Bibliometric approach towards mapping the dynamics of science and technology

2004 ◽  
Vol 24 (1) ◽  
pp. 3-8 ◽  
Author(s):  
B.M. Gupta ◽  
Sujit Bhattacharya
Keyword(s):  
Science And Technology ◽  
Bibliometric Approach ◽  
Dynamics Of Science

The Dynamics of Science and Technology: Social Values, Technical Norms and Scientific Criteria in the Development of Knowledge

1980 ◽  
Vol 31 (3) ◽  
pp. 449 ◽  
Author(s):  
David Edge ◽  
Wolfgang Krohn ◽  
Edwin T. Layton ◽  
Peter Weingart
Keyword(s):  
Social Values ◽  
Science And Technology ◽  
Dynamics Of Science

Mapping the Dynamics of Science and Technology: Sociology of Science in the Real World.

1988 ◽  
Vol 17 (6) ◽  
pp. 815 ◽  
Author(s):  
Susan E. Cozzens ◽  
Michel Callon ◽  
John Law ◽  
Arie Rip
Keyword(s):  
Real World ◽  
Science And Technology ◽  
Sociology Of Science ◽  
The Real ◽  
Dynamics Of Science

Mapping the dynamics of science and technology

1988 ◽  
Vol 14 (1-2) ◽  
pp. 165-168 ◽  
Author(s):  
H. Small
Keyword(s):  
Science And Technology ◽  
Dynamics Of Science

scholarly journals TeamTree analysis: A new approach to evaluate scientific production

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253847
Author(s):  
Frank W. Pfrieger
Keyword(s):  
Scientific Literature ◽  
Science And Technology ◽  
Scientific Production ◽  
Economic Resource ◽  
New Approach ◽  
H Index ◽  
Research Teams ◽  
Independent Measure ◽  
Publication Record ◽  
Bibliometric Approach

Advances in science and technology depend on the work of research teams and the publication of results through peer-reviewed articles representing a growing socio-economic resource. Current methods to mine the scientific literature regarding a field of interest focus on content, but the workforce credited by authorship remains largely unexplored. Notably, appropriate measures of scientific production are debated. Here, a new bibliometric approach named TeamTree analysis is introduced that visualizes the development and composition of the workforce driving a field. A new citation-independent measure that scales with the H index estimates impact based on publication record, genealogical ties and collaborative connections. This author-centered approach complements existing tools to mine the scientific literature and to evaluate research across disciplines.

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