A bibliometric analysis of hydrogen energy literature, 1965–2005

Tsay, Ming‐Yueh

doi:10.1007/s11192-007-1785-x

Cited by 90 publications

(54 citation statements)

References 6 publications

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“…In addition, the trend of increasing multi-authorship is a well-established phenomenon observed on the international level (e.g., Sampson 1995;Bird 1997;Gokceoglu et al 2008). Our findings are in a good accordance with the findings of Abt (2007) and Tsay (2008). In the landslide literature, the most productive authors with their impacts are given in Table 3.…”

Section: Introductionsupporting

confidence: 91%

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A statistical assessment on international landslide literature (1945–2008)

Gökçeoğlu

Sezer

2009

Landslides

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Section: Introductionsupporting

confidence: 91%

“…In fact, as the other scientific research areas (e.g. hydrogen energy researches (Tsay 2008)), this shows the importance of team works and multidisciplinary studies. According to Abt (2007), the science fields have evolved rapidly into team efforts in which the average number of authors per paper is increasing rapidly.…”

Section: Introductionmentioning

confidence: 98%

A statistical assessment on international landslide literature (1945–2008)

Gökçeoğlu

Sezer

2009

Landslides

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“…However, there is hardly any study on the progression of science in the renewable energy field. Tsay (2008) traces the evolution of hydrogen energy literature worldwide. Aside from a few exceptions covering national and international collaboration patterns in the fuel cell technology in Norway (Godo et al 2003), and co-authorship networks in the area of nanostructured solar cells using bibliometric and social network analysis (Larsen 2008), there is much more insight to be gained from examining different types of collaborations in the field of renewable energy technologies, in particular solar energy technologies.…”

Section: Novelty and Motivationmentioning

confidence: 99%

Measuring Innovation Using Bibliometric Techniques: The Case of Solar Photovoltaic Industry

Vidican

Woon²,

Madnick

2009

SSRN Journal

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In this paper, we use feature extraction and data analysis techniques for the elucidation of patterns and trends in technological innovation. In studying innovation, we focus on the role of public research institutions (research universities and national laboratories) in the development of new industries. More specifically, we are interested in measuring innovation through research collaborations between these institutions and the private sector.The proposed methods are primarily drawn from the field of bibliometrics -i.e. the analysis of information and trends in the publication of text documents, rather than the contents of these documents. In particular, we seek to explore the relationship between joint publication patterns and trends, R&D funding, technology development choices, and the viability and effectiveness of industry-university collaborations.To focus the discussions and to provide concrete examples of their applicability, this study will have an initial emphasis on the solar photovoltaic (PV) sector in the U.S., though the techniques and general approach devised here will be applicable to a broad range of industries, situations, and locations.Our analysis suggests that interesting information and conclusions can be derived from this line of analysis. The results obtained using our data extraction techniques allow us to identify early technology focus in different areas within solar PV technologies, and to determine potential technology pathways, which is critical for innovation policy in the renewable energy domain.2

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“…It has been employed to evaluate various researches, for example biology (Sainte-Marie 2010), desalination research (Tanaka & Ho, 2011), solid waste research (Fu et al, 2010), acupuncture research (Han & Ho, 2011), and global climate change . In exited bibliometric analyses, the analyzed aspects usually covering languages (Alfaraz & Calvino, 2004;Chiu & Ho, 2007;Ferrara, 2011), annual publication outputs (Chiu & Ho, 2007;Tsay, 2008), journals (Schubert et al, 1989;Tsay, 2008), categories (Moed et al, 1995;Yamazaki, 1994), and contributing countries and institutions (Schubert et al, 1989;Chiu & Ho, 2007;Tanaka & Ho, 2011;Li et al, 2011). In recent years, author keywords which could provide a reasonably detailed picture of the article's subject (Garfield, 1990), have been quantitatively analyzed to figure out the research emphases and trends (Chiu & Ho, 2007;Fu et al, 2010;Li et al, 2011).…”

Section: Introductionmentioning

confidence: 99%