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.
Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions
2024258 citationsAmmar Abulibdeh, Esmat Zaidan et al.Journal of Cleaner Productionprofile →
Countries citing papers authored by Rawan Abulibdeh
Since
Specialization
Citations
This map shows the geographic impact of Rawan Abulibdeh'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 Rawan Abulibdeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rawan Abulibdeh more than expected).
This network shows the impact of papers produced by Rawan Abulibdeh. 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 Rawan Abulibdeh. The network helps show where Rawan Abulibdeh may publish in the future.
Co-authorship network of co-authors of Rawan Abulibdeh
This figure shows the co-authorship network connecting the top 25 collaborators of Rawan Abulibdeh.
A scholar is included among the top collaborators of Rawan Abulibdeh 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 Rawan Abulibdeh. Rawan Abulibdeh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions breakdown →
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.