Standardizing formats of corporate source data

This paper describe an approach for improving the data quality of corporate sources when databases are used for bibliometric purposes. Research management relies on bibliographic databases and citation index systems as analytical tools, yet the raw resources for bibliometric studies are plagued by a lack of consistency in fied formatting for institution data. The present contribution puts forth a Natural Language Processing (NLP)-oriented method for the identification of the structures guiding corporate data and their mapping into a standardized format. The proposed unification process is based on the definition of address patterns and the ensuing application of Enhanced Finite-State Transducers (E-FST). Our procedure was tested on address formats downloaded from the INSPEC, MEDLINE and CAB Abstracts. The results demonstrate the helpfulness of the method as long as close control of errors is exercised as far as the formats to be unified. The computational efficacy of the model is noteworthy, due to the fact that it is firmly guided by the definition of data in the application domain.     

An overview of Mike Moravcsik's publication activity in physics

A bibliometric online technique is applied on data from the INSPEC bibliographic file to describe some aspects of Moravcsik's publication activity (co-authorship, source journals, etc.). Separately, a co-occurrence method is used to represent the subject structure (the main topics and their links) of his papers in physics. The principle underlying this method is to develop a network based on common appearances of classification subdivisions (headings) as well as of controlled terms in Moravcsik's document records. The results, in the form of line and point graphs, give a global picture of Mike Moravcsik's research profile in physics.Dedicated to the memory of Michael J. Moravcsik     

The cognitive structure of current cardiovascular research

This paper presents a citation analysis of the cognitive structure of current cardiovascularresearch. Used methods are co-citation analysis, bibliographic coupling and quantitative analysisof title words. Tables and graphs reveal: (1) The journal co-citation structure; (2) the cognitivecontent and the bibliometric structure of clusters based on co-citation; (3) the cognitive contentand the bibliometric structure of clusters based on bibliographic coupling. A predominance ofdifferent research aspects on coronary artery disease was found in clusters based on co-citations aswell as in clusters based on bibliographic coupling.     

Mining citation information from CiteSeer data

The CiteSeer digital library is a useful source of bibliographic information. It allows for retrieving citations, co-authorships, addresses, and affiliations of authors and publications. In spite of this, it has been relatively rarely used for automated citation analyses. This article describes our findings after extensively mining from the CiteSeer data. We explored citations between authors and determined rankings of influential scientists using various evaluation methods including citation and in-degree counts, HITS, PageRank, and its variations based on both the citation and collaboration graphs. We compare the resulting rankings with lists of computer science award winners and find out that award recipients are almost always ranked high. We conclude that CiteSeer is a valuable, yet not fully appreciated, repository of citation data and is appropriate for testing novel bibliometric methods.     

A bibliometric study of research activity in ASEAN related to the EU in FP7 priority areas

Two relevant recent developments in the area of science and technology (S&T) and related policy-making motivate this article: first, bibliometric data on a specific research area’s performance becomes an increasingly relevant source for S&T policy-making and evaluation. This trend is embedded in wider discussions on evidence-based policy-making. Secondly, the scientific output of Southeast Asian countries is rising, as is the number of international research collaborations with the second area of our interest: Europe. Against this background, we employ basic bibliometric methodology in order to draw a picture of Southeast Asian research strengths as well the amount and focus of S&T cooperation between the countries in Southeast Asia and the European Union. The results can prove useful for an interested public as well as for the scientific community and science, technology and innovation policy-making.     

Which role do non-source items play in the social sciences? A case study in political science in Germany

Publications that are not indexed by citation indices such as Web of Science (WoS) or Scopus are called “non-source items”. These have so far been neglected by most bibliometric analyses. The central issue of this study is to investigate the characteristics of non-source items and the effect of their inclusion in bibliometric evaluations in the social sciences, specifically German political science publications. The results of this study show that non-source items significantly increase the number of publications (+1,350 %) and to a lesser extent the number of citations from SCIE, SSCI, and A&HCI (+150 %) for evaluated political scientists. 42 % of non-source items are published as book chapters. Edited books and books are cited the most among non-source items. About 40 % of non-source items are in English, while 80 % of source items are in English. The citation rates of researchers taking non-source items into account are lower than those from source items, partially as a result of the limited coverage of WoS. In contrast, the H-indices of researchers taking only non-source items into account are higher than those from source items. In short, the results of this study show that non-source items should be included in bibliometric evaluations, regardless of their impact or the citations from them. The demand for a more comprehensive coverage of bibliometric database in the social sciences for a higher quality of evaluations is shown.     

