Mansoor Nasir
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- Video Surveillance and Tracking Methods 3
- Human-Computer Interaction top 10%
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- Emotion and Mood Recognition 2
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- IoT and Edge/Fog Computing 2
- Network Security and Intrusion Detection 2
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- Human-Automation Interaction and Safety 2
- Emotions and Moral Behavior 1
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- Anomaly Detection Techniques and Applications 2
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- Face Recognition and Perception 1
- Co-authors
- Muhammad SajjadKhan MuhammadArun Kumar SangaiahSung Wook BaikMohamed ElhosenySiraj M. KhanZahoor JanFath U Min Ullah
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionExperimental and Cognitive Psychology
- Journals
- Information Sciences (1 paper)Journal of Parallel and Distributed Computing (1 paper)Sensors (1 paper)
- Partner nations
- PakistanSouth KoreaUnited States
In The Last Decade
Mansoor Nasir
9 papers receiving 374 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 183
- Human-Computer Interaction 31
- Experimental and Cognitive Psychology 55
- Computer Networks and Communications 93
- Signal Processing 33
Countries citing papers authored by Mansoor Nasir
This map shows the geographic impact of Mansoor Nasir'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 Mansoor Nasir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mansoor Nasir more than expected).
Fields of papers citing papers by Mansoor Nasir
This network shows the impact of papers produced by Mansoor Nasir. 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 Mansoor Nasir. The network helps show where Mansoor Nasir may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mansoor Nasir, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 56 | |
| 6 | 2021 | 45 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 9 | |
| 9 | 2018 | 81 | |
| 10 | 2018 | 42 | |
| 11 | 2017 | 141 |
About Mansoor Nasir
Mansoor Nasir is a scholar working on Sensory Systems, Computer Vision and Pattern Recognition and Radiological and Ultrasound Technology, having authored 11 papers that have together received 385 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (3 papers), IoT and Edge/Fog Computing (2 papers), Emotion and Mood Recognition (2 papers), Human-Automation Interaction and Safety (2 papers), Anomaly Detection Techniques and Applications (2 papers), Network Security and Intrusion Detection (2 papers), Emotions and Moral Behavior (1 paper) and Face Recognition and Perception (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (183 citations), Human-Computer Interaction (31 citations) and Experimental and Cognitive Psychology (55 citations). Mansoor Nasir has collaborated with scholars based in Pakistan, South Korea and United States. Frequent co-authors include Muhammad Sajjad, Khan Muhammad, Arun Kumar Sangaiah, Sung Wook Baik, Mohamed Elhoseny, Siraj M. Khan, Zahoor Jan, Fath U Min Ullah, Jaime Lloret and Jamil Ahmad. Their work appears in journals such as Information Sciences, Journal of Parallel and Distributed Computing, Sensors, IEEE Access 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.