TY - JOUR
T1 - Citation patterns in translation studies: A format-dependent bibliometric analysis
T2 - a format-dependent bibliometric analysis
AU - Rovira-Esteva, Sara
AU - Franco Aixela, Javier
AU - Olalla-Soler, Christian
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Citation distributions vary across the board among academic disciplines, which is the reason why field-oriented normalisation is necessary to compensate for this. In this vein, the aim of this study is three-fold. Firstly, to find out which document type is cited the most in translation studies ('IS). Secondly, to determine the time distribution for citations and aging patterns in TS scientific literature. Thirdly, to define a discipline weighted citation window or cited half-life, in order to establish the optimal citation window to be used in TS. Data enabling the present research will be retrieved from BFIRA, which includes over 70,000 items covering the diversity of document types and languages used in TS research for all times and the citing information of over 1000 of its entries. This database will thus allow us to carry out a study on citation and aging patterns in TS academic literature covering the 1960-2015 period. Both, global results, as well as a more detailed analysis focusing on different document types, will be provided. This bibliometric study aims to offer a discipline-focused approach in order to develop specific and realistic impact criteria for our discipline, while taking into account its actual research and communication practices.
AB - Citation distributions vary across the board among academic disciplines, which is the reason why field-oriented normalisation is necessary to compensate for this. In this vein, the aim of this study is three-fold. Firstly, to find out which document type is cited the most in translation studies ('IS). Secondly, to determine the time distribution for citations and aging patterns in TS scientific literature. Thirdly, to define a discipline weighted citation window or cited half-life, in order to establish the optimal citation window to be used in TS. Data enabling the present research will be retrieved from BFIRA, which includes over 70,000 items covering the diversity of document types and languages used in TS research for all times and the citing information of over 1000 of its entries. This database will thus allow us to carry out a study on citation and aging patterns in TS academic literature covering the 1960-2015 period. Both, global results, as well as a more detailed analysis focusing on different document types, will be provided. This bibliometric study aims to offer a discipline-focused approach in order to develop specific and realistic impact criteria for our discipline, while taking into account its actual research and communication practices.
KW - HUMANITIES
KW - bibliometrics
KW - citation patterns
KW - document type
KW - impact
KW - normalisation
KW - translation studies
U2 - 10.12807/ti.111201.2019.a09
DO - 10.12807/ti.111201.2019.a09
M3 - Article
SN - 1836-9324
VL - 11
SP - 147
EP - 171
JO - Translation & Interpreting
JF - Translation & Interpreting
IS - 1
ER -