Journal of Management Analytics

259 papers and 4.4k indexed citations i.

About

The 259 papers published in Journal of Management Analytics in the last decades have received a total of 4.4k indexed citations. Papers published in Journal of Management Analytics usually cover Management Information Systems (102 papers), Strategy and Management (75 papers) and Management Science and Operations Research (62 papers) specifically the topics of Supply Chain and Inventory Management (60 papers), Sustainable Supply Chain Management (52 papers) and Big Data and Business Intelligence (25 papers). The most active scholars publishing in Journal of Management Analytics are Yang Lu, Chee‐Wee Tan, Zhuming Bi, Hong Chen, Yakup Çelikbilek, Fatih Tüysüz, Lian Duan, Yong Chen, Ling Li and David S. Cochran.

In The Last Decade

Fields of papers published in Journal of Management Analytics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Management Analytics. 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 Management Analytics.

Countries where authors publish in Journal of Management Analytics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Management Analytics. 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 Management Analytics 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 Management Analytics 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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