Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
Data Mining: A Preprocessing Engine
2006426 citationsLuai Al-Shalabi, Zyad Shaaban et al.Journal of Computer Scienceprofile →
Countries citing papers authored by Luai Al-Shalabi
Since Specialization
Citations
This map shows the geographic impact of Luai Al-Shalabi'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 Luai Al-Shalabi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luai Al-Shalabi more than expected).
This network shows the impact of papers produced by Luai Al-Shalabi. 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 Luai Al-Shalabi. The network helps show where Luai Al-Shalabi may publish in the future.
Co-authorship network of co-authors of Luai Al-Shalabi
This figure shows the co-authorship network connecting the top 25 collaborators of Luai Al-Shalabi.
A scholar is included among the top collaborators of Luai Al-Shalabi 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 Luai Al-Shalabi. Luai Al-Shalabi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Luai Al-Shalabi is a scholar working on Information Systems, Computational Theory and Mathematics and Artificial Intelligence, having authored 13 papers that have together received 622 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Rough Sets and Fuzzy Logic (4 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Health Information Management (29 citations), Artificial Intelligence (194 citations) and Information Systems (105 citations). Luai Al-Shalabi has collaborated with scholars based in Kuwait, Jordan and Hong Kong. Frequent co-authors include Zyad Shaaban. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Computer Science.
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.