Qaiser Riaz
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Human Pose and Action Recognition 5
- Context-Aware Activity Recognition Systems 4
- Video Surveillance and Tracking Methods 3
- Advanced Steganography and Watermarking Techniques 2
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- Gait Recognition and Analysis 6
- Co-authors
- Muhammad Zeeshan (8 shared papers)Mehdi Hussain (12 shared papers)Hasan Tahir (6 shared papers)Andreas Weber⋆ (4 shared papers)Muhammad Shahzad (5 shared papers)Björn Krüger (6 shared papers)Muhammad K. Shahzad (1 shared paper)Azizur Rahim (1 shared paper)
- Journals
- IEEE Sensors Journal (3 papers)Sensors (3 papers)IEEE Access (3 papers)Applied Sciences (2 papers)Multimedia Tools and Applications (2 papers)
- Partner nations
- PakistanGermanySouth Korea
In The Last Decade
Qaiser Riaz
19 papers receiving 479 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 168
- Computer Networks and Communications 245
- Computer Vision and Pattern Recognition 157
- Artificial Intelligence 188
- Physical Therapy, Sports Therapy and Rehabilitation 21
Countries citing papers authored by Qaiser Riaz
This map shows the geographic impact of Qaiser Riaz'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 Qaiser Riaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qaiser Riaz more than expected).
Fields of papers citing papers by Qaiser Riaz
This network shows the impact of papers produced by Qaiser Riaz. 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 Qaiser Riaz. The network helps show where Qaiser Riaz may publish in the future.
Co-authors
The 20 scholars most cited alongside Qaiser Riaz, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 121 | |
| 2 | 2021 | 85 | |
| 3 | 2015 | 47 | |
| 4 | 2015 | 34 | |
| 5 | 2021 | 30 | |
| 6 | 2020 | 29 | |
| 7 | 2022 | 26 | |
| 8 | 2019 | 24 | |
| 9 | 2019 | 20 | |
| 10 | 2023 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2022 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2024 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2024 | 0 |
About Qaiser Riaz
Qaiser Riaz is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 22 papers that have together received 498 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (6 papers), Advanced Malware Detection Techniques (5 papers), Human Pose and Action Recognition (5 papers), Context-Aware Activity Recognition Systems (4 papers), Network Security and Intrusion Detection (4 papers), Video Surveillance and Tracking Methods (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Signal Processing (168 citations), Computer Networks and Communications (245 citations), Computer Vision and Pattern Recognition (157 citations), Artificial Intelligence (188 citations) and Physical Therapy, Sports Therapy and Rehabilitation (21 citations). Qaiser Riaz has collaborated with scholars based in Pakistan, Germany and South Korea. Frequent co-authors include Muhammad Zeeshan, Mehdi Hussain, Hasan Tahir, Andreas Weber⋆, Muhammad Shahzad, Björn Krüger, Muhammad K. Shahzad, Azizur Rahim, Hajira Jabeen and Muhammad Ahmad. Their work appears in journals such as IEEE Sensors Journal, Sensors, IEEE Access, Applied Sciences and Multimedia Tools and Applications.
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.