Rahman Ali
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Context-Aware Activity Recognition Systems
- Human-Computer Interaction top 5%
Papers in
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- Topic Modeling 11
- Natural Language Processing Techniques 10
- Machine Learning and Data Classification 6
- Data Stream Mining Techniques 5
- Speech and dialogue systems 4
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- Data Mining Algorithms and Applications 8
- Co-authors
- Sungyoung Lee (19 shared papers)Muhammad Hameed Siddiqi (7 shared papers)Adil Khan (4 shared papers)Young-Tack Park (1 shared paper)Muhammad Afzal (7 shared papers)Asad Masood Khattak (2 shared papers)Maqbool Hussain (8 shared papers)Jamil Hussain (7 shared papers)
- Journals
- Sensors (5 papers)Expert Systems with Applications (3 papers)Applied Sciences (2 papers)IEEE Access (2 papers)Food Science & Nutrition (1 paper)
- Partner nations
- PakistanSouth KoreaUnited Arab Emirates
In The Last Decade
Rahman Ali
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 317
- Human-Computer Interaction 81
- Health Information Management 63
- Artificial Intelligence 410
- Experimental and Cognitive Psychology 155
Countries citing papers authored by Rahman Ali
This map shows the geographic impact of Rahman 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 Rahman Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahman Ali more than expected).
Fields of papers citing papers by Rahman Ali
This network shows the impact of papers produced by Rahman 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 Rahman Ali. The network helps show where Rahman Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Rahman 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 141 | |
| 2 | 2019 | 96 | |
| 3 | 2018 | 96 | |
| 4 | 2016 | 83 | |
| 5 | 2020 | 69 | |
| 6 | 2014 | 49 | |
| 7 | 2014 | 45 | |
| 8 | 2023 | 36 | |
| 9 | 2014 | 35 | |
| 10 | 2014 | 34 | |
| 11 | 2015 | 31 | |
| 12 | 2015 | 30 | |
| 13 | 2015 | 28 | |
| 14 | 2019 | 28 | |
| 15 | 2017 | 25 | |
| 16 | 2022 | 23 | |
| 17 | 2018 | 23 | |
| 18 | 2018 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2015 | 20 |
About Rahman Ali
Rahman Ali is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and General Health Professions, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Data Mining Algorithms and Applications (8 papers), Face and Expression Recognition (6 papers), Machine Learning and Data Classification (6 papers), Data Stream Mining Techniques (5 papers), Mobile Health and mHealth Applications (4 papers) and Speech and dialogue systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (317 citations), Human-Computer Interaction (81 citations), Health Information Management (63 citations), Artificial Intelligence (410 citations) and Experimental and Cognitive Psychology (155 citations). Rahman Ali has collaborated with scholars based in Pakistan, South Korea and United Arab Emirates. Frequent co-authors include Sungyoung Lee, Muhammad Hameed Siddiqi, Adil Khan, Young-Tack Park, Muhammad Afzal, Asad Masood Khattak, Maqbool Hussain, Jamil Hussain, Byeong Ho Kang and Xianchao Zhang. Their work appears in journals such as Sensors, Expert Systems with Applications, Applied Sciences, IEEE Access and Food Science & Nutrition.
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.