Saud S. Alotaibi
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- Video Surveillance and Tracking Methods 13
- Human Pose and Action Recognition 10
- Context-Aware Activity Recognition Systems 7
- Human-Computer Interaction top 5%
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 14
- Advanced Text Analysis Techniques 6
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- Network Security and Intrusion Detection 15
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- Advanced Malware Detection Techniques 12
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- COVID-19 diagnosis using AI 7
- Co-authors
- Ahmad JalalNaif Al MudawiAbdulwahab AlazebJeongmin ParkMohammed AlonaziAbdullah AlshahraniMesfer Al DuhayyimNouf Abdullah Almujally
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (2 papers)IEEE Access (19 papers)
- Partner nations
- Saudi ArabiaEgyptPakistan
In The Last Decade
Saud S. Alotaibi
103 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 448
- Human-Computer Interaction 64
- Artificial Intelligence 353
- Computer Networks and Communications 186
- Health Informatics 11
Countries citing papers authored by Saud S. Alotaibi
This map shows the geographic impact of Saud S. Alotaibi'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 Saud S. Alotaibi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saud S. Alotaibi more than expected).
Fields of papers citing papers by Saud S. Alotaibi
This network shows the impact of papers produced by Saud S. Alotaibi. 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 Saud S. Alotaibi. The network helps show where Saud S. Alotaibi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saud S. Alotaibi, 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 | 12 | |
| 2 | 2023 | 37 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 48 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 33 | |
| 14 | 2022 | 18 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 28 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 10 | |
| 20 | 2018 | 20 |
About Saud S. Alotaibi
Saud S. Alotaibi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 111 papers that have together received 1.2k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (15 papers), Anomaly Detection Techniques and Applications (14 papers), Video Surveillance and Tracking Methods (13 papers), Advanced Malware Detection Techniques (12 papers), Human Pose and Action Recognition (10 papers), COVID-19 diagnosis using AI (7 papers), Context-Aware Activity Recognition Systems (7 papers) and Advanced Text Analysis Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (448 citations), Human-Computer Interaction (64 citations) and Artificial Intelligence (353 citations). Saud S. Alotaibi has collaborated with scholars based in Saudi Arabia, Egypt and Pakistan. Frequent co-authors include Ahmad Jalal, Naif Al Mudawi, Abdulwahab Alazeb, Jeongmin Park, Mohammed Alonazi, Abdullah Alshahrani, Mesfer Al Duhayyim, Nouf Abdullah Almujally, Muhammad Rashid and Manar Ahmed Hamza. Their work appears in journals such as SHILAP Revista de lepidopterología, 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.