Collaboration in computational musicology

Pao, Miranda Lee

doi:10.1002/asi.4630330107

Cited by 45 publications

(18 citation statements)

References 7 publications

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“…Studies [PRICE & BEAVER, 1966;ZUCKERMAN, 1967;PAO, 1982;DUQUE & AL., 2005;LEE & BOZEMAN, 2005; have emphasised the close relationship between collaboration and publication. Because of the division of work (i.e.…”

Section: Introductionmentioning

confidence: 98%

Collaboration and publication: How collaborative are scientists in South Africa?

Sooryamoorthy

2009

Scientometrics

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Using bibliographic records from the Science Citation Index, the paper examines the publication of South African scientists. The analysis shows that collaboration research in South Africa has been growing steadily and the scientists are highly oriented towards collaborative rather than individualistic research. International collaboration is preferred to domestic collaboration while publication seems to be a decisive factor in collaboration. The paper also looks at the collaboration dimensions of partnering countries, sectors and disciplines, and examines how collaboration can be predicted by certain publication variables. Characteristic features are evident in both the degree and nature of collaboration which can be predicted by the number of countries involved, number of partners and the fractional count of papers.

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Section: Introductionmentioning

confidence: 98%

Collaboration and publication: How collaborative are scientists in South Africa?

Sooryamoorthy

2009

Scientometrics

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“…This interest originates from the problem raised in collaboration situations: does collaboration leads to a higher productivity (number of papers), cf. earlier studies [BEAVER & ROSEN, 1979;BORDONS & GÓMEZ, 2000;BORGMAN & FURNER, 2002;PAO, 1981;1982;1992;PRICE & BEAVER, 1966;SUBRAMANYAM, 1983;ZUCKERMAN, 1967;. Of course, as described above, we are in a position to study the general performance-productivity relation in general IPPs.…”

Section: Introductionmentioning

confidence: 90%

Performance and its relation with productivity in Lotkaian systems

Egghe

2009

Scientometrics

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In general information production processes (IPPs), we define productivity as the total number of sources but we present a choice of seven possible definitions of performance: the mean or median number of items per source, the fraction of sources with a certain minimum number of items, the h-, g-, R-and h w -index. We give an overview of the literature on different types of IPPs and each time we interpret "performance" in these concrete cases. Examples are found in informetrics (including webometrics and scientometrics), linguistics, econometrics and demography.In Lotkaian IPPs we study these interpretations of "performance" in function of the productivity in these IPPs. We show that the mean and median number of items per source as well as the fraction of sources with a certain minimum number of items are increasing functions of the productivity if and only if the Lotkaian exponent is decreasing in function of the productivity. We show that this property implies that the g-, R-and h w -indices are increasing functions of the productivity and, finally, we show that this property implies that the h-index is an increasing function of productivity. We conclude that the h-index is the indicator which shows best the increasing relation between productivity and performance.

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“…Pao goes on to prove that the global collaborators are much more productive than the local ones. On the other hand, Pao's earlier studies [5,6], for example one in Computational Musicology was found to be a bit inconclusive with respect to collaboration and production mainly due to the different sociological habits of the researchers in Humanities (as compared to those in Sciences). In the same vein, Bordons and Gómez [7] and Subramanyam [8] have commented on some of the above mentioned papers.…”

Section: Introductionmentioning

confidence: 93%