Sidra Abbas

1.2k total citations
29 papers, 714 citations indexed

About

Sidra Abbas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Sidra Abbas has authored 29 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in Sidra Abbas's work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (7 papers) and AI in cancer detection (3 papers). Sidra Abbas is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (7 papers) and AI in cancer detection (3 papers). Sidra Abbas collaborates with scholars based in Pakistan, Saudi Arabia and Slovakia. Sidra Abbas's co-authors include Abdul Rehman Javed, Muhammad Rizwan, Ahmad Almadhor, Gautam Srivastava, Shtwai Alsubai, Michal Greguš, Labiba Gillani Fahad, Mohammad S. Khan, Mohemmed Sha and Reza M. Parizi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Sidra Abbas

27 papers receiving 683 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sidra Abbas Pakistan 14 303 233 99 96 84 29 714
Sunday Adeola Ajagbe Nigeria 14 199 0.7× 163 0.7× 116 1.2× 88 0.9× 61 0.7× 78 633
Jaehak Yu South Korea 13 180 0.6× 227 1.0× 70 0.7× 61 0.6× 40 0.5× 37 617
Badiea Abdulkarem Mohammed Saudi Arabia 19 364 1.2× 308 1.3× 197 2.0× 217 2.3× 297 3.5× 56 1.0k
Firdaus Firdaus Indonesia 18 199 0.7× 78 0.3× 69 0.7× 64 0.7× 40 0.5× 123 1.0k
Khaled Mohamad Almustafa Saudi Arabia 14 198 0.7× 184 0.8× 78 0.8× 77 0.8× 92 1.1× 56 660
Hend Khalid Alkahtani Saudi Arabia 14 169 0.6× 98 0.4× 54 0.5× 90 0.9× 92 1.1× 58 580
Syed Thouheed Ahmed India 13 194 0.6× 95 0.4× 115 1.2× 85 0.9× 44 0.5× 59 539
Soo-Yeon Ji United States 11 232 0.8× 177 0.8× 83 0.8× 38 0.4× 30 0.4× 56 507
M. Jamal Deen Canada 7 204 0.7× 142 0.6× 153 1.5× 104 1.1× 74 0.9× 8 617
Satria Mandala Indonesia 17 190 0.6× 292 1.3× 83 0.8× 80 0.8× 199 2.4× 95 802

