Princess Sumaya University for Technology

1.4k papers and 16.5k indexed citations i.

About

In recent decades, authors affiliated with Princess Sumaya University for Technology have published 1.4k papers, which have received a total of 16.5k indexed citations. Scholars at this organization have produced 389 papers in Artificial Intelligence, 226 papers in Electrical and Electronic Engineering and 224 papers in Information Systems on the topics of Technology Adoption and User Behaviour (98 papers), Organizational and Employee Performance (96 papers) and Network Security and Intrusion Detection (89 papers). Their work is cited by papers focused on Artificial Intelligence (3.8k citations), Modeling and Simulation (2.5k citations) and Information Systems (2.2k citations). Authors at Princess Sumaya University for Technology collaborate with scholars in Jordan, United States and Saudi Arabia and have published in prestigious journals including Journal of Applied Physics, PLoS ONE and Scientific Reports. Some of Princess Sumaya University for Technology's most productive authors include Mohammad Sababheh, Roshdi Khalil, A. Yousef, Mohammed Al Horani, Mahmoud Mohammad Migdadi, Ahmad Hiasat, Qasem Abu Al‐Haija, Arafat Awajan, Ali Al‐Haj and Moh’d Anwer AL-Shboul.

In The Last Decade

Fields of papers published by authors at Princess Sumaya University for Technology

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Princess Sumaya University for Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Princess Sumaya University for Technology at the time of their publication.

Countries citing scholars working at Princess Sumaya University for Technology

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Princess Sumaya University for Technology. 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 produced at Princess Sumaya University for Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Princess Sumaya University for Technology 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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