Abrar Ullah

38 papers receiving 457 citations

Peers

Abrar Ullah
Comparison fields: 5 of 96
  • Safety Research 71
  • Computer Science Applications 42
  • Information Systems 159
  • Signal Processing 66
  • Health Informatics 6
Replace Sebastian Pape with:
Sebastian Pape Germany
Roberto V. Zicari Germany
Lizzie Coles-Kemp United Kingdom
George F. Hurlburt United States
Jules Polonetsky United States
Asia J. Biega Germany
Laurent Beslay Italy
Shoshana Loeb United States
Mousa Al-kfairy United Arab Emirates
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Citations per field
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Citations per year

Countries citing papers authored by Abrar Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Abrar Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Abrar Ullah, 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 Abrar Ullah Line = papers co-authored together Abrar Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202144
2 202035
3 202033
4 202033
5 201232
6 201830
7
Profile based student authentication in online examination
201230
8 202326
9 201824
10 201421
11 202116
12 202416
13 201615
14 201812
15 202212
16
Servant Leadership and Ethical Climate as Antecedents of Turnover Intentions in the Restaurant Industry of Pakistan
20219
17
Usability of profile based student authentication and traffic light system in online examinations
20128
18 20148
19 20188
20 20147

About Abrar Ullah

Abrar Ullah is a scholar working on Information Systems, Safety Research, Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 39 papers that have together received 489 indexed citations. Recurring topics across this work include Academic integrity and plagiarism (7 papers), Information and Cyber Security (6 papers), User Authentication and Security Systems (6 papers), Advanced Malware Detection Techniques (6 papers), Deception detection and forensic psychology (4 papers), Workplace Spirituality and Leadership (2 papers), Web Application Security Vulnerabilities (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Safety Research (71 citations), Computer Science Applications (42 citations), Information Systems (159 citations), Signal Processing (66 citations) and Health Informatics (6 citations). Abrar Ullah has collaborated with scholars based in United Kingdom, Pakistan and Malaysia. Frequent co-authors include Hannan Xiao, Trevor Barker, Mariana Lilley, Sajid Anwar, Nohman Khan, Muhammad Umer Yasir, Huma Sikandar, Muhammad Imran Qureshi, Abdul Sami and Asfia Obaid. Their work appears in journals such as Neural Computing and Applications, Journal of Grid Computing, IEEE Transactions on Dependable and Secure Computing, ACM Transactions on Intelligent Systems and Technology and Journal of Internet Services and 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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