Samina Khalid

1.7k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

Samina Khalid is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Samina Khalid has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ophthalmology, 11 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Samina Khalid's work include Retinal Imaging and Analysis (11 papers), Retinal Diseases and Treatments (8 papers) and Glaucoma and retinal disorders (7 papers). Samina Khalid is often cited by papers focused on Retinal Imaging and Analysis (11 papers), Retinal Diseases and Treatments (8 papers) and Glaucoma and retinal disorders (7 papers). Samina Khalid collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Samina Khalid's co-authors include Tehmina Khalil, Shamila Nasreen, Muhammad Usman Akram, Amina Jameel, Taimur Hassan, Adeel M. Syed, Rashid Amin, Sultan S. Alshamrani, Abdullah Alshehri and Saadat Hanif Dar and has published in prestigious journals such as BioMed Research International, Computer Communications and Multimedia Tools and Applications.

In The Last Decade

Samina Khalid

23 papers receiving 1.1k citations

Hit Papers

A survey of feature selection and feature extraction tech... 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samina Khalid Pakistan 11 390 236 202 157 110 27 1.1k
Tehmina Khalil Pakistan 9 372 1.0× 425 1.8× 268 1.3× 202 1.3× 78 0.7× 13 1.2k
Norah Saleh Alghamdi Saudi Arabia 21 438 1.1× 236 1.0× 363 1.8× 92 0.6× 175 1.6× 106 1.3k
Saroj Kr. Biswas India 19 756 1.9× 267 1.1× 274 1.4× 66 0.4× 155 1.4× 108 1.6k
Chirag Patel India 11 255 0.7× 370 1.6× 120 0.6× 76 0.5× 42 0.4× 37 961
Atef Zaguia Saudi Arabia 19 326 0.8× 245 1.0× 184 0.9× 41 0.3× 138 1.3× 51 1.2k
Anikó Ekárt United Kingdom 16 313 0.8× 175 0.7× 94 0.5× 61 0.4× 55 0.5× 71 1.2k
Khosro Rezaee Iran 18 328 0.8× 304 1.3× 158 0.8× 41 0.3× 45 0.4× 70 943
Diyar Qader Zeebaree Iraq 14 646 1.7× 360 1.5× 308 1.5× 33 0.2× 100 0.9× 25 1.3k
Sansanee Auephanwiriyakul Thailand 16 445 1.1× 351 1.5× 132 0.7× 27 0.2× 75 0.7× 103 1.1k
Changsheng Li China 24 602 1.5× 956 4.1× 111 0.5× 76 0.5× 64 0.6× 77 1.6k

Countries citing papers authored by Samina Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Samina Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samina Khalid

This figure shows the co-authorship network connecting the top 25 collaborators of Samina Khalid. A scholar is included among the top collaborators of Samina Khalid 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 Samina Khalid. Samina Khalid 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.
Okwu, Modestus O., et al.. (2025). Predicting the Impact of Cognitive Load and Psychological Well-Being Among Workers in Manufacturing Environments. Procedia Computer Science. 253. 2859–2868.
3.
Khalid, Samina, et al.. (2025). A Review of Federated Learning Attacks: Threat Models and Defence Strategies. International Journal of Advanced Computer Science and Applications. 16(7).
4.
Nadeem, Malik Sajjad Ahmed, et al.. (2023). Improving the Classification Ability of Delegating Classifiers Using Different Supervised Machine Learning Algorithms. Computer and Information Science. 16(3). 22–22. 1 indexed citations
5.
Khalid, Samina, et al.. (2023). Deep learning based Glaucoma Network Classification (GNC) using retinal images. International Journal of Imaging Systems and Technology. 34(2). 1 indexed citations
6.
Amin, Rashid, et al.. (2022). Machine Learning Algorithms for Depression: Diagnosis, Insights, and Research Directions. Electronics. 11(7). 1111–1111. 71 indexed citations
7.
Butt, Muhammad Atif, et al.. (2022). Face mask detection and social distance monitoring system for COVID-19 pandemic. Multimedia Tools and Applications. 82(9). 14135–14152. 11 indexed citations
8.
Rasheed, Aqsa, Bushra Zafar, Naila Aslam, et al.. (2021). Requirement Engineering Challenges in Agile Software Development. Mathematical Problems in Engineering. 2021. 1–18. 34 indexed citations
9.
Ahmad, Iftikhar, et al.. (2021). Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System. Journal of Advanced Transportation. 2021. 1–11. 7 indexed citations
10.
Khalil, Tehmina, Muhammad Usman Akram, Samina Khalid, Saadat Hanif Dar, & Nouman Ali. (2021). A study to identify limitations of existing automated systems to detect glaucoma at initial and curable stage. International Journal of Imaging Systems and Technology. 31(3). 1155–1173. 9 indexed citations
11.
Khalid, Samina, et al.. (2020). Automated diagnosis system for age‐related macular degeneration using hybrid features set from fundus images. International Journal of Imaging Systems and Technology. 31(1). 236–252. 10 indexed citations
12.
Rathore, M. Mazhar, et al.. (2020). Emotion-controlled spectrum mobility scheme for efficient syntactic interoperability in cognitive radio-based unmanned vehicles. Computer Communications. 160. 1–13. 5 indexed citations
13.
Akram, Muhammad Usman, et al.. (2020). Improved automated detection of glaucoma by correlating fundus and SD‐OCT image analysis. International Journal of Imaging Systems and Technology. 30(4). 1046–1065. 12 indexed citations
14.
Khalid, Samina, Muhammad Usman Akram, Taimur Hassan, Amina Jameel, & Tehmina Khalil. (2017). Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMD. Journal of Digital Imaging. 31(4). 464–476. 29 indexed citations
15.
Khalid, Samina, et al.. (2017). Interview based iterative requirement elicitation for ARMD detection in OCT images. 610–614. 1 indexed citations
16.
Khalil, Tehmina, Muhammad Usman Akram, Samina Khalid, & Amina Jameel. (2017). Improved automated detection of glaucoma from fundus image using hybrid structural and textural features. IET Image Processing. 11(9). 693–700. 45 indexed citations
17.
Khalid, Samina, et al.. (2015). The role of knowledge management in global software engineering. 1–5. 2 indexed citations
18.
Khalid, Samina, Tehmina Khalil, & Shamila Nasreen. (2014). A survey of feature selection and feature extraction techniques in machine learning. 372–378. 777 indexed citations breakdown →
19.
Khalil, Tehmina, Samina Khalid, & Adeel M. Syed. (2014). Review of Machine Learning techniques for glaucoma detection and prediction. 438–442. 34 indexed citations
20.
Khalid, Samina, et al.. (2012). Securing Internet Information Services (IIS) configuration files. International Conference for Internet Technology and Secured Transactions. 726–729.

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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