Abdulrahman Mirza

551 total citations
32 papers, 354 citations indexed

About

Abdulrahman Mirza is a scholar working on Information Systems, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Abdulrahman Mirza has authored 32 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 8 papers in Artificial Intelligence and 6 papers in Information Systems and Management. Recurrent topics in Abdulrahman Mirza's work include Technology Adoption and User Behaviour (6 papers), Software Engineering Techniques and Practices (5 papers) and Software Engineering Research (4 papers). Abdulrahman Mirza is often cited by papers focused on Technology Adoption and User Behaviour (6 papers), Software Engineering Techniques and Practices (5 papers) and Software Engineering Research (4 papers). Abdulrahman Mirza collaborates with scholars based in Saudi Arabia, Egypt and United States. Abdulrahman Mirza's co-authors include Areej Alhogail, Abeer Abdulaziz Alsanad, Hessah A. Alsalamah, Muhammad Abulaish, Imran Razzak, Abdel Belaı̈d, Saudi Arabia, Khaled Alghathbar, Thamer Nouh and Shada Alsalamah and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Abdulrahman Mirza

29 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdulrahman Mirza Saudi Arabia 10 156 85 70 68 51 32 354
Borka Jerman Blažič Slovenia 9 141 0.9× 41 0.5× 73 1.0× 39 0.6× 35 0.7× 45 412
Rima Shishakly United Arab Emirates 8 106 0.7× 103 1.2× 68 1.0× 61 0.9× 28 0.5× 29 367
Dušan Barać Serbia 10 125 0.8× 55 0.6× 63 0.9× 83 1.2× 41 0.8× 43 399
Muhammad Arif Pakistan 12 186 1.2× 86 1.0× 77 1.1× 83 1.2× 57 1.1× 47 473
Bruce E. Massis United States 11 148 0.9× 58 0.7× 25 0.4× 35 0.5× 43 0.8× 43 315
Kehbuma Langmia United States 7 164 1.1× 72 0.8× 77 1.1× 42 0.6× 60 1.2× 22 392
Zahid Hussain Pakistan 11 173 1.1× 77 0.9× 114 1.6× 62 0.9× 25 0.5× 34 482
Dimitris Gouscos Greece 9 93 0.6× 54 0.6× 77 1.1× 34 0.5× 37 0.7× 30 368
Bill Davey Australia 10 108 0.7× 51 0.6× 102 1.5× 44 0.6× 14 0.3× 50 328
Mohd Zaidi Abd Rozan Malaysia 9 77 0.5× 70 0.8× 46 0.7× 37 0.5× 18 0.4× 36 314

Countries citing papers authored by Abdulrahman Mirza

Since Specialization
Citations

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

Fields of papers citing papers by Abdulrahman Mirza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulrahman Mirza

This figure shows the co-authorship network connecting the top 25 collaborators of Abdulrahman Mirza. A scholar is included among the top collaborators of Abdulrahman Mirza 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 Abdulrahman Mirza. Abdulrahman Mirza 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.
Mirza, Abdulrahman, et al.. (2025). Exploring feature engineering and explainable AI for phishing website detection: a systematic literature review. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 15(6). 5863–5863.
2.
Mirza, Abdulrahman, et al.. (2024). Rumor gatekeepers: Unsupervised ranking of Arabic twitter authorities for information verification. Journal of King Saud University - Computer and Information Sciences. 36(6). 102111–102111. 1 indexed citations
3.
Alsalamah, Shada, et al.. (2024). COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal. Sensors. 24(8). 2641–2641. 9 indexed citations
4.
Al‐Khalifa, Hend S., et al.. (2023). A Data-Driven Exploration of a New Islamic Fatwas Dataset for Arabic NLP Tasks. Data. 8(10). 155–155. 2 indexed citations
5.
Mirza, Abdulrahman, et al.. (2023). Post-COVID-19 Vaccination Infection Among Adults in Saudi Arabia: A Cross-Sectional Study. Cureus. 15(10). e47552–e47552. 2 indexed citations
6.
Alsalamah, Shada, et al.. (2022). Detection and Classification of COVID-19 by Radiological Imaging Modalities Using Deep Learning Techniques: A Literature Review. Applied Sciences. 12(20). 10535–10535. 6 indexed citations
7.
Mirza, Abdulrahman, et al.. (2016). The Attitudes of Agricultural Extension Workers towards the Use of E-Extension for Ensuring Sustainability in the Kingdom of Saudi Arabia. Sustainability. 8(10). 980–980. 13 indexed citations
8.
Mirza, Abdulrahman, et al.. (2015). Twitter and the Opportunity for Small Business Entrepreneurs in Saudi Arabia. 4. 32–38. 3 indexed citations
9.
Abulaish, Muhammad, et al.. (2014). Spammer Classification Using Ensemble Methods over Structural Social Network Features. 454–458. 25 indexed citations
10.
Alhogail, Areej & Abdulrahman Mirza. (2014). Information security culture: A definition and a literature review. 1–7. 43 indexed citations
11.
Razzak, Imran, et al.. (2012). Bio-inspired multilayered and multilanguage Arabic script character recognition system. International journal of innovative computing, information & control. 8(4). 2681–2691. 5 indexed citations
12.
Razzak, Imran, et al.. (2012). FUZZY BASED PREPROCESSING USING FUSION OF ONLINE AND OFFLINE TRAIT FOR ONLINE URDU SCRIPT BASED LANGUAGES CHARACTER RECOGNITION. Figshare. 6 indexed citations
13.
Razzak, Imran & Abdulrahman Mirza. (2011). Ghost Character Recognition Theory and Arabic Script Based Languages Character Recognition. PRZEGLĄD ELEKTROTECHNICZNY. 87(9). 234–238. 4 indexed citations
14.
Mirza, Abdulrahman. (2010). Critical Success and Failure Factors in a Charitable Organization’s Systems Development and Adoption. Americas Conference on Information Systems. 381. 4 indexed citations
15.
Mirza, Abdulrahman. (2010). Failure and Success Factors of an Information System Development in a Charitable Organization. Global Journal of Management and Business Research. 10(3). 9 indexed citations
16.
Mirza, Abdulrahman. (2009). Developing University E-Content Through Incentives Almost Overnight, the Case of King Saud University. EdMedia: World Conference on Educational Media and Technology. 2009(1). 414–426. 1 indexed citations
17.
Mirza, Abdulrahman. (2008). Students’ Perceived Barriers to In‐Class Participation in a Distributed and Gender Segregated Educational Environment. The Electronic Journal of Information Systems in Developing Countries. 35(1). 1–17. 11 indexed citations
18.
Mirza, Abdulrahman. (2007). Utilizing Distance Learning Technologies to Deliver Courses in a Segregated Educational Environment. EdMedia: World Conference on Educational Media and Technology. 2007(1). 126–129. 9 indexed citations
19.
Settle, Amber, et al.. (2003). Informed Discussion in Information Technology Survey Courses. The Institutional Repository at DePaul University (DePaul University). 1(6). 1 indexed citations
20.
Mirza, Abdulrahman. (1998). Saudi Arabia and the Internet Technology.. WebNet. 3 indexed citations

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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