Decision Support Systems

4.3k papers and 168.7k indexed citations i.

About

The 4.3k papers published in Decision Support Systems in the last decades have received a total of 168.7k indexed citations. Papers published in Decision Support Systems usually cover Artificial Intelligence (1.2k papers), Management Science and Operations Research (1.0k papers) and Information Systems (884 papers) specifically the topics of Digital Marketing and Social Media (422 papers), Technology Adoption and User Behaviour (390 papers) and Consumer Market Behavior and Pricing (296 papers). The most active scholars publishing in Decision Support Systems are Dan J. Kim, Christy M.K. Cheung, H. Raghav Rao, Chao‐Min Chiu, Meng‐Hsiang Hsu, Anol Bhattacherjee, Salvatore T. March, Dursun Delen, Gerald F. Smith and Eric T.G. Wang.

In The Last Decade

Fields of papers published in Decision Support Systems

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Decision Support Systems. 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 Decision Support Systems.

Countries where authors publish in Decision Support Systems

Since Specialization
Citations

This map shows the geographic impact of research published in Decision Support Systems. 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 Decision Support Systems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Decision Support Systems 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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