Saba Bashir

2.2k total citations
43 papers, 1.5k citations indexed

About

Saba Bashir is a scholar working on Artificial Intelligence, Health Information Management and Information Systems. According to data from OpenAlex, Saba Bashir has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 14 papers in Health Information Management and 12 papers in Information Systems. Recurrent topics in Saba Bashir's work include Artificial Intelligence in Healthcare (14 papers), Sentiment Analysis and Opinion Mining (10 papers) and Imbalanced Data Classification Techniques (8 papers). Saba Bashir is often cited by papers focused on Artificial Intelligence in Healthcare (14 papers), Sentiment Analysis and Opinion Mining (10 papers) and Imbalanced Data Classification Techniques (8 papers). Saba Bashir collaborates with scholars based in Pakistan, United States and Saudi Arabia. Saba Bashir's co-authors include Farhan Hassan Khan, Usman Qamar, Muhammad Younus Javed, Khurram Bashir, Abdulwahab Ali Almazroi, Mohammed Javed, Saman Ebadi, Eman Aldhahri, Abdulaleem Ali Almazroi and Afzal Shah and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Surface Science.

In The Last Decade

Saba Bashir

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saba Bashir Pakistan 23 975 508 298 136 104 43 1.5k
Vaibhav Rupapara United States 13 597 0.6× 175 0.3× 232 0.8× 87 0.6× 189 1.8× 19 1.0k
Tasadduq Imam Australia 13 533 0.5× 287 0.6× 207 0.7× 37 0.3× 61 0.6× 40 1.1k
Mohamed Bahaj Morocco 10 303 0.3× 200 0.4× 153 0.5× 69 0.5× 62 0.6× 108 637
Liang Yao China 18 1.4k 1.5× 108 0.2× 275 0.9× 115 0.8× 123 1.2× 36 1.9k
Jun Yan China 24 939 1.0× 70 0.1× 328 1.1× 54 0.4× 117 1.1× 81 1.7k
Wahidah Husain Malaysia 12 415 0.4× 237 0.5× 245 0.8× 25 0.2× 44 0.4× 47 1.1k
Buzhou Tang China 30 2.0k 2.0× 217 0.4× 150 0.5× 58 0.4× 39 0.4× 127 2.7k
Neda Abdelhamid New Zealand 14 466 0.5× 108 0.2× 475 1.6× 27 0.2× 51 0.5× 22 928
Gökçe Banu Laleci Ertürkmen Türkiye 19 407 0.4× 280 0.6× 367 1.2× 16 0.1× 62 0.6× 59 980
Kira Radinsky Israel 21 828 0.8× 64 0.1× 350 1.2× 20 0.1× 63 0.6× 61 1.5k

Countries citing papers authored by Saba Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Saba Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Bashir

This figure shows the co-authorship network connecting the top 25 collaborators of Saba Bashir. A scholar is included among the top collaborators of Saba 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 Saba Bashir. Saba 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.
2.
Bashir, Saba, et al.. (2023). Hybrid machine learning model for malware analysis in android apps. Pervasive and Mobile Computing. 97. 101859–101859. 12 indexed citations
3.
Almazroi, Abdulwahab Ali, et al.. (2023). A Clinical Decision Support System for Heart Disease Prediction Using Deep Learning. IEEE Access. 11. 61646–61659. 40 indexed citations
4.
5.
Almazroi, Abdulwahab Ali, et al.. (2022). An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry. PeerJ Computer Science. 8. e854–e854. 28 indexed citations
6.
Bashir, Saba, et al.. (2020). Indicators of Marital Satisfaction in Married Couples. 1(1). 39–48. 1 indexed citations
7.
Ebadi, Saman & Saba Bashir. (2020). An exploration into EFL learners’ writing skills via mobile-based dynamic assessment. Education and Information Technologies. 26(2). 1995–2016. 26 indexed citations
8.
Khan, Farhan Hassan, et al.. (2018). Application Development Models for Mobile Cloud Computing. 8147. 1–6. 1 indexed citations
9.
Mansha, Asim, et al.. (2017). Collaborative filtering based online recommendation systems: A survey. 125–130. 15 indexed citations
10.
Bashir, Saba, et al.. (2016). HMV: A medical decision support framework using multi-layer classifiers for disease prediction. Journal of Computational Science. 13. 10–25. 59 indexed citations
11.
Khan, Farhan Hassan, Usman Qamar, & Saba Bashir. (2016). eSAP: A decision support framework for enhanced sentiment analysis and polarity classification. Information Sciences. 367-368. 862–873. 54 indexed citations
12.
Khan, Farhan Hassan, Usman Qamar, & Saba Bashir. (2016). A semi-supervised approach to sentiment analysis using revised sentiment strength based on SentiWordNet. Knowledge and Information Systems. 51(3). 851–872. 71 indexed citations
13.
Khan, Farhan Hassan, Usman Qamar, & Saba Bashir. (2016). SWIMS: Semi-supervised subjective feature weighting and intelligent model selection for sentiment analysis. Knowledge-Based Systems. 100. 97–111. 40 indexed citations
14.
Bashir, Saba, Usman Qamar, & Farhan Hassan Khan. (2016). WebMAC: A web based clinical expert system. Information Systems Frontiers. 20(5). 1135–1151. 9 indexed citations
15.
Khan, Farhan Hassan, Usman Qamar, & Saba Bashir. (2015). Building Normalized SentiMI to enhance semi-supervised sentiment analysis. Journal of Intelligent & Fuzzy Systems. 29(5). 1805–1816. 10 indexed citations
16.
Bashir, Saba, Usman Qamar, & Farhan Hassan Khan. (2015). IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework. Journal of Biomedical Informatics. 59. 185–200. 107 indexed citations
17.
Qamar, Usman, et al.. (2015). A Majority Vote Based Classifier Ensemble for Web Service Classification. Business & Information Systems Engineering. 58(4). 249–259. 17 indexed citations
18.
Bashir, Saba, Usman Qamar, & Farhan Hassan Khan. (2015). BagMOOV: A novel ensemble for heart disease prediction bootstrap aggregation with multi-objective optimized voting. Australasian Physical & Engineering Sciences in Medicine. 38(2). 305–323. 63 indexed citations
19.
Bashir, Saba, Usman Qamar, Farhan Hassan Khan, & Mohammed Javed. (2014). MV5: A Clinical Decision Support Framework for Heart Disease Prediction Using Majority Vote Based Classifier Ensemble. Arabian Journal for Science and Engineering. 39(11). 7771–7783. 51 indexed citations
20.
Bashir, Saba, et al.. (2011). Entropy Based Data Hiding in Binary Document Images. International Journal of Computer and Electrical Engineering. 503–506. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Vaibhav Rupapara Breakdown of academic impact, for papers by Tasadduq Imam Breakdown of academic impact, for papers by Mohamed Bahaj Breakdown of academic impact, for papers by Liang Yao Breakdown of academic impact, for papers by Jun Yan Breakdown of academic impact, for papers by Wahidah Husain Breakdown of academic impact, for papers by Buzhou Tang Breakdown of academic impact, for papers by Neda Abdelhamid Breakdown of academic impact, for papers by Gökçe Banu Laleci Ertürkmen Breakdown of academic impact, for papers by Kira Radinsky
Rankless by CCL
2026