Analysis of publication patterns in Korean library and information science research

This study assessed research patterns and trends of library and information science (LIS) in Korea by applying bibliometric analysis to 159 Korean LIS professors?? 2,401 peer-reviewed publications published between 2001 and 2010. Bibliometric analysis of publication data found an increasing trend for collaboration, robust publication patterns, increasing number of international publications, and internationalization of LIS in Korea. The maturation and internalization of LIS research was evidenced in increased number of publications in high impact journals (e.g., SSI, SSCI), growing participation in leading international conferences (e.g., ASIST, TREC), increasing proportion of Korean LIS faculty with international degrees, and high publication rates by professors with international degrees. Though limited in its evaluative power without citation data, publication data can be a rich source for bibliometric analysis as this study has shown. The analysis of publication patterns conducted by the study, which is a first step in our aim to establish a multi-faceted approach for assessing the impact of scholarly work, will be followed up in a future study, where the question of quantity versus quality will be examined by comparing publication counts with citation counts.     

Bibliometric evaluation of agricultural literature published in Malaysia

A bibliometric analysis of agricultural literature published in Malaysia between 1981–1990 was undertaken. The analysis shed light on the key journals that published agricultural literature; on the forms of publications which are resorted to in the communication of research results; on the subject areas which are well written on and those that have been neglected; on the nature of contributions made by Malaysian authors; on the publishing practice of corporate bodies and on the number of publications produced each year.     

Structural and longitudinal analysis of the knowledge base on spin-off research

Following the dynamism in spin-off research, in this study we conduct a structural and longitudinal bibliometric analysis of a sample of 812 articles on spin-offs published in 234 journals included in the ISI Web of Knowledge over a period of three decades. The analyses do not seek to establish a new conceptualization but rather to reveal the intellectual structure of the field and how it has evolved, and the profile of the knowledge network established in the three perspectives: corporate, academic and entrepreneurial spin-offs. The diversity involved in the three streams of spin-off research signals substantial differences. Theoretically, transaction costs, agency and the resource-based view have remained a foundation of spin-off research, albeit that research has been driven more by the phenomena than by developing the theory. The more traditional focus on corporate spin-offs was followed by emphasis on academic spin-offs and more recently on entrepreneurial spin-offs. This shift has been accompanied by a more business/management theoretical orientation, replacing a more financial and taxation-based perspective underlying corporate spin-offs. This study systematizes the existing stock of knowledge and raises avenues for additional inquiry.     

Using a bibliometric approach to support research policy making: The case of the Flemish BOF-key

In this paper, we describe the development of a methodology and an instrument to support a major research funding allocation decision by the Flemish government. Over the last decade, and in parallel with the decentralization and the devolution of the Belgian federal policy authority towards the various regions and communities in the country, science and technology policy have become a major component of regional policy making. In the Flemish region, there has been an increasing focus on basing the funding allocation decisions that originate from this policy decentralization on “objective, quantifiable and repeatable” decision parameters. One of the data sources and indicator bases that have received ample attention in this evolution is the use of bibliometric data and indicators. This has now led to the creation of a dedicated research and policy support staff, called “Steunpunt O&O Statistieken,” and the first time application of bibliometric data and methods to support a major inter-university funding allocation decision. In this paper, we analyze this evolution. We show how bibliometric data have for the first time been used to allocate 93 million Euro of public research money between 6 Flemish universities for the fiscal year 2003, based on Web-of-Science SCI data provided to “Steunpunt O&O Statistieken” via a license agreement with Thomson-ISI. We also discuss the limitations of the current approach that was based on inter-university publication and citation counts. We provide insights into future adaptations that might make it more representative of the total research activity at the universities involved (e.g., by including data for the humanities) and of its visibility (e.g., by including impact measures). Finally, based on our current experience and interactions with the universities involved, we speculate on the future of the specific bibliometric approach that has now been adopted. More specifically, we hypothesize that the allocation method now developed and under further improvement will become more criticized if it turns out that it (1) also starts influencing intra-university research allocation decisions and, as a consequence (2) introduces adverse publication and citation behaviors at the universities involved. This revised version was published online in June 2006 with corrections to the Cover Date.     

