Muhammad Afzal
Impact in
-
- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
- Health Informatics top 10%
Papers in
-
- Electronic Health Records Systems 14
- Artificial Intelligence in Healthcare 9
-
- Semantic Web and Ontologies 10
- Machine Learning in Healthcare 6
- Co-authors
- Sungyoung Lee (47 shared papers)Maqbool Hussain (47 shared papers)Wajahat Ali Khan (34 shared papers)Jamil Hussain (16 shared papers)Taqdir Ali (22 shared papers)Aamir Nusair Khan (3 shared papers)Muhammad Ajmal (3 shared papers)Byeong Ho Kang (14 shared papers)
- Journals
- Journal of Medical Internet Research (4 papers)IEEE Access (4 papers)Telemedicine Journal and e-Health (3 papers)Sensors (3 papers)Journal of Biomedical Informatics (3 papers)
- Partner nations
- South KoreaPakistanAustralia
In The Last Decade
Muhammad Afzal
90 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 131
- Health Information Management 185
- Health Informatics 26
- Human-Computer Interaction 105
- Applied Psychology 54
- Artificial Intelligence 369
Countries citing papers authored by Muhammad Afzal
This map shows the geographic impact of Muhammad Afzal'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 Muhammad Afzal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Afzal more than expected).
Fields of papers citing papers by Muhammad Afzal
This network shows the impact of papers produced by Muhammad Afzal. 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 Muhammad Afzal. The network helps show where Muhammad Afzal may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Afzal, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2013 | 74 | |
| 3 | 2014 | 55 | |
| 4 | 2019 | 48 | |
| 5 | 2023 | 45 | |
| 6 | 2018 | 44 | |
| 7 | 2016 | 43 | |
| 8 | 2017 | 42 | |
| 9 | 2020 | 42 | |
| 10 | 2015 | 41 | |
| 11 | 2013 | 36 | |
| 12 | 2015 | 35 | |
| 13 | 2017 | 31 | |
| 14 | 2017 | 27 | |
| 15 | 2018 | 27 | |
| 16 | 2017 | 26 | |
| 17 | 2013 | 25 | |
| 18 | 2015 | 24 | |
| 19 | 2017 | 24 | |
| 20 | 2018 | 24 |
About Muhammad Afzal
Muhammad Afzal is a scholar working on Health Information Management, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Management Information Systems, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (17 papers), Electronic Health Records Systems (14 papers), Context-Aware Activity Recognition Systems (11 papers), Service-Oriented Architecture and Web Services (11 papers), Semantic Web and Ontologies (10 papers), Artificial Intelligence in Healthcare (9 papers), Advanced materials and composites (6 papers) and Machine Learning in Healthcare (6 papers). The work is most often cited by research in Health Information Management (185 citations), Health Informatics (26 citations), Human-Computer Interaction (105 citations), Applied Psychology (54 citations) and Artificial Intelligence (369 citations). Muhammad Afzal has collaborated with scholars based in South Korea, Pakistan and Australia. Frequent co-authors include Sungyoung Lee, Maqbool Hussain, Wajahat Ali Khan, Jamil Hussain, Taqdir Ali, Aamir Nusair Khan, Muhammad Ajmal, Byeong Ho Kang, Rahman Ali and Hafiz Syed Muhammad Bilal. Their work appears in journals such as Journal of Medical Internet Research, IEEE Access, Telemedicine Journal and e-Health, Sensors and Journal of Biomedical Informatics.
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.