Journal of King Saud University - Computer and Information Sciences

2.1k papers and 29.9k indexed citations i.

About

The 2.1k papers published in Journal of King Saud University - Computer and Information Sciences in the last decades have received a total of 29.9k indexed citations. Papers published in Journal of King Saud University - Computer and Information Sciences usually cover Artificial Intelligence (834 papers), Computer Vision and Pattern Recognition (573 papers) and Computer Networks and Communications (532 papers) specifically the topics of IoT and Edge/Fog Computing (143 papers), Topic Modeling (135 papers) and Chaos-based Image/Signal Encryption (127 papers). The most active scholars publishing in Journal of King Saud University - Computer and Information Sciences are Partha Pratim Ray, Aytuğ Onan, Ammar Mohammed, Rania Kora, Atul Bansal, Anuja Bhargava, R. Dhanalakshmi, Utkarsh Mahadeo Khaire, Muhanna Muhanna and Aswani Kumar Cherukuri.

In The Last Decade

Fields of papers published in Journal of King Saud University - Computer and Information Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of King Saud University - Computer and Information Sciences. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of King Saud University - Computer and Information Sciences.

Countries where authors publish in Journal of King Saud University - Computer and Information Sciences

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of King Saud University - Computer and Information Sciences. 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 papers published in Journal of King Saud University - Computer and Information Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of King Saud University - Computer and Information Sciences more than expected).

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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