The application of bibliometric analysis: disciplinary and user aspects

Bibliometric analysis has been used increasingly as a tool within the scientific community. Interplay is vital between those involved in refining bibliometric methods and the recipients of this type of analysis. Production as well as citations patterns reflect working methodologies in different disciplines within the specialized Library and Information Science (LIS) field, as well as in the non-specialist (non-LIS) professional field. We extract the literature on bibliometric analyses from Web of Science in all fields of science and analyze clustering of co-occurring keywords at an aggregate level. It reveals areas of interconnected literature with different impact on the LIS and the non-LIS community.We classify and categorize bibliometric articles that obtain the most citations in accordance with a modified version of Derrick’s, Jonker’s and Lewison’s method (Derrick et al. in Proceedings, 17th international conference on science and technology indicators. STI, Montreal, 2012). The data demonstrates that cross-referencing between the LIS and the non-LIS field is modest in publications outside their main categories of interest, i.e. discussions of various bibliometric issues or strict analyses of various topics. We identify some fields as less well-covered bibliometrically.     

劝导设计的研究热点与发展趋势

目的 使用文献计量学对近二十年的劝导设计研究进行可视化分析,旨在探索劝导设计的当前研究现状与未来发展趋势,为我国的劝导设计研究起到参考与启示性作用。方法 以Web of Science核心合集数据库作为数据来源,用R bibliometrix和VOSviewer文献计量工具生成科学知识图谱,R bibliometrix包用于对文献年发表量、国家、机构、作者、期刊进行定量分析,VOSviewer用于构建文献共被引、     

The <Emphasis Type="Italic">j</Emphasis>-index: a new bibliometric index and multivariate comparisons between other common indices

A new bibliometric index is proposed, trying to preserve the advantages of the h-index and to overcome its disadvantages. Multivariate comparisons among 18 bibliometric indices are performed by using Hasse Diagram Technique (HDT) and Principal Component Analysis (PCA). The comparisons were performed on some artificial data sets, three of them well known in literature. The obtained results seems to highlight some interesting properties of the new index and also reveals some relevant relationships among the considered bibliometric indices.     

Influence of database mistakes on journal citation analysis: remarks on the paper by Franceschini and Maisano,QREI (2010)

This short note contains some remarks on a recent bibliometric survey about some of the major scientific journals in the field of Quality Engineering/Management (Qual. Reliab. Engng. Int. 2010; 26 (6):593–604). In particular, thanks to Professor Woodall's precious indication, it has been freshly noticed that some results in the original work are biased by mistakes in the bibliometric databases (in this case Google Scholar). After a careful examination and correction of biased data, a synthetic analysis of the typical mistakes of bibliometric databases is presented, focussing the attention on the importance of using robust bibliometric indicators. Copyright © 2010 John Wiley & Sons, Ltd.     

Measuring impact by a full option method and the notion of bibliometric spectra

A full option method for determining impact takes into account citations to all cited publications, instead of limiting the analysis to ISI-publications only, as usually done in the standard method. The method was tested for the 258 early Ghent professors, teaching in 6 different faculties. The impact of monographs is, in general, much larger than the impact of articles (whether of ISI-type or not). This result remains valid for all six faculties separately. Limiting the bibliometric visibility to ISI-publications reduces the number of citations to only 16%. Bibliometric spectra are presented, in which citations, cited publications and their impact are shown in function of the year of publication. The number of cited publications is always important to expose the influence of activity (production) upon bibliometric scores. For the faculty of Arts, the citations to early professors are compared with those obtained for the presentday generation: the bibliometric spectrum for the former group is rather discontinuous (showing a large erosion in the number of citations by year), whereas that of the latter is continuous. The Ghent citation data are also compared with those given internationally in the same period.     

