Tariq Abdullah
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Image and Video Quality Assessment
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- Blockchain Technology Applications and Security 2
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- Sentiment Analysis and Opinion Mining 2
- Topic Modeling 2
- Algorithms and Data Compression 1
- Co-authors
- Ashiq Anjum (2 shared papers)Nick Antonopoulos (1 shared paper)Raja Waseem Anwar (2 shared papers)Iftikhar Ahmad (1 shared paper)Abdulwahab Ali Almazroi (1 shared paper)Νίκος Αντωνόπουλος (1 shared paper)Mohammed A. Alqarni (1 shared paper)Anazida Zainal (1 shared paper)
- Journals
- Applied Sciences (1 paper)Neurosurgical Review (1 paper)IEEE Transactions on Cloud Computing (1 paper)Education and Information Technologies (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- United KingdomPakistanUnited States
In The Last Decade
Tariq Abdullah
17 papers receiving 248 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 93
- Computer Networks and Communications 80
- Information Systems 60
- Artificial Intelligence 85
- Human-Computer Interaction 10
Countries citing papers authored by Tariq Abdullah
This map shows the geographic impact of Tariq Abdullah'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 Tariq Abdullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tariq Abdullah more than expected).
Fields of papers citing papers by Tariq Abdullah
This network shows the impact of papers produced by Tariq Abdullah. 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 Tariq Abdullah. The network helps show where Tariq Abdullah may publish in the future.
Co-authors
The 18 scholars most cited alongside Tariq Abdullah, 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 | 2016 | 81 | |
| 2 | 2022 | 44 | |
| 3 | 2014 | 27 | |
| 4 | 2024 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2021 | 19 | |
| 7 | 2022 | 12 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2022 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2023 | 0 |
About Tariq Abdullah
Tariq Abdullah is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Surgery, having authored 19 papers that have together received 259 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (2 papers), Blockchain Technology Applications and Security (2 papers), IoT and Edge/Fog Computing (2 papers), Image and Video Quality Assessment (2 papers), Video Surveillance and Tracking Methods (2 papers), Topic Modeling (2 papers), Algorithms and Data Compression (1 paper) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (93 citations), Computer Networks and Communications (80 citations), Information Systems (60 citations), Artificial Intelligence (85 citations) and Human-Computer Interaction (10 citations). Tariq Abdullah has collaborated with scholars based in United Kingdom, Pakistan and United States. Frequent co-authors include Ashiq Anjum, Nick Antonopoulos, Raja Waseem Anwar, Iftikhar Ahmad, Abdulwahab Ali Almazroi, Νίκος Αντωνόπουλος, Mohammed A. Alqarni, Anazida Zainal, Shi‐Chun Bao and Raymond Kai‐Yu Tong. Their work appears in journals such as Applied Sciences, Neurosurgical Review, IEEE Transactions on Cloud Computing, Education and Information Technologies and ACM Computing Surveys.
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.