The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance

662 indexed citations

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This paper, published in 2000, received 662 indexed citations. Written by Peter S. Pande, Roland R. Cavanagh and Robert P. Neuman covering the research area of . It is primarily cited by scholars working on Management Information Systems (415 citations), Strategy and Management (289 citations) and Management Science and Operations Research (132 citations). Published in .

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Countries where authors are citing The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance

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This map shows the geographic impact of The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance. 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 The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance more than expected).

Fields of papers citing The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance.

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/w80595012.

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