Samina Khalid

25 papers receiving 1.1k citations

Samina Khalid's Hit Papers

A survey of feature selection and feature extraction techniques in machine learning 2014 · 793 citations
7930+4+8Years since publication250500750

Peers

Samina Khalid
Comparison fields: 5 of 146
  • Ophthalmology 144
  • Artificial Intelligence 384
  • Computer Vision and Pattern Recognition 232
  • Health Information Management 44
  • Radiology, Nuclear Medicine and Imaging 197
Replace Tehmina Khalil with:
Tehmina Khalil Pakistan
Sadaqat Ur Rehman China
Anikó Ekárt United Kingdom
Jamal Hussain Shah Pakistan
Ali Javed Pakistan
Khosro Rezaee Iran
Ghazanfar Latif Saudi Arabia
Marriam Nawaz Pakistan
Fuqian Shi China
Sansanee Auephanwiriyakul Thailand
Samina Khalid relative to Tehmina Khalil Pakistan Tehmina Khalil's profile →
Citations per field
00.5×1.5×1.8×
Tehmina Khalil · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Samina Khalid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samina Khalid Line = papers co-authored together Samina Khalid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey of feature selection and feature extraction techniques in machine learning
Hit paper breakdown →
2014793
2 202278
3 201746
4 201738
5 202135
6 201435
7 201731
8 202013
9 202212
10 202011
11 201910
12 20219
13 20219
14 20176
15 20205
16 20174
17 20232
18 20152
19 20251
20 20251

About Samina Khalid

Samina Khalid is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Retinal Diseases and Treatments (8 papers), Glaucoma and retinal disorders (7 papers), Digital Imaging for Blood Diseases (5 papers), Gene expression and cancer classification (2 papers), Face and Expression Recognition (2 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Ophthalmology (144 citations), Artificial Intelligence (384 citations), Computer Vision and Pattern Recognition (232 citations), Health Information Management (44 citations) and Radiology, Nuclear Medicine and Imaging (197 citations). Samina Khalid has collaborated with scholars based in Pakistan, Saudi Arabia and Malaysia. Frequent co-authors include Tehmina Khalil, Shamila Nasreen, Muhammad Usman Akram, Amina Jameel, Rashid Amin, Taimur Hassan, Adeel M. Syed, Sultan S. Alshamrani, Abdullah Alshehri and Nouman Ali. Their work appears in journals such as International Journal of Imaging Systems and Technology, Journal of Advanced Transportation, Global Bioethics, BioMed Research International and International Journal of Mobile Communications.

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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