Countries citing papers authored by Sidra Abbas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sidra Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Sidra Abbas. A scholar is included among the top collaborators of Sidra Abbas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sidra Abbas. Sidra Abbas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Almadhor, Ahmad, Shtwai Alsubai, Natalia Kryvinska, et al.. (2025). Evaluating large transformer models for anomaly detection of resource-constrained IoT devices for intrusion detection system. Scientific Reports. 15(1). 37972–37972.
2.
Kim, Tae Hoon, et al.. (2024). Exploiting smartphone defence: a novel adversarial malware dataset and approach for adversarial malware detection. Peer-to-Peer Networking and Applications. 17(5). 3369–3384. 1 indexed citations
3.
Abbas, Sidra, Stephen Ojo, Abdullah Al Hejaili, et al.. (2024). Artificial intelligence framework for heart disease classification from audio signals. Scientific Reports. 14(1). 3123–3123. 22 indexed citations
4.
Abbas, Sidra, et al.. (2023). Harris-Hawk-Optimization-Based Deep Recurrent Neural Network for Securing the Internet of Medical Things. Electronics. 12(12). 2612–2612. 14 indexed citations
5.
Alsubai, Shtwai, Abdullah Alqahtani, Mohemmed Sha, et al.. (2023). Privacy Preserved Cervical Cancer Detection Using Convolutional Neural Networks Applied to Pap Smear Images. Computational and Mathematical Methods in Medicine. 2023(1). 9676206–9676206. 29 indexed citations
6.
Gao, Jing, Peng Li, Asif Ali Laghari, et al.. (2023). Incomplete Multiview Clustering via Semidiscrete Optimal Transport for Multimedia Data Mining in IoT. ACM Transactions on Multimedia Computing Communications and Applications. 20(6). 1–20. 16 indexed citations
7.
Anwar, Zahid, et al.. (2023). Smartphone Security and Privacy: A Survey on APTs, Sensor-Based Attacks, Side-Channel Attacks, Google Play Attacks, and Defenses. SHILAP Revista de lepidopterología. 11(3). 76–76. 14 indexed citations
8.
Duhayyim, Mesfer Al, et al.. (2023). An Ensemble Machine Learning Technique for Stroke Prognosis. Computer Systems Science and Engineering. 47(1). 413–429. 7 indexed citations
9.
Almadhor, Ahmad, Gabriel Avelino Sampedro, Mideth Abisado, et al.. (2023). Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning. Sensors. 23(8). 3984–3984. 17 indexed citations
10.
Alsubai, Shtwai, et al.. (2023). Automated Cognitive Health Assessment Based on Daily Life Functional Activities. Computational Intelligence and Neuroscience. 2023(1). 5684914–5684914. 4 indexed citations
11.
Almadhor, Ahmad, Gabriel Avelino Sampedro, Mideth Abisado, & Sidra Abbas. (2023). Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity. Sensors. 23(15). 6664–6664. 8 indexed citations
12.
Duhayyim, Mesfer Al, et al.. (2023). Ensemble Learning for Fetal Health Classification. Computer Systems Science and Engineering. 47(1). 823–842. 12 indexed citations
13.
Abbas, Sidra, et al.. (2023). An Efficient Stacked Ensemble Model for Heart Disease Detection and Classification. Computers, materials & continua/Computers, materials & continua (Print). 77(1). 665–680. 7 indexed citations
14.
Alsubai, Shtwai, et al.. (2022). Smart Home-Based Complex Interwoven Activities for Cognitive Health Assessment. Journal of Sensors. 2022. 1–10. 7 indexed citations
15.
Alsubai, Shtwai, et al.. (2022). Ensemble deep learning for brain tumor detection. Frontiers in Computational Neuroscience. 16. 1005617–1005617. 59 indexed citations
16.
Alqahtani, Abdullah, Habib Ullah Khan, Shtwai Alsubai, et al.. (2022). An efficient approach for textual data classification using deep learning. Frontiers in Computational Neuroscience. 16. 992296–992296. 13 indexed citations
17.
Javed, Abdul Rehman, et al.. (2021). DARE-SEP: A Hybrid Approach of Distance Aware Residual Energy-Efficient SEP for WSN. IEEE Transactions on Green Communications and Networking. 5(2). 611–621. 78 indexed citations
18.
Abbas, Salma, et al.. (2021). Frequency of low back pain in young adults and its relationship with different mattresses. SHILAP Revista de lepidopterología. 71(9). 2177–2180. 1 indexed citations
19.
Liu, Dongsheng, et al.. (2021). Trustworthy Intrusion Detection in E-Healthcare Systems. Frontiers in Public Health. 9. 788347–788347. 15 indexed citations
20.
Rizwan, Muhammad, et al.. (2021). Machine Learning Assisted Cervical Cancer Detection. Frontiers in Public Health. 9. 788376–788376. 78 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sunday Adeola Ajagbe Breakdown of academic impact, for papers by Jaehak Yu Breakdown of academic impact, for papers by Badiea Abdulkarem Mohammed Breakdown of academic impact, for papers by Firdaus Firdaus Breakdown of academic impact, for papers by Khaled Mohamad Almustafa Breakdown of academic impact, for papers by Hend Khalid Alkahtani Breakdown of academic impact, for papers by Syed Thouheed Ahmed Breakdown of academic impact, for papers by Soo-Yeon Ji Breakdown of academic impact, for papers by M. Jamal Deen Breakdown of academic impact, for papers by Satria Mandala
Rankless by CCL
2026