Maryam Bashir

658 total citations · 1 hit paper
23 papers, 424 citations indexed

About

Maryam Bashir is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Maryam Bashir has authored 23 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Maryam Bashir's work include Sentiment Analysis and Opinion Mining (4 papers), Spam and Phishing Detection (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Maryam Bashir is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Spam and Phishing Detection (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Maryam Bashir collaborates with scholars based in Pakistan, United States and Sweden. Maryam Bashir's co-authors include Nabil Alrajeh, Bilal Shams, Irfan Younas, Мuhammad Abid, Asad Habib, Sana Ullah Khan, Muhammad Adnan, Shafaq Mussadiq, Khurram Shahzad and Johan Schubert and has published in prestigious journals such as PLoS ONE, IEEE Access and Neurocomputing.

In The Last Decade

Maryam Bashir

19 papers receiving 403 citations

Hit Papers

Predicting at-Risk Students at Different Percentages of C... 2021 2026 2022 2024 2021 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models
    2021 125 citations Muhammad Adnan, Asad Habib et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maryam Bashir Pakistan 9 147 134 133 112 102 23 424
Sawsan AbdulRahman Lebanon 4 155 1.1× 619 4.6× 218 1.6× 112 1.0× 10 0.1× 7 761
Jiahao Ding China 10 60 0.4× 269 2.0× 72 0.5× 68 0.6× 10 0.1× 31 375
Xinyu Jin China 10 106 0.7× 59 0.4× 191 1.4× 45 0.4× 10 0.1× 53 395
Muzammil Khan Pakistan 12 33 0.2× 160 1.2× 68 0.5× 18 0.2× 28 0.3× 51 430
Jaegeol Yim South Korea 7 248 1.7× 61 0.5× 126 0.9× 11 0.1× 90 0.9× 65 384
Fayez Alfayez Saudi Arabia 9 137 0.9× 74 0.6× 235 1.8× 16 0.1× 8 0.1× 19 415
Liantao Wu China 12 134 0.9× 165 1.2× 177 1.3× 130 1.2× 28 0.3× 41 444
Lichuan Ma China 7 73 0.5× 246 1.8× 140 1.1× 82 0.7× 4 0.0× 15 407

Countries citing papers authored by Maryam Bashir

Since Specialization
Citations

This map shows the geographic impact of Maryam Bashir'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 Maryam Bashir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Bashir more than expected).

Fields of papers citing papers by Maryam Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maryam Bashir. 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 Maryam Bashir. The network helps show where Maryam Bashir may publish in the future.

Co-authorship network of co-authors of Maryam Bashir

This figure shows the co-authorship network connecting the top 25 collaborators of Maryam Bashir. A scholar is included among the top collaborators of Maryam Bashir 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 Maryam Bashir. Maryam Bashir 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.
Bashir, Maryam, et al.. (2025). Optimizing cancer classification: A metaheuristic-driven review of feature selection and deep learning approaches. Journal of X-Ray Science and Technology. 34(1). 103–148.
2.
3.
Bashir, Maryam, et al.. (2024). Feature selection for sentiment analysis using hybrid multiobjective evolutionary algorithm. Journal of Intelligent & Fuzzy Systems. 46(4). 8917–8932. 1 indexed citations
4.
Bashir, Maryam, et al.. (2024). Detecting fake news for COVID-19 using deep learning: a review. Multimedia Tools and Applications. 83(30). 74469–74502. 9 indexed citations
5.
Wali, Aamir, et al.. (2024). Next word prediction for Urdu language using deep learning models. Computer Speech & Language. 87. 101635–101635. 6 indexed citations
6.
Rehman, Saif Ur, et al.. (2024). A metaheuristic based filter-wrapper approach to feature selection for fake news detection. Multimedia Tools and Applications. 83(34). 80299–80328. 1 indexed citations
7.
Ahmad, Haseeb, Maryam Bashir, & Aamir Wali. (2023). BERTDom: Protein Domain Boundary Prediction Using BERT. Computing and Informatics. 42(3). 667–689. 1 indexed citations
8.
Shahzad, Khurram, et al.. (2023). ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu. Information Processing & Management. 60(3). 103270–103270. 19 indexed citations
9.
Younas, Irfan, et al.. (2022). Assessing effectiveness of many-objective evolutionary algorithms for selection of tag SNPs. PLoS ONE. 17(12). e0278560–e0278560. 2 indexed citations
10.
Bashir, Maryam, et al.. (2022). Metaheuristics based COVID-19 detection using medical images: A review. Computers in Biology and Medicine. 144. 105344–105344. 24 indexed citations
11.
Adnan, Muhammad, Asad Habib, Shafaq Mussadiq, et al.. (2021). Predicting at-Risk Students at Different Percentages of Course Length for Early Intervention Using Machine Learning Models. IEEE Access. 9. 7519–7539. 125 indexed citations breakdown →
12.
Younas, Irfan, et al.. (2021). Evolving convolutional autoencoders using multi-objective Particle Swarm Optimization. Computers & Electrical Engineering. 91. 107108–107108. 11 indexed citations
13.
Bashir, Maryam. (2021). Surveillance and Panopticism in the Digital Age. 2(1). 11–16. 1 indexed citations
14.
Bashir, Maryam, et al.. (2020). A Many-Objective Memetic Generalized Differential Evolution Algorithm for DNA Sequence Design. IEEE Access. 8. 222684–222699. 8 indexed citations
15.
Bashir, Maryam. (2020). Data Security Challenges in Healthcare System. 1(2). 34–40. 1 indexed citations
16.
Bashir, Maryam, et al.. (2020). An intelligent linear time trajectory data compression framework for smart planning of sustainable metropolitan cities. Transactions on Emerging Telecommunications Technologies. 33(2). 3 indexed citations
17.
Iqbal, Muhammad, et al.. (2019). Learning Regular Expressions Using XCS-Based Classifier System. International Journal of Pattern Recognition and Artificial Intelligence. 34(10). 2051011–2051011. 1 indexed citations
18.
Younas, Irfan, et al.. (2018). Efficient genetic algorithms for optimal assignment of tasks to teams of agents. Neurocomputing. 314. 409–428. 21 indexed citations
19.
Bashir, Maryam, et al.. (2013). A document rating system for preference judgements. 909–912. 8 indexed citations
20.
Bashir, Maryam, et al.. (2013). An analysis of crowd workers mistakes for specific and complex relevance assessment task. 1873–1876. 5 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 Sawsan AbdulRahman Breakdown of academic impact, for papers by Jiahao Ding Breakdown of academic impact, for papers by Xinyu Jin Breakdown of academic impact, for papers by Muzammil Khan Breakdown of academic impact, for papers by Jaegeol Yim Breakdown of academic impact, for papers by Fayez Alfayez Breakdown of academic impact, for papers by Liantao Wu Breakdown of academic impact, for papers by Lichuan Ma
Rankless by CCL
2026