Ibrahim Albluwi

902 total citations · 2 hit papers
10 papers, 544 citations indexed

About

Ibrahim Albluwi is a scholar working on Computer Science Applications, Information Systems and Software. According to data from OpenAlex, Ibrahim Albluwi has authored 10 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Science Applications, 4 papers in Information Systems and 4 papers in Software. Recurrent topics in Ibrahim Albluwi's work include Teaching and Learning Programming (9 papers), Online Learning and Analytics (4 papers) and Software Engineering Research (4 papers). Ibrahim Albluwi is often cited by papers focused on Teaching and Learning Programming (9 papers), Online Learning and Analytics (4 papers) and Software Engineering Research (4 papers). Ibrahim Albluwi collaborates with scholars based in United States, Jordan and New Zealand. Ibrahim Albluwi's co-authors include Brett A. Becker, Andrew Luxton-Reilly, Judy Sheard, Claudia Szabo, Michael Scott, James H. Paterson, Michail N. Giannakos, Amruth N. Kumar, Linda Ott and Norma P. Simon and has published in prestigious journals such as Journal of Computer Assisted Learning, IEEE Transactions on Education and ACM Transactions on Computing Education.

In The Last Decade

Ibrahim Albluwi

8 papers receiving 528 citations

Hit Papers

Introductory programming: a systematic literature review 2018 2026 2020 2023 2018 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ibrahim Albluwi United States 6 424 139 127 94 66 10 544
Ralf Romeike Germany 14 348 0.8× 144 1.0× 158 1.2× 59 0.6× 31 0.5× 68 524
Natalie Kiesler Germany 11 298 0.7× 158 1.1× 70 0.6× 133 1.4× 23 0.3× 53 510
Raymond Pettit United States 13 591 1.4× 269 1.9× 233 1.8× 120 1.3× 195 3.0× 22 771
Benjamin Xie United States 11 391 0.9× 168 1.2× 144 1.1× 66 0.7× 78 1.2× 20 520
Veronica Cateté United States 13 489 1.2× 119 0.9× 251 2.0× 76 0.8× 28 0.4× 74 585
Deborah Seehorn United States 7 528 1.2× 150 1.1× 173 1.4× 149 1.6× 13 0.2× 8 738
Hieke Keuning Netherlands 14 627 1.5× 349 2.5× 104 0.8× 212 2.3× 275 4.2× 32 841
Diana Cukierman Canada 8 265 0.6× 85 0.6× 92 0.7× 82 0.9× 25 0.4× 31 401
Charles Riedesel United States 16 463 1.1× 175 1.3× 167 1.3× 60 0.6× 46 0.7× 31 725
Tobias Kohn United States 7 212 0.5× 73 0.5× 52 0.4× 102 1.1× 38 0.6× 21 317

Countries citing papers authored by Ibrahim Albluwi

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Albluwi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ibrahim Albluwi

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

All Works

10 of 10 papers shown
1.
Albluwi, Ibrahim, et al.. (2025). Varying Program Input to Assess Code Reading Skills. ACM Transactions on Computing Education. 25(3). 1–40.
2.
Albluwi, Ibrahim, et al.. (2024). Automating Autograding: Large Language Models as Test Suite Generators for Introductory Programming. Journal of Computer Assisted Learning. 41(1). 4 indexed citations
3.
Prather, James, Paul Denny, Juho Leinonen, et al.. (2023). Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans. 561–562. 16 indexed citations
4.
Prather, James, Paul Denny, Juho Leinonen, et al.. (2023). The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. 108–159. 151 indexed citations breakdown →
6.
Nelson, Greg L., Ari Korhonen, Ibrahim Albluwi, et al.. (2020). Assessing How Pre-requisite Skills Affect Learning of Advanced Concepts. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 506–507. 1 indexed citations
7.
Albluwi, Ibrahim. (2019). Plagiarism in Programming Assessments. ACM Transactions on Computing Education. 20(1). 1–28. 35 indexed citations
8.
Luxton-Reilly, Andrew, Norma P. Simon, Ibrahim Albluwi, et al.. (2018). Introductory programming: a systematic literature review. Falmouth University Research Repository (FURR) (Falmouth University). 55–106. 315 indexed citations breakdown →
9.
Luxton-Reilly, Andrew, Norma P. Simon, Ibrahim Albluwi, et al.. (2018). A review of introductory programming research 2003–2017. ResearchOnline (Glasgow Caledonian University). 342–343. 12 indexed citations
10.
Albluwi, Ibrahim. (2018). A Closer Look at the Differences Between Graders in Introductory Computer Science Exams. IEEE Transactions on Education. 61(3). 253–260. 10 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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