Asra Khalid

659 citations
21 papers · 486 · h-index 12

Impact in

Papers in

Asra Khalid

20 papers receiving 473 citations

Peers

Asra Khalid
Comparison fields: 5 of 98
  • Computer Science Applications 59
  • Information Systems 178
  • Computer Vision and Pattern Recognition 155
  • Transportation 34
  • Hepatology 39
Replace Karan Aggarwal with:
Karan Aggarwal India
Nasser Alshammari Saudi Arabia
Ashwin Verma India
Edward Rolando Núñez‐Valdéz Spain
Zheng Song United States
Atif Khan Pakistan
Yuris Mulya Saputra Indonesia
Shenggong Ji China
Mohamed Abdulnabi Malaysia
Jana Nowaková Czechia
Asra Khalid relative to Karan Aggarwal India Karan Aggarwal's profile →
Citations per field
00.5×11.3×
Karan Aggarwal · 1×
Citations per year

Countries citing papers authored by Asra Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Asra Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Asra 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 Asra Khalid Line = papers co-authored together Asra Khalid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015165
2 202051
3 201748
4 202034
5 202129
6 201929
7 201823
8 202116
9 201816
10 201714
11 201313
12 202011
13 20178
14 20167
15 20145
16 20145
17 20144
18 20204
19 20152
20 20141

About Asra Khalid

Asra Khalid is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Computer Science Applications, having authored 21 papers that have together received 486 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), Recommender Systems and Techniques (7 papers), Online Learning and Analytics (4 papers), Software Engineering Techniques and Practices (3 papers), Data Stream Mining Techniques (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), User Authentication and Security Systems (3 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Science Applications (59 citations), Information Systems (178 citations), Computer Vision and Pattern Recognition (155 citations), Transportation (34 citations) and Hepatology (39 citations). Asra Khalid has collaborated with scholars based in Pakistan, United Kingdom and New Zealand. Frequent co-authors include Muhammad Awais Azam, Usman Naeem, Mustansar Ali Ghazanfar, Adam Prügel‐Bennett, Muhammad Ehatisham-ul-Haq, Anne Yates, Karsten Lundqvist, Waleed Ejaz, Syed Muhammad Anwar and Faisal Hussain. Their work appears in journals such as Information Sciences, Arabian Journal for Science and Engineering, IEEE Sensors Journal, The International Review of Research in Open and Distributed Learning and Sensors.

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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