Personal Research Database



Download 6.47 Mb.
Page109/275
Date02.05.2018
Size6.47 Mb.
#47265
1   ...   105   106   107   108   109   110   111   112   ...   275
65 (2), 189-197.

Full Text: 2005\Scientometrics65, 189.pdf

Abstract: This paper identifies and presents some characteristics of the psychology journals included in each of the Journal Citation Reports (JCR) categories in 2002. The study shows that most of the journals belong to the categories of Multidisciplinary Psychology (102) and Clinical Psychology (83). Their ranking is seen to vary depending on the category, and the same journal may occupy different positions in different JCR categories. Journals included in the categories of Biological Psychology, Experimental Psychology and Multidisciplinary Psychology had the highest impact factor (IF).

? Dastidar, P.G. and Ramachandran, S. (2005), Engineering research in ocean sector: An international profile. Scientometrics, 65 (2), 199-213.

Full Text: 2005\Scientometrics65, 199.pdf

Abstract: In this paper attempt has been made to study the engineering research scenario in ocean sector across the countries - globally. To understand the research dynamics, the articles appeared in Science Citation Index (SCI) database under Ocean Engineering category in the year 2000 were analyzed to visualize the structure of the field. USA and UK are the major producers - 62% of the total output contributed by them. The cooperation linkages between engineers, organizations, countries and journals were mapped. The causal linkages between the productivity function and the socio-economic imperatives of the production units were studied. 62% output in this sector goes to USA & UK. They are also toppers in collaboration centrality list. National Oceanic Atmospheric Administration (NOAA), USA, National Aeronautics and Space Administration (NASA), USA, National Institute of Oceanography (NIO), India are the most productive institutions. GDP explains only 36% of variance in productivity (R2 = 0.36). M Longuethiggins and CC Mei are the most cited authors in the field. Co-citation maps of cited authors and cited journals throw light on the semantic structure of the field. Studies in wave mechanics and modeling of waves are the most important areas of research in Ocean Technology.

? Guan, J.C. and He, Y. (2005), Comparison and evaluation of domestic and international outputs in Information Science & Technology research of China. Scientometrics, 65 (2), 215-244.

Full Text: 2005\Scientometrics65, 215.pdf

Abstract: The purpose of this paper is to evaluate the basic research performance of key projects in the field of information science & technology funded by National Natural Science Foundation of China (NSFC) from both international and national perspectives during the period 1994-2001, based upon the Science Citation Index (SCI) and China Scientific and Technical Papers and Citations (CSTPC) databases. We compare the international and domestic outputs of the key projects by applying various scientometric indicators and techniques. The findings indicate that, as a whole, the research performances of the key projects have, to different degrees, increased in both international and domestic papers during the period of study. Semiconductor is the internationally most productive sub-discipline and Automatization is the domestically most productive sub-discipline, measured on average per project. The Combination Impact Factor (CIF), which integrates the CSTPC-IF and the SCI-IF into the evaluation process, is further proposed for the combined evaluation of domestic and international outputs of the key projects. In terms of ratio of CIF relative to the funds in each sub-discipline, results also show that Semiconductor is the most productive sub-discipline and Computer is the least productive one. Using correlation analysis a significant and positive relationship between the SCI-IF and the CIF has been found for the evaluated projects.

? Jarneving, B. (2005), A comparison of two bibliometric methods for mapping of the research front. Scientometrics, 65 (2), 245-263.

Full Text: 2005\Scientometrics65, 245.pdf

Abstract: This paper builds on previous research concerned with the classification and specialty mapping of research fields. Two methods are put to test in order to decide if significant differences as to mapping results of the research front of a science field occur when compared. The first method was based on document co-citation analysis where papers citing co-citation clusters were assumed to reflect the research front. The second method was bibliographic coupling where likewise citing papers were assumed to reflect the research front. The application of these methods resulted in two different types of aggregations of papers: (1) groups of papers citing clusters of co-cited works and (2) clusters of bibliographically coupled papers. The comparision of the two methods as to mapping results was pursued by matching word profiles of groups of papers citing a particular co-citation cluster with word profiles of clusters of bibliographically coupled papers. Findings suggested that the research front was portrayed in two considerably different ways by the methods applied. It was concluded that the results in this study would support a further comparative study of these methods on a more detailed and qualitative ground. The original data set encompassed 73,379 articles from the fifty most cited environmental science journals listed in Journal Citation Report, science edition downloaded from the Science Citation Index on CD-ROM.

? Rousseau, R. (2005), Peter Ingwersen: Recipient of the 2005 Derek de Solla Price Award of the journal scientometrics. Scientometrics, 65 (3), 267-269.

