Citation Concept Analysis (CCA) of concepts introduced by Pierre Bourdieu: Measuring their impact across fields and periods

ABSTRACT Purpose Citations can be used in evaluative bibliometrics to measure the impact of papers. However, citation analysis can be extended by a multi-dimensional perspective on citation impact which is intended to receive more specific information about the kind of received impact. Design/methodology/approach Bornmann, Wray, and Haunschild (2019) introduced citation concept analysis (CCA) for capturing the importance and usefulness certain concepts have in subsequent research. The method is based on the analysis of citances – the contexts of citations in citing papers. This study applies the method by investigating the impact of various concepts introduced in the oeuvre of the world-leading French sociologist Pierre Bourdieu. Findings We found that the most cited concepts are ‘social capital’ (with about 34% of the citances in the citing papers), ‘cultural capital’, and ‘habitus’ (both with about 24%). On the other hand, the concepts ‘doxa’ and ‘reflexivity’ score only about 1% each. Research limitations The formulation of search terms for identifying the concepts in the data and the citation context coverage are the most important limitations of the study. Practical implications The results of this explorative study reflect the historical development of Bourdieu’s thought and its interface with different fields of study. Originality/value The study demonstrates the high explanatory power of the CCA method.

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Publication Details

Journal
Journal of Data and Information Science
Published
2025-01-27
DOI
https://doi.org/10.2478/jdis-2025-0009
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
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article

Citation Concept Analysis (CCA) of concepts introduced by Pierre Bourdieu: Measuring their impact across fields and periods

Robin Haunschild, Lutz Bornmann, Charles Crothers
Journal of Data and Information Science
scientometrics and bibliometrics research
article

Citation Concept Analysis (CCA) of concepts introduced by Pierre Bourdieu: Measuring their impact across fields and periods

Robin Haunschild, Lutz Bornmann, Charles Crothers
article en

Abstract

ABSTRACT Purpose Citations can be used in evaluative bibliometrics to measure the impact of papers. However, citation analysis can be extended by a multi-dimensional perspective on citation impact which is intended to receive more specific information about the kind of received impact. Design/methodology/approach Bornmann, Wray, and Haunschild (2019) introduced citation concept analysis (CCA) for capturing the importance and usefulness certain concepts have in subsequent research. The method is based on the analysis of citances – the contexts of citations in citing papers. This study applies the method by investigating the impact of various concepts introduced in the oeuvre of the world-leading French sociologist Pierre Bourdieu. Findings We found that the most cited concepts are ‘social capital’ (with about 34% of the citances in the citing papers), ‘cultural capital’, and ‘habitus’ (both with about 24%). On the other hand, the concepts ‘doxa’ and ‘reflexivity’ score only about 1% each. Research limitations The formulation of search terms for identifying the concepts in the data and the citation context coverage are the most important limitations of the study. Practical implications The results of this explorative study reflect the historical development of Bourdieu’s thought and its interface with different fields of study. Originality/value The study demonstrates the high explanatory power of the CCA method.

Journal of Data and Information ScienceVol. 10(1)
Max Planck Society (DE), Auckland University of Technology (NZ), Max Planck Innovation (DE), Max Planck Institute for Solid State Research (DE)
Openalex Percentile: Top 98%
scientometrics and bibliometrics research
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Citation Concept Analysis (CCA) of concepts introduced by Pierre Bourdieu: Measuring their impact across fields and periods — Robin Haunschild, Lutz Bornmann, et al. · Journal of Data and Information Science (2025) | TGRS Research Map | TGRS