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.
Differential evolution: A recent review based on state-of-the-art works
2021288 citationsNor Ashidi Mat Isa et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Nor Ashidi Mat Isa
Since
Specialization
Citations
This map shows the geographic impact of Nor Ashidi Mat Isa'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 Nor Ashidi Mat Isa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nor Ashidi Mat Isa more than expected).
Fields of papers citing papers by Nor Ashidi Mat Isa
This network shows the impact of papers produced by Nor Ashidi Mat Isa. 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 Nor Ashidi Mat Isa. The network helps show where Nor Ashidi Mat Isa may publish in the future.
Co-authorship network of co-authors of Nor Ashidi Mat Isa
This figure shows the co-authorship network connecting the top 25 collaborators of Nor Ashidi Mat Isa.
A scholar is included among the top collaborators of Nor Ashidi Mat Isa 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 Nor Ashidi Mat Isa. Nor Ashidi Mat Isa is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Isa, Nor Ashidi Mat, et al.. (2012). Automatic segmentation and detection of mass in digital mammograms. International Conference on Signal Processing. 143–146.6 indexed citations
Isa, Nor Ashidi Mat, et al.. (2011). Two-dimensional clustering algorithms for image segmentation. WSEAS Transactions on Computers archive. 10(10). 332–342.1 indexed citations
Isa, Nor Ashidi Mat, et al.. (2009). Automated Multicells Segmentation of ThinPrep^[○!R] Image Using Modified Seed Based Region Growing Algorithm( Biosensors: Data Acquisition, Processing and Control). 14(2). 41–47.8 indexed citations
Isa, Nor Ashidi Mat, et al.. (2008). Classification Of Malaria Parasite Species Based On Thin Blood Smears Using Multilayer Perceptron Network. The International Journal of the Computer, the Internet and Management. 16(1). 46–52.13 indexed citations
17.
Zamli, Kamal Z., et al.. (2007). A Tool for Automated Test Data Generation (and Execution) Based on Combinatorial Approach. International Journal of Software Engineering and Its Applications. 1(1). 19–35.21 indexed citations
18.
Isa, Nor Ashidi Mat, et al.. (2006). Breast Cancer Diagnosis Systems: A Review.. The International Journal of the Computer, the Internet and Management. 14(2). 24–35.4 indexed citations
19.
Isa, Nor Ashidi Mat, Mohd Yusoff Mashor, Nor Hayati Othman, & Kamal Z. Zamli. (2005). APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN THE CLASSIFICATION OF CERVICAL CELLS BASED ON THE BETHESDA SYSTEM. SHILAP Revista de lepidopterología.1 indexed citations
20.
Zamli, Kamal Z., et al.. (2005). The Design and Implementation of the VRPML Support Environments. Malaysian Journal of Computer Science. 18(1). 57–69.6 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.