Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use

1.1k indexed citations

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This paper, published in 2010, received 1.1k indexed citations. Written by Michael Quinn Patton covering the research area of Computational Theory and Mathematics and Management Science and Operations Research. It is primarily cited by scholars working on Management Science and Operations Research (484 citations), General Health Professions (456 citations) and Sociology and Political Science (156 citations). Published in CERN Document Server (European Organization for Nuclear Research).

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This map shows the geographic impact of Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use. 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 Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use more than expected).

Fields of papers citing Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use.

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This paper is also available at doi.org/w69598170.

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