Blockmodeling of co-authorship networks in library and information science in Argentina: a case study

The paper introduces the use of blockmodeling in the micro-level study of the internal structure of co-authorship networks over time. Variations in scientific productivity and researcher or research group visibility were determined by observing authors?? role in the core-periphery structure and crossing this information with bibliometric data. Three techniques were applied to represent the structure of collaborative science: (1) the blockmodeling; (2) the Kamada-Kawai algorithm based on the similarities in co-authorships present in the documents analysed; (3) bibliometrics to determine output volume, impact and degree of collaboration from the bibliographic data drawn from publications. The goal was to determine the extent to which the use of these two complementary approaches, in conjunction with bibliometric data, provides greater insight into the structure and characteristics of a given field of scientific endeavour. The paper describes certain features of Pajek software and how it can be used to study research group composition, structure and dynamics. The approach combines bibliometric and social network analysis to explore scientific collaboration networks and monitor individual and group careers from new perspectives. Its application on a small-scale case study is intended as an example and can be used in other disciplines. It may be very useful for the appraisal of scientific developments.     

Coverage of highly-cited documents in Google Scholar,Web of Science,and Scopus: a multidisciplinary comparison

Scientometrics - This study explores the extent to which bibliometric indicators based on counts of highly-cited documents could be affected by the choice of data source. The initial hypothesis is...     

Statistical process control via context modeling of finite-state processes: an application to production monitoring

Conventional Statistical Process Control (SPC) schemes fail to monitor nonlinear and finite-state processes that often result from feedback-controlled processes. SPC methods that are designed to monitor autocorrelated processes usually assume a known model (often an ARIMA) that might poorly describe the real process. In this paper, we present a novel SPC methodology based on context modeling of finite-state processes. The method utilizes a series of context-tree models to estimate the conditional distribution of the process output given the context of previous observations. The Kullback-Leibler divergence statistic is derived to indicate significant changes in the trees along the process. The method is implemented in a simulated flexible manufacturing system in order to detect significant changes in its production mix ratio output.     

基于文献计量学的情感化设计研究进展、热点与趋势分析

目的 系统认识国际范围内情感化设计研究的全局特征,把握当前情感化设计的研究热点及理论基础,并根据当前研究热点探究未来发展新趋势。方法 以Web of Science收录的情感化设计相关文献作为数据源,以科学文献计量的方法综合运用VOSviewer和CiteSpace从文献的年份产出分布、国家、研究机构、作者、参考文献共被引情况和关键词聚类等方面绘制科学知识图谱,进行可视化分析以梳理研究脉络。结论 结果表明检索范围内文献数量整体呈上升趋势,中美等国处于研究的领先地位,研究热点主要集中在情感计算、感性工学、人机多通道交互、用户体验和设计评估等方面。研究现状较为成熟,形成了以三层次理论、感性工学和情感计算为主的理论体系。用户个性化、差异化情绪的识别与表达成为未来发展的新趋势。研究机构与作者合作不紧密,以及高产量作者不多是现阶段研究的主要局限。     

An empirical approach to compare the performance of heterogeneous academic fields

In this paper, we propose a ‘scaling’ approach to compare the scientific performance of Italian heterogeneous academic disciplines. This method is based on the idea that, after eliminating the percentages of ‘silent’ researchers, the distribution of bibliometric parameters of the different academic fields can be superimposed and collapse into a unique master curve by a single scaling parameter. By using data on the scientific production of around 2,500 scholars of the university of Rome ‘La Sapienza’ from the Web of Science from 2004 to 2008, we (i) demonstrate the existence of a master curve, (ii) determine the scaling factors that work like rates of substitution to compare the scientific production across different academic fields on a common ground, (iii) show that the master bibliometric distribution follows a log-normal law and (iv) illustrate the relevance of the proposed approach for research assessment and allocation of competitive funding at the university level.