Manufacturing flow line systems: a review of models and analytical results

569 indexed citations
published 1992

Countries where authors are citing Manufacturing flow line systems: a review of models and analytical results

Specialization
Citations

This map shows the geographic impact of Manufacturing flow line systems: a review of models and analytical results. 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 Manufacturing flow line systems: a review of models and analytical results with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manufacturing flow line systems: a review of models and analytical results more than expected).

Fields of papers citing Manufacturing flow line systems: a review of models and analytical results

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Manufacturing flow line systems: a review of models and analytical results. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Manufacturing flow line systems: a review of models and analytical results.

About Manufacturing flow line systems: a review of models and analytical results

This paper, published in 1992, received 569 indexed citations . Written by Yves Dallery and Stanley B. Gershwin covering the research area of Management Information Systems and Industrial and Manufacturing Engineering. It is primarily cited by scholars working on Management Information Systems (455 citations), Industrial and Manufacturing Engineering (424 citations) and Safety, Risk, Reliability and Quality (104 citations). Published in Queueing Systems.

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.

This paper is also available at doi.org/10.1007/bf01158636.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026