Hajra Waheed

933 citations
9 papers · 593 indexed · 1 hit paper · h-index 7
Topics
Online Learning and Analytics (5 papers)Multimodal Machine Learning Applications (2 papers)E-Learning and Knowledge Management (2 papers)

In The Last Decade

Hajra Waheed

9 papers receiving 566 citations

Hit Papers

Predicting academic performance of students from VLE big ...20192026202120232019100200300

Peers

Hajra Waheed
Comparison fields: 5 of 87
  • Computer Science Applications 387
  • Artificial Intelligence 204
  • Information Systems 117
  • Education 108
  • Computer Networks and Communications 67
Replace Julie Hardman with:
Julie Hardman United Kingdom
Krishna Madhavan United States
Christos Pierrakeas Greece
Eitel J. M. Lauría United States
Amin Y. Noaman Saudi Arabia
Vassilis Nikolopoulos Greece
Martin Hlosta United Kingdom
Brendan Flanagan Japan
Anna Lea Dyckhoff Germany
Cristian Cechinel Brazil
Hajra Waheed relative to Julie Hardman United Kingdom Julie Hardman's profile →
Citations per field
00.5×1.5×
Julie Hardman · 1×
Citations per year

Countries citing papers authored by Hajra Waheed

Since Specialization
Citations

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

Fields of papers citing papers by Hajra Waheed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajra Waheed

This figure shows the co-authorship network connecting the top 25 collaborators of Hajra Waheed. A scholar is included among the top collaborators of Hajra Waheed 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 Hajra Waheed. Hajra Waheed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 2
3 41
4 20
5 32
6
Predicting academic performance of students from VLE big data using deep learning modelsbreakdown →
337
7 66
8 64
9 30

About Hajra Waheed

Hajra Waheed is a scholar working on Computer Science Applications, Health Information Management and Information Systems and Management, having authored 9 papers that have together received 593 indexed citations. Recurring topics across this work include Online Learning and Analytics (5 papers), Multimodal Machine Learning Applications (2 papers) and E-Learning and Knowledge Management (2 papers). The work is most often cited by research in Computer Science Applications (387 citations), Health Information Management (63 citations) and Health Informatics (13 citations). Hajra Waheed has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Saeed‐Ul Hassan, Naif Radi Aljohani, Raheel Nawaz, Salem Alelyani, Julie Hardman, Anna Visvizi, Mohsen Ali, Sebastián Ventura, Francisco Herrera and Mariam Rehman. Their work appears in journals such as PLoS ONE, Computers in Human Behavior and Expert Systems with Applications.

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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