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Apples and oranges: the aggregation problem in publications analysis

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Apples and oranges: the aggregation problem in publications analysis. / Johnes, Jill; Johnes, Geraint.
In: Scientometrics, Vol. 25, No. 2, 1992, p. 353-365.

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Johnes J, Johnes G. Apples and oranges: the aggregation problem in publications analysis. Scientometrics. 1992;25(2):353-365. doi: 10.1007/BF02028091

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@article{ea5017168cea47c9936041f6703a5af5,
title = "Apples and oranges: the aggregation problem in publications analysis",
abstract = "A major difficulty with bibliometric measures of departmental research contributions based upon publications counts has concerned the summing of publications of different types. An attempt is made in this paper to bypass this aggregation problem by appeal to the methods of Data Envelopment Analysis (DEA). In this way we investigate the technical efficiency of UK university departments of economics as producers of research. The data set used is an extended version of the one which informed the recent Universities Funding Council peer review, and the results obtained here are compared with those obtained by the Council. We conclude that, although due caution is needed in the interpretation of results, DEA has a positive contribution to make in the development of meaningful indicators of university performance.",
author = "Jill Johnes and Geraint Johnes",
year = "1992",
doi = "10.1007/BF02028091",
language = "English",
volume = "25",
pages = "353--365",
journal = "Scientometrics",
issn = "0138-9130",
publisher = "Springer Netherlands",
number = "2",

}

RIS

TY - JOUR

T1 - Apples and oranges

T2 - the aggregation problem in publications analysis

AU - Johnes, Jill

AU - Johnes, Geraint

PY - 1992

Y1 - 1992

N2 - A major difficulty with bibliometric measures of departmental research contributions based upon publications counts has concerned the summing of publications of different types. An attempt is made in this paper to bypass this aggregation problem by appeal to the methods of Data Envelopment Analysis (DEA). In this way we investigate the technical efficiency of UK university departments of economics as producers of research. The data set used is an extended version of the one which informed the recent Universities Funding Council peer review, and the results obtained here are compared with those obtained by the Council. We conclude that, although due caution is needed in the interpretation of results, DEA has a positive contribution to make in the development of meaningful indicators of university performance.

AB - A major difficulty with bibliometric measures of departmental research contributions based upon publications counts has concerned the summing of publications of different types. An attempt is made in this paper to bypass this aggregation problem by appeal to the methods of Data Envelopment Analysis (DEA). In this way we investigate the technical efficiency of UK university departments of economics as producers of research. The data set used is an extended version of the one which informed the recent Universities Funding Council peer review, and the results obtained here are compared with those obtained by the Council. We conclude that, although due caution is needed in the interpretation of results, DEA has a positive contribution to make in the development of meaningful indicators of university performance.

U2 - 10.1007/BF02028091

DO - 10.1007/BF02028091

M3 - Journal article

VL - 25

SP - 353

EP - 365

JO - Scientometrics

JF - Scientometrics

SN - 0138-9130

IS - 2

ER -