Sidra Abbas
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Anomaly Detection Techniques and Applications 3
- Internet Traffic Analysis and Secure E-voting 3
- Sentiment Analysis and Opinion Mining 2
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- Network Security and Intrusion Detection 6
- Co-authors
- Gabriel Avelino Sampedro (20 shared papers)Ahmad Almadhor (19 shared papers)Abdullah Al Hejaili (15 shared papers)Stephen Ojo (10 shared papers)Mideth Abisado (6 shared papers)Maha Driss (3 shared papers)Wadii Boulila (3 shared papers)Shtwai Alsubai (12 shared papers)
- Journals
- IEEE Access (13 papers)IEEE Transactions on Consumer Electronics (4 papers)Scientific Reports (2 papers)PeerJ Computer Science (2 papers)Complex & Intelligent Systems (1 paper)
- Partner nations
- PakistanSaudi ArabiaPhilippines
In The Last Decade
Sidra Abbas
30 papers receiving 201 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 55
- Computer Networks and Communications 89
- Artificial Intelligence 69
- General Social Sciences 4
- Computer Vision and Pattern Recognition 24
Countries citing papers authored by Sidra Abbas
This map shows the geographic impact of Sidra Abbas'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 Sidra Abbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sidra Abbas more than expected).
Fields of papers citing papers by Sidra Abbas
This network shows the impact of papers produced by Sidra Abbas. 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 Sidra Abbas. The network helps show where Sidra Abbas may publish in the future.
Co-authors
The 25 scholars most cited alongside Sidra Abbas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 34 | |
| 2 | 2023 | 31 | |
| 3 | 2023 | 23 | |
| 4 | 2023 | 15 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 9 | |
| 7 | 2024 | 9 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2019 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 4 | |
| 15 | Aerobiology and pollen allergy in Islamabad | 2009 | 4 |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 2 |
About Sidra Abbas
Sidra Abbas is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 207 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (3 papers), ECG Monitoring and Analysis (3 papers), Spam and Phishing Detection (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Coccidia and coccidiosis research (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Signal Processing (55 citations), Computer Networks and Communications (89 citations), Artificial Intelligence (69 citations), General Social Sciences (4 citations) and Computer Vision and Pattern Recognition (24 citations). Sidra Abbas has collaborated with scholars based in Pakistan, Saudi Arabia and Philippines. Frequent co-authors include Gabriel Avelino Sampedro, Ahmad Almadhor, Abdullah Al Hejaili, Stephen Ojo, Mideth Abisado, Maha Driss, Wadii Boulila, Shtwai Alsubai, Michal Greguš and Tariq Shahzad. Their work appears in journals such as IEEE Access, IEEE Transactions on Consumer Electronics, Scientific Reports, PeerJ Computer Science and Complex & Intelligent Systems.
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.