The calculation of Hirsch's h-index is a detail-ignoring way, therefore, single h-index could not reflect the difference of time spans for scientists to accumulate their papers and citations. In this study
the h-index sequence and the h-index matrix are constructed, which complement the absent details of single h-index, reveal different increasing manner and the increasing mechanism of the h-index, and make the scientists at different scientific age comparable.
The paper examines the qualitative as well as quantitative indicators for the assessment of the scientific publication activities of 32 countries, with special attention to the Zipf-Pareto distribution of those indicators. Also discussed is the linear relationship between the number of first authors of scientific papers in a given country and the number of papers it produced. Based on these discussions, a comprehensive indicator combining the merits of quantitative and qualitative indicators is suggested. The ranking of the 32 countries by this indicator is found to follow also Zipf-Pareto distribution.
During the period 1985–1995 Daniel Koshland was Editor-in-Chief of the journal Science. As such he exerted a huge influence on all aspects related to content and lay-out of the journal. This study compares Science’s bibliometric characteristics between three periods: a pre-Koshland (1975–1984) period, the Koshland period (1985–1995)
and the post-Koshland period (1996–2006). The distributions of document types, the country/territory and institutional distribution
of authors, co-authorship data and disciplinary impact measured by subject categories of citations are studied. These bibliometric
characteristics unveil some of the changes the journal went through under the leadership of Daniel Koshland.
On the basis of the measured frequency distribution of China"s inter-regional co-authored papers covered by the Chinese Science Citation Database, this paper shows the pattern of China"s inter-regional research collaboration (IRRC), and analyzes how the collaborative pattern was formed. A new method is used to calculate the expected value matrix based on an observed value matrix of IRRC, which is asymmetric and has no diagonal elements. The results fall into three groups. 1) Regional scientific productivity affects both the collaborative preference and ranking of authors" name; 2) geographical proximity is an important factor determining the pattern of IRRC; 3) when using Salton"s measure, regional mean collaborative strength increases as the regional productivity increases, and as the distance between two regions decreases.
Authors:Liming Liang, Lixin Chen, Yishan Wu, and Junpeng Yuan
In this paper the role of Chinese universities in enterprise–university research collaboration is investigated. This study focuses on a special aspect of the collaboration—co-authored articles. The two cases are analyzed: (1) research collaboration between Baosteel Group Corporation and Chinese universities; (2) research collaboration between China Petroleum & Chemical Corporation and Chinese universities. The co-authorship data over the period 1998–2007 were searched from CNKI database, the largest Chinese publication and citation database. The main findings are as follows: the number of articles co-authored by enterprise and university scientists has been increasing rapidly; the share of co-authored articles has been growing; the authors from universities are more possible to be the first authors; as a whole, enterprise–university co-authored articles tend to receive more citations and get downloaded more frequently; a mathematical orientation emerges in the enterprise–university articles. To reveal and describe such a trend the methods of keywords analysis and co-occurrence analysis are applied. The Chinese government's policy instruments and substantial supports for pushing and improving enterprise–university research collaboration are introduced and analyzed.
Authors:Hildrun Kretschmer, Liang Liming, and Ramesh Kundra
The collaboration model of Kretschmer was applied to the co-authorshipnetwork of Indian medicine with the aim of being able to observe changes instructure over
a period of 30 years. The idea of Liang, on her “Distributionof Major Scientific and Cultural Achievements in Terms of Age” was putin relation to the collaboration
model by Kretschmer.
Authors:Hildrun Kretschmer, Liang Liming, and Ramesh Kundra
The growing importance of collaboration in research and the still underdeveloped state-of-the-art of research on collaboration
have encouraged scientists from16 countries to establish a global interdisciplinary research network under the title “Collaboration
in Science and in Technology” (COLLNET)with Berlin as its virtual centre which has been set up on January 1st, 2000.The network
is to comprise the prominent scientists, who work at present mostly in the field of quantitative science studies. The intention
is to work together in co-operation both on theoretical and applied aspects.
Authors:Liming Liang, Yongzheng Guo, and Mari Davis
This paper is the continued study on age structure of scientific collaboration in Chinese computer science. Based on an extended
database a new method is used to analyze the nature and preference of collaboration. Observed values of two- three- and four-dimensional
collaboration were compared respectively with their expected values. Investigation covered co-authors" combination patterns,
name permutations in their papers, especially the age of the first author.
Authors:S. Sangam, Liang Liming, and Gireesh Ganjihal
The present paper describes the application of growth models as suggested by Egghe and Ravichadra Rao (Scientometrics 25:5–46,
1992). The scope of the paper is limited to study the growth and dynamics of Indian and Chinese publications in the field
of liquid crystals research (1997–2006).
Authors:Lin Zhang, Wolfgang Glänzel, and Liming Liang
This study aims at detecting the role of individual journals and uncovering structural patterns of information flow among
scientific journals in a cross-citation network, using different bibliometric indicators and statistical methods of data analysis.
Beyond measuring the individual journals’ position within the communication network, we shed light on their cognitive background
as well. Language barrier and lacking internationality proved one of the main hindrances for integration into the communication
network. Moreover, some document types hinder journals from establishing self-links. Against our expectations, we have found
a clear divergence between strongly interlinked and high-entropy journals. Furthermore, the analysis of strong links among
different fields allows the detection of high-interdisciplinary journals.