Arwa Mashat

30 papers and 305 indexed citations i.

About

Arwa Mashat is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arwa Mashat has authored 30 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arwa Mashat’s work include Network Security and Intrusion Detection (5 papers), Blockchain Technology Applications and Security (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Arwa Mashat is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Blockchain Technology Applications and Security (4 papers) and Energy Efficient Wireless Sensor Networks (4 papers). Arwa Mashat collaborates with scholars based in Saudi Arabia, India and United Kingdom. Arwa Mashat's co-authors include Surbhi Bhatia, Rajeev Tiwari, Shilpi Harnal, Shuchi Upadhyay, Prabhjot Kaur, Adarsh Kumar, Sahnius Usman, Mohammed Shuaib, Noor Hafizah Hassan and Shadab Alam and has published in prestigious journals such as Sensors, IEEE Access and Frontiers in Public Health.

In The Last Decade

Co-authorship network of co-authors of Arwa Mashat i

Fields of papers citing papers by Arwa Mashat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arwa Mashat. 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 Arwa Mashat. The network helps show where Arwa Mashat may publish in the future.

Countries citing papers authored by Arwa Mashat

Since Specialization
Citations

This map shows the geographic impact of Arwa Mashat'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 Arwa Mashat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arwa Mashat 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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2025