Show simple item record

dc.contributor.authorMendoza, Marcelo
dc.contributor.authorHidalgo, César A.
dc.contributor.authorGuevara Albornoz, Miguel R
dc.contributor.authorHartmann, Dominik Hartmann
dc.contributor.authorAristaran, Manuel
dc.date.accessioned2016-12-08T23:47:20Z
dc.date.available2017-07-02T05:00:03Z
dc.date.issued2016-09
dc.date.submitted2016-04
dc.identifier.issn0138-9130
dc.identifier.issn1588-2861
dc.identifier.urihttp://hdl.handle.net/1721.1/105764
dc.description.abstractIn recent years scholars have built maps of science by connecting the academic fields that cite each other, are cited together, or that cite a similar literature. But since scholars cannot always publish in the fields they cite, or that cite them, these science maps are only rough proxies for the potential of a scholar, organization, or country, to enter a new academic field. Here we use a large dataset of scholarly publications disambiguated at the individual level to create a map of science—or research space—where links connect pairs of fields based on the probability that an individual has published in both of them. We find that the research space is a significantly more accurate predictor of the fields that individuals and organizations will enter in the future than citation based science maps. At the country level, however, the research space and citations based science maps are equally accurate. These findings show that data on career trajectories—the set of fields that individuals have previously published in—provide more accurate predictors of future research output for more focalized units—such as individuals or organizations—than citation based science maps.en_US
dc.description.sponsorshipMIT Media Lab Consortiumen_US
dc.description.sponsorshipMIT-Chile Seed Funden_US
dc.description.sponsorshipUniversidad de Playa Ancha (Grant ING01-1516)en_US
dc.description.sponsorshipMarie Curie International Fellowshipen_US
dc.description.sponsorshipUniversidad Técnica Federico Santa Maríaen_US
dc.publisherSpringer Netherlandsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11192-016-2125-9en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer Netherlandsen_US
dc.titleThe research space: using career paths to predict the evolution of the research output of individuals, institutions, and nationsen_US
dc.typeArticleen_US
dc.identifier.citationGuevara, Miguel R. et al. “The Research Space: Using Career Paths to Predict the Evolution of the Research Output of Individuals, Institutions, and Nations.” Scientometrics 109.3 (2016): 1695–1709.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.contributor.mitauthorGuevara Albornoz, Miguel R
dc.contributor.mitauthorHartmann, Dominik Hartmann
dc.contributor.mitauthorAristaran, Manuel
dc.relation.journalScientometricsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2016-11-26T05:45:41Z
dc.language.rfc3066en
dc.rights.holderAkadémiai Kiadó, Budapest, Hungary
dspace.orderedauthorsGuevara, Miguel R.; Hartmann, Dominik; Aristaran, Manuel; Mendoza, Marcelo; Hidalgo, Cesar A.en_US
dspace.embargo.termsNen
dc.identifier.orcidhttps://orcid.org/0000-0002-9627-2101
mit.licenseOPEN_ACCESS_POLICYen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record