Mapping Research Fields Using Co-Nomination Analysis: the Case of Heavy Flavour Physics
| Main Authors: | Karaulova, Maria, Nedeva, Maria, Thomas, Duncan |
|---|---|
| Format: | info Proceeding |
| Bahasa: | bzj |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1283492 |
| ctrlnum |
1283492 |
|---|---|
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Karaulova, Maria</creator><creator>Nedeva, Maria</creator><creator>Thomas, Duncan</creator><date>2018-06-06</date><description>We study how differing social and intellectual organisation of research fields (Nedeva, 2013) affect research processes and performance. Citations are most often used as a proxy of intellectual influence, yet underperform in research fields with unconventional publishing or citing behaviours. We address this challenge using an indicative example of heavy flavour physics (HFP), a research field in particle physics organised around very large, frequently publishing collaborations with stable groupings of hundreds of alphabetically listed authors. The apparent intellectual contribution or influence of assumed authorship order would be affected significantly if bibliometrics were used to study HFP (Birnholtz, 2006; Manganote et al., 2016). Instead we re-purpose a form of co-nomination analysis, and snowball sampling, previously used to map expert networks in foresight, R&D evaluation and innovation studies (Fagerberg and Verspagen, 2009; Nedeva et al., 1996). Our results allow us to study attribution of intellectual influence at the individual level for a sizeable case, the global HFP knowledge network.
In the presentation, we juxtapose co-nomination based mapping with author co-citation based mapping of the field and reflect about advantages and challenges of using co-nomination approach</description><identifier>https://zenodo.org/record/1283492</identifier><identifier>10.5281/zenodo.1283492</identifier><identifier>oai:zenodo.org:1283492</identifier><language>bzj</language><relation>doi:10.5281/zenodo.1283491</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>research fielld</subject><subject>science mapping</subject><subject>heavy flavour physics</subject><subject>co-nomination</subject><title>Mapping Research Fields Using Co-Nomination Analysis: the Case of Heavy Flavour Physics</title><type>Other:info:eu-repo/semantics/lecture</type><type>Journal:Proceeding</type><recordID>1283492</recordID></dc>
|
| language |
bzj |
| format |
Other:info:eu-repo/semantics/lecture Other Journal:Proceeding Journal |
| author |
Karaulova, Maria Nedeva, Maria Thomas, Duncan |
| title |
Mapping Research Fields Using Co-Nomination Analysis: the Case of Heavy Flavour Physics |
| publishDate |
2018 |
| topic |
research fielld science mapping heavy flavour physics co-nomination |
| url |
https://zenodo.org/record/1283492 |
| contents |
We study how differing social and intellectual organisation of research fields (Nedeva, 2013) affect research processes and performance. Citations are most often used as a proxy of intellectual influence, yet underperform in research fields with unconventional publishing or citing behaviours. We address this challenge using an indicative example of heavy flavour physics (HFP), a research field in particle physics organised around very large, frequently publishing collaborations with stable groupings of hundreds of alphabetically listed authors. The apparent intellectual contribution or influence of assumed authorship order would be affected significantly if bibliometrics were used to study HFP (Birnholtz, 2006; Manganote et al., 2016). Instead we re-purpose a form of co-nomination analysis, and snowball sampling, previously used to map expert networks in foresight, R&D evaluation and innovation studies (Fagerberg and Verspagen, 2009; Nedeva et al., 1996). Our results allow us to study attribution of intellectual influence at the individual level for a sizeable case, the global HFP knowledge network.
In the presentation, we juxtapose co-nomination based mapping with author co-citation based mapping of the field and reflect about advantages and challenges of using co-nomination approach |
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