Long-Run Implications of Investment-Specific Technological Change

879 indexed citations

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About

This paper, published in 1995, received 879 indexed citations. Written by Jeremy Greenwood, Zvi Hercowitz and Per Krusell covering the research area of General Economics, Econometrics and Finance and Economics and Econometrics. It is primarily cited by scholars working on Economics and Econometrics (792 citations), General Economics, Econometrics and Finance (427 citations) and Finance (139 citations). Published in American Economic Review.

In The Last Decade

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Countries where authors are citing Long-Run Implications of Investment-Specific Technological Change

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Citations

This map shows the geographic impact of Long-Run Implications of Investment-Specific Technological Change. 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 Long-Run Implications of Investment-Specific Technological Change with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long-Run Implications of Investment-Specific Technological Change more than expected).

Fields of papers citing Long-Run Implications of Investment-Specific Technological Change

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Long-Run Implications of Investment-Specific Technological Change. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Long-Run Implications of Investment-Specific Technological Change.

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/w3631321.

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