Naif Al Mudawi
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- Video Surveillance and Tracking Methods 17
- Human Pose and Action Recognition 16
- Context-Aware Activity Recognition Systems 16
- Advanced Neural Network Applications 11
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 5
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 6
- Geology top 10%
- Health Information Management top 10%
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- Gait Recognition and Analysis 9
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- IoT and Edge/Fog Computing 6
- Co-authors
- Abdulwahab AlazebAhmad JalalAsaad AlgarniMohammed AlonaziSaud S. AlotaibiNouf Abdullah AlmujallyAbdullah AlshahraniHui Liu
- Partner nations
- Saudi ArabiaPakistanSouth Korea
In The Last Decade
Naif Al Mudawi
50 papers receiving 982 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 557
- Human-Computer Interaction 67
- Artificial Intelligence 193
- Geology 33
- Health Information Management 20
Countries citing papers authored by Naif Al Mudawi
This map shows the geographic impact of Naif Al Mudawi'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 Naif Al Mudawi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naif Al Mudawi more than expected).
Fields of papers citing papers by Naif Al Mudawi
This network shows the impact of papers produced by Naif Al Mudawi. 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 Naif Al Mudawi. The network helps show where Naif Al Mudawi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naif Al Mudawi, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 32 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 24 | |
| 8 | 2024 | 26 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 11 | |
| 11 | 2024 | 37 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 48 | |
| 14 | 2023 | 33 | |
| 15 | 2023 | 29 | |
| 16 | 2023 | 50 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 15 | |
| 19 | 2023 | 20 | |
| 20 | 2023 | 8 |
About Naif Al Mudawi
Naif Al Mudawi is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (17 papers), Human Pose and Action Recognition (16 papers), Context-Aware Activity Recognition Systems (16 papers), Advanced Neural Network Applications (11 papers), Gait Recognition and Analysis (9 papers), IoT and Edge/Fog Computing (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Hand Gesture Recognition Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (557 citations), Human-Computer Interaction (67 citations) and Artificial Intelligence (193 citations). Naif Al Mudawi has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Abdulwahab Alazeb, Ahmad Jalal, Asaad Algarni, Mohammed Alonazi, Saud S. Alotaibi, Nouf Abdullah Almujally, Abdullah Alshahrani, Hui Liu, Bayan Alabdullah and Danyal Z. Khan. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.
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.