 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2021 | 7 |
About Taqdir Ali
Taqdir Ali is a scholar working on Molecular Biology, Health Information Management, Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions, having authored 40 papers that have together received 440 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (19 papers), Electronic Health Records Systems (11 papers), Artificial Intelligence in Healthcare (9 papers), Context-Aware Activity Recognition Systems (7 papers), Machine Learning in Healthcare (7 papers), Semantic Web and Ontologies (6 papers), Mobile Health and mHealth Applications (5 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Health Informatics (38 citations), Health Information Management (117 citations), Artificial Intelligence (148 citations), Computer Vision and Pattern Recognition (73 citations) and Applied Psychology (16 citations). Taqdir Ali has collaborated with scholars based in South Korea, Pakistan and Australia. Frequent co-authors include Sungyoung Lee, Wajahat Ali Khan, Muhammad Afzal, Jin Joo Park, Maqbool Hussain, Dong‐Ju Choi, Byeong Ho Kang, Jamil Hussain, Sungyoung Lee and Rahman Ali. Their work appears in journals such as Sensors, Telemedicine Journal and e-Health, International Journal of Environmental Research and Public Health, Ionics and Computer Methods and Programs in Biomedicine.
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.