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SciVal Metric: Geographical Collaboration Impact
Last updated on November 15, 2024
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Back to all metricsGeographical Collaboration Impact in SciVal indicates the citation impact of an entity’s publications with particular types of geographical collaboration: how many citations do this entity’s internationally, nationally, or institutionally co-authored publications receive, as well as those with a single author?
Publications are assigned to 1 of 4 mutually exclusive geographical collaboration types, as explained for geographical collaboration. This assignment applies to the entity’s publications only, and the count of citations received is not limited to the geographical collaboration status of the citing publications themselves; if an internationally collaborative publication is cited by another publication with single authorship, that citation is still counted.
This metric calculates the Citations per Publication for each type of geographical collaboration.
Geographical Collaboration Impact is a:
- Citation Impact metric
- Collaboration Metric
SciVal often displays Geographical Collaboration Impact in a chart or table with years. These years are always the years in which items were published, and do not refer to the years in which citations were received.
- Benchmark the average scholarly impact of an entity’s publications with particular types of geographical collaboration, such as:
- The citation impact of an entity’s internationally collaborative publications with that of its institutionally collaborative output.
- The citation impact of internationally collaborative publications compared to that of non-collaborative publications with a single author.
- Compare the collaborative citation impact of entities of different sizes, but in related disciplines
- Demonstrate any benefit from establishing and maintaining collaborations to the citation impact of an entity’s Scholarly Output
- Comparing entities in different disciplines where the citing behavior of academics may differ:
- Citation counts tend to be higher in disciplines such as virology, whose academics tend to publish frequently and include long reference lists, than in law, for example; these differences reflect the differences in the behavior of researchers in distinct subject fields, and not differences in performance.
- It is not advisable to use this metric to compare entities in distinct disciplines without taking these differences into account.
- When comparing entities made up of a mixture of disciplines, such as an Institution or Country, it is advised to apply the Subject Area filter to focus on one field that is common between all the entities.
- Understanding the citation impact of collaborative papers of small entities, when there may be gaps in their output within the Scopus coverage:
- A single missing publication from a small data set may significantly distort the apparent performance, whereas the buffering effect of a larger data set may compensate for 1 or 2 missing publications.
- The only way to account for this is to be vigilant, particularly when looking at small data sets such as the Scholarly Output of an early-career researcher. It is also advisable to limit the use of these metrics to comparing larger data sets in which potential gaps in the database coverage likely have a similar effect on all entities being viewed and will not invalidate the comparison.
- Entities are small so that the metric may fluctuate significantly and appear unstable over time, even when there is complete Scopus coverage:
- Geographical Collaboration Impact calculates an average value using the mean, and these types of calculations are strongly influenced by outlying publications in a small data set.
- Understanding the performance of publications in the very early stages of a new strategy, or of early-career researchers, where the short time that has passed since publication will reduce the reliability of citation information:
- These situations can be addressed by metrics that are complete immediately upon publication, such as Geographical Collaboration or Publications in Top Journal Percentiles.
- Citations per Publicationopens in new tab/window, which calculates the average citation impact across all publications within an entity regardless of their geographical collaboration status. This metric could be a useful benchmark against which to judge the extent of benefit of different types of geographical collaboration.
- Collaborationopens in new tab/window, which indicates the extent to which an entity’s publications have international, national, or institutional co-authorship, and single authorship. This is a logical partner metric to Collaboration.
- The set of “time-independent metrics”, which provide useful, reliable information immediately upon publication and do not rely on the passing of time for useful data to accumulate: Scholarly Output, Subject Area Count, Scopus Source Title Count, Collaboration, Academic-Corporate Collaboration, and Publications in Top Journal Percentiles.
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