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.
Healthcare Data Breaches: Insights and Implications
2020287 citationsAdil Hussain Seh, Mohammad Zarour et al.Healthcareprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Mohammad Zarour
Since
Specialization
Citations
This map shows the geographic impact of Mohammad Zarour'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 Mohammad Zarour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Zarour more than expected).
This network shows the impact of papers produced by Mohammad Zarour. 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 Mohammad Zarour. The network helps show where Mohammad Zarour may publish in the future.
Co-authorship network of co-authors of Mohammad Zarour
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Zarour.
A scholar is included among the top collaborators of Mohammad Zarour 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 Mohammad Zarour. Mohammad Zarour is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Seh, Adil Hussain, Mohammad Zarour, Mamdouh Alenezi, et al.. (2020). Healthcare Data Breaches: Insights and Implications. Healthcare. 8(2). 133–133.287 indexed citations breakdown →
Abran, Alain, Jean‐Marc Desharnais, Mohammad Zarour, & Onur Demirörs. (2014). Productivity-Based Software Estimation Model: An Economics Perspective and an Empirical Study. International Conference on Software Engineering Advances. 196–201.1 indexed citations
Zarour, Mohammad, Alain Abran, & Jean‐Marc Desharnais. (2012). Software process improvement and management: approaches and tools for practical development.2 indexed citations
19.
Zarour, Mohammad, Alain Abran, Jean‐Marc Desharnais, & Luigi Buglione. (2010). Design and implementation of lightweight software process assessment methods : survey of best practices.2 indexed citations
20.
Zarour, Mohammad, Jean‐Marc Desharnais, & Alain Abran. (2007). A framework to compare software process assessment methods dedicated to small and very small organizations.2 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.