This paper analyses the following seven sub-fields of Sustainable Energy Research with respect to the influence of proceedings papers on citation patterns across citing and cited document types, overall sub-field and document type impacts and citedness: the Wind Power, Renewable Energy, Solar and Wave Energy, Geo-thermal, Bio-fuel and Bio-mass energy sub-fields. The analyses cover peer reviewed research and review articles as well as two kinds of proceeding papers from conferences published 2005–2009 in (a) book series or volumes and (b) special journal issues excluding meeting abstracts cited 2005–2011 through Web of Science. Central findings are: The distribution across document types of cited versus citing documents is highly asymmetric. Predominantly proceedings papers from both proceeding volumes as well as published in journals cite research articles (60–76 %). Largely, journal-based proceedings papers are cited rather than papers published in book series or volumes and have field impacts corresponding to research articles. With decreasing proceedings paper dominance in research fields the ratio of proceeding paper volumes over journal-based proceedings papers decreases significantly and the percentage of proceedings papers in journals citing journal-based proceedings papers over all publications citing journal-based proceedings papers decreases significantly (from 26.3 % in Wind Power to 4 % in Bio Fuel). Further, the segment of all kinds of proceedings papers (the combined proceedings paper types) citing all proceedings papers over all publications citing all kinds of proceedings papers decreases significantly (from 36.1 % in Wind Power to 11.3 % in Bio Fuel). Simultaneously the field citedness increases across the seven research fields. The distribution of citations from review articles shows that novel knowledge essentially derives directly from research articles (53–72 %)—to a much less extent from proceedings publications published in journals (9–13 %).
[1]
Jacques Wainer,et al.
Patterns of bibliographic references in the ACM published papers
,
2011,
Inf. Process. Manag..
[2]
Ying He,et al.
Contribution of Chinese publications in computer science: A case study on LNCS
,
2007,
Scientometrics.
[3]
Paul Bourke,et al.
Publication types, citation rates and evaluation
,
1996,
Scientometrics.
[4]
Peter Ingwersen,et al.
Influence of a performance indicator on Danish research production and citation impact 2000–12
,
2014,
Scientometrics.
[5]
Linda Butler,et al.
Extending citation analysis to non-source items
,
2006,
Scientometrics.
[6]
Birger Larsen,et al.
Renewable energy research 1995–2009: a case study of wind power research in EU, Spain, Germany and Denmark
,
2012,
Scientometrics.
[7]
Thed N. van Leeuwen,et al.
The Leiden ranking 2011/2012: Data collection, indicators, and interpretation
,
2012,
J. Assoc. Inf. Sci. Technol..
[8]
Nivio Ziviani,et al.
Assessing the quality of scientific conferences based on bibliographic citations
,
2010,
Scientometrics.
[9]
L. Butler,et al.
Evaluating University Research Performance Using Metrics
,
2011
.
[10]
Lutz Bornmann,et al.
Types of research output profiles: A multilevel latent class analysis of the Austrian Science Fund’s final project report data
,
2012
.