Journal of Industrial and Management Optimization

2.0k papers and 12.7k indexed citations i.

About

The 2.0k papers published in Journal of Industrial and Management Optimization in the last decades have received a total of 12.7k indexed citations. Papers published in Journal of Industrial and Management Optimization usually cover Management Information Systems (476 papers), Computational Theory and Mathematics (462 papers) and Management Science and Operations Research (429 papers) specifically the topics of Supply Chain and Inventory Management (359 papers), Optimization and Variational Analysis (335 papers) and Advanced Optimization Algorithms Research (310 papers). The most active scholars publishing in Journal of Industrial and Management Optimization are Harish Garg, Kok Lay Teo, Zuo‐Jun Max Shen, Gerhard‐Wilhelm Weber, Ryan Loxton, Song Wang, David Yang Gao, Qun Lin, Sankar Kumar Roy and Biswajit Sarkar.

In The Last Decade

Fields of papers published in Journal of Industrial and Management Optimization

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Industrial and Management Optimization. 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 Industrial and Management Optimization.

Countries where authors publish in Journal of Industrial and Management Optimization

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Industrial and Management Optimization. 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 Industrial and Management Optimization 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 Industrial and Management Optimization 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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