Full Text: 2005\Scientometrics65, 267.pdf

? McCain, C. (2005), Howard D White: Recipient of the 2005 Derek de Solla Price Award of the journal scientometrics. Scientometrics, 65 (3), 271-273.

Full Text: 2005\Scientometrics65, 271.pdf

? Egghe, L. (2005), The share of items of highly productive sources as a function of the size of the system. Scientometrics, 65 (3), 275-291.

Full Text: 2005\Scientometrics65, 275.pdf

Abstract: The research in this paper is based on the paper of D.W. Aksnes & G. Sivertsen: The effect of highly cited papers on national citation indicators, Scientometrics 59 (2) (2004), 213-224, where one states that ‘the few highly cited papers account for the highest share of the citations in the smallest fields’.

This, at first sight, evident property is examined in the theoretical models that exist in the literature. We first define exactly what we mean by ‘size of a field’ (i.e. when is a field ‘smaller’ or ‘larger’ than another one). We show that there are two, non-equivalent possible definitions. Next we define exactly the possible property under study. This leads us again to two possible, non-equivalent formulations. Hence, in total, there are four different formulations to consider.

We show, by giving counterexamples, that none of these four formulations are true in general. We also express conditions (in Lotkaian and Zipfian informetrics), under which the property of Aksnes and Sivertsen is true.

All these results are not only valid in the papers-citations relationships but in any informetric source-item relationship. In this connection we present formulae describing the share of items of highly productive sources as a function of the parameters of the system (e.g. the size of the system).

Keywords: Cited Papers

? Sombatsompop, N., Markpin, T., Yochai, W. and Saechiew, M. (2005), An evaluation of research performance for different subject categories using Impact Factor Point Average (IFPA) index: Thailand case study. Scientometrics, 65 (3), 293-305.

Full Text: 2005\Scientometrics65, 293.pdf

Abstract: The research performance of Thai researchers in various subject categories was evaluated using a new mathematical index entitled “Impact Factor Point Average” (IFPA), by considering the number of published papers in journals listed in the Science Citation Index (SCI) database held by the Institute for Scientific Information (ISI) for the years 1998-2002, and the results compared with the direct publication number (PN) and publication credit (PC) methods. The results suggested that the PN and PC indicators cannot be used for comparison between fields or countries because of the strong field-dependence. The IFPA index, based on a normalization of differences in impact factors, rankings, and number of journal titles in different subject categories, was found to be simple and could be used with equality for accurate assessment of the quality of research work in different subject categories. The results of research performance were found to be dependent on the method used for the evaluations. All evaluation methods indicated that Clinical Medicine was ranked first in terms of the research performance of Thai scholars listed in the SCI database, but exhibited the lowest improvement of performance. Chemistry was shown to be the most improved subject category.

Keywords: Assessment, Chemistry, Citation, Differences, Evaluation, Impact, Impact Factor, Impact Factors, ISI, Journal, Journals, Papers, Publication, Quality, Rankings, Research, Research Performance, Research Work, Researchers, SCI, Science, Science Citation Index, Scientific Information, Subject Category

? Coccia, M. (2005), A scientometric model for the assessment of scientific research performance within public institutes. Scientometrics, 65 (3), 307-321.

Full Text: 2005\Scientometrics65, 307.pdf

Abstract: Nowadays, the Italian science sector is undergoing a strategic reform due to budget cuts and there is a need for measuring and evaluating research performance of public research institutes. This research presents a new measure to assess the scientific research performance of public research institutes. The new model is successfully applied to 108 public research institutes belonging to the Italian National Research Council, using data from year 2003 and displays the laboratories with high/low performance. The results are substantially stronger and quicker to obtain than those calculated by using conventional indicators. This model supports the policy-makers, who must decide about the level and direction of public funding for research and technology transfer.

Keywords: Research-and-Development, Higher-Education, Productivity, Indicators, Efficiency

? Glanzel, W. and Schubert, A. (2005), Domesticity and internationality in co-authorship, references and citations. Scientometrics, 65 (3), 323-342.

Full Text: 2005\Scientometrics65, 323.pdf

Abstract: As a first element of a macro-level country-by-country cross-reference and cross-citation analysis, domestic/international character of reference and citation behavior of 36 countries is studied and compared with international co-authorship patterns. Indicators of reference and citation domesticity as well as reference-citation domesticity balance are constructed and presented. Science policy relevance of these indicators is discussed and examples deserving science policy attention are pinpointed.

Keywords: Analysis, Attention, Balance, Behavior, Citation, Citations, Co-Authorship, Coauthorship, Indicators, Policy, Science, Science Policy

? Ma, N. and Guan, J.C. (2005), An exploratory study on collaboration profiles of Chinese publications in Molecular Biology. Scientometrics, 65 (3), 343-355.

