International Journal of Data and Network Science

835 papers and 4.7k indexed citations i.

About

The 835 papers published in International Journal of Data and Network Science in the last decades have received a total of 4.7k indexed citations. Papers published in International Journal of Data and Network Science usually cover Artificial Intelligence (251 papers), Sociology and Political Science (216 papers) and Information Systems and Management (209 papers) specifically the topics of Organizational and Employee Performance (216 papers), Technology Adoption and User Behaviour (208 papers) and Digital Marketing and Social Media (159 papers). The most active scholars publishing in International Journal of Data and Network Science are Muhammad Turki Alshurideh, Ali Alshahrani, Mohamad Ahmad Saleem Khasawneh, Barween Al Kurdi, Iman Akour, Jassim Ahmad Al-Gasawneh, Hotlan Siagian, Mochammad Fahlevi, Zeplin Jiwa Husada Tarigan and Armin Jabbarzadeh.

In The Last Decade

Fields of papers published in International Journal of Data and Network Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Data and Network Science. 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 International Journal of Data and Network Science.

Countries where authors publish in International Journal of Data and Network Science

Since Specialization
Citations

This map shows the geographic impact of research published in International Journal of Data and Network Science. 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 International Journal of Data and Network Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites International Journal of Data and Network Science 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2025