Sidra Abbas

441 total citations
39 papers, 207 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 39 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 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 (6 papers), Advanced Malware Detection Techniques (6 papers) and Spam and Phishing Detection (3 papers). Sidra Abbas is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (6 papers) and Spam and Phishing Detection (3 papers). Sidra Abbas collaborates with scholars based in Pakistan, Saudi Arabia and Philippines. Sidra Abbas's co-authors include Gabriel Avelino Sampedro, Ahmad Almadhor, Abdullah Al Hejaili, Stephen Ojo, Mideth Abisado, Shtwai Alsubai, Maha Driss, Wadii Boulila, Michal Greguš and Chitapong Wechtaisong and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Sidra Abbas

30 papers receiving 201 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 9 89 69 55 24 22 39 207
Suneeta Satpathy India 7 36 0.4× 36 0.5× 21 0.4× 9 0.4× 17 0.8× 27 145
Paul K. Harmer United States 6 112 1.3× 107 1.6× 59 1.1× 26 1.1× 12 0.5× 10 269
Minal Moharir India 7 100 1.1× 77 1.1× 52 0.9× 16 0.7× 23 1.0× 41 215
Wamda Nagmeldin Saudi Arabia 9 124 1.4× 74 1.1× 42 0.8× 20 0.8× 57 2.6× 19 216
Maryam Shabbir Pakistan 6 99 1.1× 81 1.2× 21 0.4× 36 1.5× 84 3.8× 15 221
Qinglong Wang China 7 115 1.3× 226 3.3× 117 2.1× 43 1.8× 73 3.3× 27 313
Huseyin A. Inan United States 10 19 0.2× 91 1.3× 53 1.0× 17 0.7× 5 0.2× 22 205
Suha Mohammed Hadi Iraq 6 30 0.3× 118 1.7× 10 0.2× 34 1.4× 28 1.3× 19 313
Arthur Gatouillat France 3 154 1.7× 58 0.8× 19 0.3× 37 1.5× 96 4.4× 3 263
Chetana Prakash India 7 121 1.4× 56 0.8× 57 1.0× 28 1.2× 62 2.8× 22 241

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.
Abbas, Sidra, et al.. (2025). Battling between phytochemical and synthetic drugs for control of Ascaridia galli – a comparative analysis. World s Poultry Science Journal. 81(4). 1361–1381.
2.
Almadhor, Ahmad, Shtwai Alsubai, Natalia Kryvinska, et al.. (2025). Transfer learning with XAI for robust malware and IoT network security. Scientific Reports. 15(1). 26971–26971. 3 indexed citations
3.
Almadhor, Ahmad, et al.. (2025). Explainable and secure framework for autism prediction using multimodal eye tracking and kinematic data. Complex & Intelligent Systems. 11(3). 3 indexed citations
4.
Abbas, Sidra, et al.. (2024). Active Machine Learning for Heterogeneity Activity Recognition Through Smartwatch Sensors. IEEE Access. 12. 22595–22607. 4 indexed citations
5.
Abbas, Sidra, et al.. (2024). Securing Data From Side-Channel Attacks: A Graph Neural Network-Based Approach for Smartphone-Based Side Channel Attack Detection. IEEE Access. 12. 138904–138920. 3 indexed citations
6.
Almadhor, Ahmad, Sidra Abbas, Gabriel Avelino Sampedro, et al.. (2024). Multi-Class Adaptive Active Learning for Predicting Student Anxiety. IEEE Access. 12. 58097–58105. 2 indexed citations
7.
Srivastava, Gautam, et al.. (2024). Adaptive Framing and Virtual Channel Scheduling Algorithm Based on Advanced Orbiting System for Consumer Sustainability in Industry 5.0. IEEE Transactions on Consumer Electronics. 70(2). 4882–4893. 2 indexed citations
8.
Abbas, Sidra, et al.. (2024). A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification. IEEE Access. 12. 76003–76021. 3 indexed citations
9.
Abbas, Sidra, Gabriel Avelino Sampedro, Shtwai Alsubai, et al.. (2024). Advancing Healthcare and Elderly Activity Recognition: Active Machine and Deep Learning for Fine- Grained Heterogeneity Activity Recognition. IEEE Access. 12. 44949–44959. 9 indexed citations
10.
Abbas, Sidra, et al.. (2024). Autism spectrum disorder detection in toddlers and adults using deep learning. International Journal of Applied Mathematics and Computer Science. 34(4).
11.
Abbas, Sidra, Shtwai Alsubai, Stephen Ojo, et al.. (2024). An efficient deep recurrent neural network for detection of cyberattacks in realistic IoT environment. The Journal of Supercomputing. 80(10). 13557–13575. 11 indexed citations
12.
Abbas, Sidra, et al.. (2024). Effective Hypertension Detection Using Predictive Feature Engineering and Deep Learning. IEEE Access. 12. 89055–89068. 1 indexed citations
13.
Abbas, Sidra, Stephen Ojo, Abdullah Al Hejaili, et al.. (2024). Evaluating deep learning variants for cyber-attacks detection and multi-class classification in IoT networks. PeerJ Computer Science. 10. e1793–e1793. 34 indexed citations
14.
Ojo, Stephen, Sidra Abbas, Mehrez Marzougui, et al.. (2023). Graph Neural Network for Smartphone Recommendation System: A Sentiment Analysis Approach for Smartphone Rating. IEEE Access. 11. 140451–140463. 2 indexed citations
15.
Abbas, Sidra, et al.. (2023). Improving Smart Grids Security: An Active Learning Approach for Smart Grid-Based Energy Theft Detection. IEEE Access. 12. 1706–1717. 15 indexed citations
16.
Abbas, Sidra, Wadii Boulila, Maha Driss, et al.. (2023). Aspect Category Detection of Mobile Edge Customer Reviews: A Distributed and Trustworthy Restaurant Recommendation System. IEEE Transactions on Consumer Electronics. 70(1). 2170–2177. 9 indexed citations
17.
Parveen, Asia, et al.. (2023). Primary hyperhidrosis: From a genetics point of view. SHILAP Revista de lepidopterología. 12(12). 3028–3032.
18.
Taneja, Juhi, et al.. (2023). Rhizopus homothallicus, an emerging pathogen causing cavitary lung lesions. Access Microbiology. 5(4). 2 indexed citations
19.
Abbas, Sidra, et al.. (2017). Motivational and Satisfaction Level Among Medical Teachers in India: A Questionnaire Based Survey. International Journal of Current Research and Review.
20.
Abbas, Sidra, et al.. (2009). Aerobiology and pollen allergy in Islamabad. Journal of medical research/˜The œjournal of medical research. 48(4). 79–82. 4 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.

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