Touseef Sadiq
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Context-Aware Activity Recognition Systems
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- Brain Tumor Detection and Classification
Papers in
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- Video Surveillance and Tracking Methods 6
- Advanced Neural Network Applications 5
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- AI in cancer detection 2
- Internet Traffic Analysis and Secure E-voting 2
- Co-authors
- Hameedur Rahman (15 shared papers)Asaad Algarni (7 shared papers)Naif Al Mudawi (6 shared papers)Nouf Abdullah Almujally (3 shared papers)Abdulwahab Alazeb (4 shared papers)Inam Ullah Khan (2 shared papers)Ahmad Jalal (4 shared papers)Bayan Alabdullah (3 shared papers)
- Journals
- IEEE Access (10 papers)Frontiers in Neurorobotics (3 papers)PLoS ONE (3 papers)Sensors (2 papers)Results in Engineering (1 paper)
- Partner nations
- NorwayPakistanSaudi Arabia
In The Last Decade
Touseef Sadiq
25 papers receiving 162 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 78
- Neurology 16
- Media Technology 13
- Artificial Intelligence 45
- Architecture 2
Countries citing papers authored by Touseef Sadiq
This map shows the geographic impact of Touseef Sadiq'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 Touseef Sadiq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Touseef Sadiq more than expected).
Fields of papers citing papers by Touseef Sadiq
This network shows the impact of papers produced by Touseef Sadiq. 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 Touseef Sadiq. The network helps show where Touseef Sadiq may publish in the future.
Co-authors
The 25 scholars most cited alongside Touseef Sadiq, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2023 | 14 | |
| 3 | 2025 | 13 | |
| 4 | 2023 | 13 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2024 | 8 | |
| 11 | 2025 | 8 | |
| 12 | 2025 | 7 | |
| 13 | 2025 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Touseef Sadiq
Touseef Sadiq is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 170 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Advanced Neural Network Applications (5 papers), COVID-19 diagnosis using AI (3 papers), Robotics and Sensor-Based Localization (2 papers), IoT-based Smart Home Systems (2 papers), Gait Recognition and Analysis (2 papers), AI in cancer detection (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (78 citations), Neurology (16 citations), Media Technology (13 citations), Artificial Intelligence (45 citations) and Architecture (2 citations). Touseef Sadiq has collaborated with scholars based in Norway, Pakistan and Saudi Arabia. Frequent co-authors include Hameedur Rahman, Asaad Algarni, Naif Al Mudawi, Nouf Abdullah Almujally, Abdulwahab Alazeb, Inam Ullah Khan, Ahmad Jalal, Bayan Alabdullah, Zulfiqar Ali Memon and Aziz ul Rehman. Their work appears in journals such as IEEE Access, Frontiers in Neurorobotics, PLoS ONE, Sensors and Results in Engineering.
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.