Ali Samad
Impact in
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- Artificial Intelligence in Healthcare
- Medical Laboratory Technology top 10%
- Quality and Safety in Healthcare
Papers in
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- Sentiment Analysis and Opinion Mining 2
- Machine Learning in Healthcare 2
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- Software Engineering Research 2
- Co-authors
- Sikandar Ali (10 shared papers)Muhammad Faisal Abrar (1 shared paper)Muhammad Usman (1 shared paper)Najeeb Ullah (1 shared paper)Mujtaba Husnain (6 shared papers)Mukhtaj Khan (4 shared papers)Muhammad Aamir (2 shared papers)Fazli Wahid (1 shared paper)
- Journals
- IEEE Access (3 papers)Complexity (1 paper)Mobile Information Systems (4 papers)Mathematical Problems in Engineering (4 papers)Scientific Programming (2 papers)
- Partner nations
- PakistanSaudi ArabiaMalaysia
In The Last Decade
Ali Samad
16 papers receiving 253 citations
Peers
Comparison fields: 5 of 70
- Health Information Management 103
- Medical Laboratory Technology 13
- Artificial Intelligence 96
- Software 11
- Neurology 21
Countries citing papers authored by Ali Samad
This map shows the geographic impact of Ali Samad'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 Ali Samad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Samad more than expected).
Fields of papers citing papers by Ali Samad
This network shows the impact of papers produced by Ali Samad. 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 Ali Samad. The network helps show where Ali Samad may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Samad, 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 | 2022 | 85 | |
| 2 | 2022 | 40 | |
| 3 | 2022 | 35 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2022 | 11 | |
| 7 | 2009 | 11 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2021 | 0 | |
| 19 | 2020 | 0 |
About Ali Samad
Ali Samad is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 263 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Brain Tumor Detection and Classification (2 papers), Machine Learning in Healthcare (2 papers), Software Engineering Research (2 papers), Advanced Neural Network Applications (2 papers), IoT and Edge/Fog Computing (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Information Management (103 citations), Medical Laboratory Technology (13 citations), Artificial Intelligence (96 citations), Software (11 citations) and Neurology (21 citations). Ali Samad has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Sikandar Ali, Muhammad Faisal Abrar, Muhammad Usman, Najeeb Ullah, Mujtaba Husnain, Mukhtaj Khan, Muhammad Aamir, Fazli Wahid, Norhalina Senan and Malik Muhammad Saad Missen. Their work appears in journals such as IEEE Access, Complexity, Mobile Information Systems, Mathematical Problems in Engineering and Scientific Programming.
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.