Decision Science Letters

635 papers and 4.4k indexed citations i.

About

The 635 papers published in Decision Science Letters in the last decades have received a total of 4.4k indexed citations. Papers published in Decision Science Letters usually cover Management Science and Operations Research (139 papers), Industrial and Manufacturing Engineering (98 papers) and Strategy and Management (89 papers) specifically the topics of Multi-Criteria Decision Making (79 papers), Sustainable Supply Chain Management (34 papers) and Advanced Manufacturing and Logistics Optimization (34 papers). The most active scholars publishing in Decision Science Letters are R. Venkata Rao, Shankar Chakraborty, Prasenjit Chatterjee, Nejah Ben Mabrouk, Seyed Jafar Sadjadi, Sukanta Nama, Apu Kumar Saha, Amlana Panda, Ashok Kumar Sahoo and Arun Kumar Rout.

In The Last Decade

Fields of papers published in Decision Science Letters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Decision Science Letters. 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 Science Letters.

Countries where authors publish in Decision Science Letters

Since Specialization
Citations

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