Ahoud Alhazmi
- Artificial Intelligence top 5%
- Adversarial Robustness in Machine Learning 5
- Anomaly Detection Techniques and Applications 2
- Topic Modeling 2
- Signal Processing top 10%
- Advanced Malware Detection Techniques 2
- Information Systems top 10%
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- Context-Aware Activity Recognition Systems 1
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- IoT and Edge/Fog Computing 1
- Distributed systems and fault tolerance 1
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- Nuclear Engineering Thermal-Hydraulics 1
- Partner nations
- AustraliaSaudi ArabiaChina
In The Last Decade
Ahoud Alhazmi
6 papers receiving 284 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 248
- Signal Processing 68
- Health Informatics 6
- Information Systems 48
- Computer Vision and Pattern Recognition 42
Countries citing papers authored by Ahoud Alhazmi
This map shows the geographic impact of Ahoud Alhazmi'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 Ahoud Alhazmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ahoud Alhazmi more than expected).
Fields of papers citing papers by Ahoud Alhazmi
This network shows the impact of papers produced by Ahoud Alhazmi. 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 Ahoud Alhazmi. The network helps show where Ahoud Alhazmi may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Ahoud Alhazmi, 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 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 0 | |
| 4 | 2020 | 32 | |
| 5 | Adversarial Attacks on Deep-learning Models in Natural Language Processingbreakdown → | 2020 | 240 |
| 6 | 2020 | 1 | |
| 7 | 2020 | 1 | |
| 8 | Generating Textual Adversarial Examples for Deep Learning Models: A Survey. | 2019 | 15 |
About Ahoud Alhazmi
Ahoud Alhazmi is a scholar working on Signal Processing, Computer Science Applications and Artificial Intelligence, having authored 8 papers that have together received 293 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (5 papers), Anomaly Detection Techniques and Applications (2 papers), Topic Modeling (2 papers), Advanced Malware Detection Techniques (2 papers), IoT and Edge/Fog Computing (1 paper), Distributed systems and fault tolerance (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Nuclear Engineering Thermal-Hydraulics (1 paper). The work is most often cited by research in Artificial Intelligence (248 citations), Signal Processing (68 citations) and Health Informatics (6 citations). Ahoud Alhazmi has collaborated with scholars based in Australia, Saudi Arabia and China. Frequent co-authors include Quan Z. Sheng, Wei Emma Zhang, Chenliang Li, Congbo Ma, Adnan Mahmood and Subhash Sagar.
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.