Khalil Ullah
Impact in
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- EEG and Brain-Computer Interfaces
Papers in
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- Handwritten Text Recognition Techniques 7
- Human Pose and Action Recognition 4
- Face and Expression Recognition 3
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- Muscle activation and electromyography studies 9
- Co-authors
- Muhammad Asad Ullah (1 shared paper)Roberto Merletti (4 shared papers)Babak Afsharipour (3 shared papers)Jung‐Hoon Kim (1 shared paper)Corrado Cescon (2 shared papers)Muhammad Asif (2 shared papers)Mahdi Zareei (1 shared paper)Rajesh Roshan Biswal (1 shared paper)
- Journals
- IEEE Access (10 papers)PeerJ Computer Science (4 papers)Sensors (3 papers)Applied Sciences (2 papers)Journal of Ambient Intelligence and Humanized Computing (2 papers)
- Partner nations
- PakistanSaudi ArabiaSouth Korea
In The Last Decade
Khalil Ullah
45 papers receiving 382 citations
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 72
- Human-Computer Interaction 20
- Computer Vision and Pattern Recognition 64
- Health Information Management 13
- Rehabilitation 16
Countries citing papers authored by Khalil Ullah
This map shows the geographic impact of Khalil Ullah'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 Khalil Ullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalil Ullah more than expected).
Fields of papers citing papers by Khalil Ullah
This network shows the impact of papers produced by Khalil Ullah. 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 Khalil Ullah. The network helps show where Khalil Ullah may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalil Ullah, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 89 | |
| 2 | 2022 | 30 | |
| 3 | 2023 | 26 | |
| 4 | 2014 | 25 | |
| 5 | 2009 | 20 | |
| 6 | 2024 | 17 | |
| 7 | 2015 | 16 | |
| 8 | 2011 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2015 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2017 | 9 | |
| 15 | 2011 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2017 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2024 | 5 |
About Khalil Ullah
Khalil Ullah is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 52 papers that have together received 408 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Muscle activation and electromyography studies (9 papers), Handwritten Text Recognition Techniques (7 papers), Neuroscience and Neural Engineering (5 papers), Vehicle License Plate Recognition (4 papers), Human Pose and Action Recognition (4 papers), ECG Monitoring and Analysis (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Cognitive Neuroscience (72 citations), Human-Computer Interaction (20 citations), Computer Vision and Pattern Recognition (64 citations), Health Information Management (13 citations) and Rehabilitation (16 citations). Khalil Ullah has collaborated with scholars based in Pakistan, Saudi Arabia and South Korea. Frequent co-authors include Muhammad Asad Ullah, Roberto Merletti, Babak Afsharipour, Jung‐Hoon Kim, Corrado Cescon, Muhammad Asif, Mahdi Zareei, Rajesh Roshan Biswal, Habib Shah and Muhammad Zahid Khan. Their work appears in journals such as IEEE Access, PeerJ Computer Science, Sensors, Applied Sciences and Journal of Ambient Intelligence and Humanized Computing.
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.