Journal of Decision System

744 papers and 6.4k indexed citations i.

About

The 744 papers published in Journal of Decision System in the last decades have received a total of 6.4k indexed citations. Papers published in Journal of Decision System usually cover Management Information Systems (215 papers), Management Science and Operations Research (178 papers) and Artificial Intelligence (125 papers) specifically the topics of Big Data and Business Intelligence (112 papers), Technology Adoption and User Behaviour (53 papers) and Business Process Modeling and Analysis (52 papers). The most active scholars publishing in Journal of Decision System are Daniel Power, Gloria Phillips‐Wren, David Arnott, Bertrand Mareschal, Ciara Heavin, Jean‐Pierre Brans, David Sammon, Shashidhar Kaparthi, Richard T. Watson and Jane Webster.

In The Last Decade

Fields of papers published in Journal of Decision System

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Decision System. 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 Decision System.

Countries where authors publish in Journal of Decision System

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Decision System. 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 Decision System 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 Decision System 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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