Alaa O. Khadidos
- Health Informatics top 10%
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- Network Security and Intrusion Detection 13
- IoT and Edge/Fog Computing 7
- Signal Processing top 10%
- Advanced Malware Detection Techniques 11
- Information Systems top 5%
- Blockchain Technology Applications and Security 6
- Spam and Phishing Detection 4
- Artificial Intelligence top 10%
- AI in cancer detection 5
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- COVID-19 diagnosis using AI 5
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- Brain Tumor Detection and Classification 5
- Co-authors
- Adil O. KhadidosShitharth SelvarajanKhaled H. AlyoubiGeorgios TsaramirsisHariprasath ManoharanMohamed BazaJerry Chun‐Wei LinGautam Srivastava
- Partner nations
- Saudi ArabiaIndiaEthiopia
In The Last Decade
Alaa O. Khadidos
73 papers receiving 663 citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Health Informatics 15
- Computer Networks and Communications 219
- Signal Processing 91
- Information Systems 163
- Artificial Intelligence 200
Countries citing papers authored by Alaa O. Khadidos
This map shows the geographic impact of Alaa O. Khadidos'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 Alaa O. Khadidos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alaa O. Khadidos more than expected).
Fields of papers citing papers by Alaa O. Khadidos
This network shows the impact of papers produced by Alaa O. Khadidos. 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 Alaa O. Khadidos. The network helps show where Alaa O. Khadidos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alaa O. Khadidos, 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 29 | |
| 20 | 2022 | 39 |
About Alaa O. Khadidos
Alaa O. Khadidos is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 81 papers that have together received 689 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Advanced Malware Detection Techniques (11 papers), IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (6 papers), COVID-19 diagnosis using AI (5 papers), Brain Tumor Detection and Classification (5 papers), AI in cancer detection (5 papers) and Spam and Phishing Detection (4 papers). The work is most often cited by research in Health Informatics (15 citations), Computer Networks and Communications (219 citations) and Signal Processing (91 citations). Alaa O. Khadidos has collaborated with scholars based in Saudi Arabia, India and Ethiopia. Frequent co-authors include Adil O. Khadidos, Shitharth Selvarajan, Khaled H. Alyoubi, Georgios Tsaramirsis, Hariprasath Manoharan, Mohamed Baza, Jerry Chun‐Wei Lin, Gautam Srivastava, Ali Alshehri and Muhammad Ahtisham Aslam. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.