Full Text: 2005\Scientometrics65, 343.pdf

Abstract: As science has become much complex and sophisticated, greater attention is paid to scientific collaboration within recent bibliometric studies. A total of 6538 publications in Molecular Biology from China during 1999-2003, as indicated by data collected from database of the Science Citation Index Expanded - Web Edition, have been analyzed. A large proportion of publications have been authored by more than 3 scientists. The composition of publications grouped by collaboration patterns are: 1.58% non-collaborative papers, 42.43% local papers, 34.37% domestic papers and 21.62% international papers on average during the studied period. The countries with which China has collaborative links and their frequencies are all itemized to indicate the intensity of international collaboration in the field of Molecular Biology. Finally, the differences between the impact of wholly indigenous papers and internationally collaborative papers have been compared. The results indicate that foreign collaboration does contribute a lot to the improvement of the mainstream connectivity and international visibility.

Keywords: International Scientific Collaboration, Co-Authorship, Research Performance, Impact Factor, Science, 20th-Century, Cooperation, Technology, Patterns

? Hanney, S., Frame, I., Grant, J., Buxton, M., Young, T. and Lewison, G. (2005), Using categorisations of citations when assessing the outcomes from health research. Scientometrics, 65 (3), 357-379.

Full Text: 2005\Scientometrics65, 357.pdf

Abstract: This paper describes an attempt to explore how far a categorisation of citations could be used as part of an assessment of the outcomes from health research. A large-scale project to assess the outcomes from basic, or early clinical, research is being planned, but before proceeding with such a project it was thought important to test and refine the developing methods in a preliminary study. Here we describe the development, and initial application, of one element of the planned methods: an approach to categorising citations with the aim of tracing the impact made by a body of research through several generations of papers. The results from this study contribute to methodological development for the large-scale project by indicating that: only for a small minority of citing papers is the cited paper of considerable importance; the number of times a paper is cited can not be used to indicate the importance of that paper to the articles that cite it; and self-citations could play an important role in facilitating the eventual outcomes achieved from a body of research.

Keywords: Assessment, Author Self-Citations, Behavior, Biomedical-Research, Citations, Communication, Context Analysis, Development, Impact, Improvement, Indicators, Motivations, Outcomes, Papers, References, Research, Science

? Burrell, Q.L. (2005), Are “sleeping beauties” to be expected? Scientometrics, 65 (3), 381-389.

Full Text: 2005\Scientometrics65, 381.pdf

Abstract: A paper that is little cited (‘sleeps’) for a long period of time and then becomes much cited (‘is awakened’), has been termed by van Raan (2004) a ‘Sleeping Beauty’, or a paper that was ‘ahead of its time’. The inference is that the importance of the paper was not initially recognised, only later was it (re)discovered. On the other hand, much theoretical work in informetrics views the citation process as being purely random - modelled by an appropriate stochastic process. From this point of view, the ‘awakening’ could simply be a matter of chance without necessarily saying anything about the worth of the paper. The question therefore arises as to whether such awakenings can be explained or expected purely by the random nature of the model or whether they are so unlikely that an alternative explanation should be sought. In this note we express the notion of a Sleeping Beauty in terms of a well-known stochastic model and seek to answer this question, at least in general terms.

Keywords: Alternative, Citation, Citation Distribution, Delayed Recognition, Hand, Informetrics, Model, Process, Stochastic-Model

? Bornmann, L. and Daniel, H.D. (2005), Does the h-index for ranking of scientists really work? Scientometrics, 65 (3), 391-392.

Full Text: 2005\Scientometrics65, 391.pdf

Abstract: Hirsch (2005) has proposed the h-index as a single-number criterion to evaluate the scientific output of a researcher (Ball, 2005): A scientist has index h if h of his, her N-p papers have at least h citations each, and the other (N-p - h) papers have fewer than h citations each. In a study on committee peer review (Bornmann & Daniel, 2005) we found that on average the h-index for successful applicants for post-doctoral research fellowships was consistently higher than for non-successful applicants.

Keywords: Citations, h Index, h-Index, Hirsch, Index h, Papers, Peer Review, Peer-Review, Ranking, Research, Review, Scientific Output, Work

? Wooding, S., Wilcox-Jay, K., Lewison, G. and Grant, J. (2006), Co-author inclusion: A novel recursive algorithmic method for dealing with homonyms in bibliometric analysis. Scientometrics, 66 (1), 11-21.

Full Text: 2006\Scientometrics66, 11.pdf

Abstract: Large scale bibliometric analysis is often hindered by the presence of homonyms, or namesakes, of the researchers of interest in literature databases. This makes it difficult to build up a true picture of a researcher’s publication record, as publications by another researcher with the same name will be included in search results. Using additional information such as title and author addresses, an expert in the field can generally tell if a paper is by a researcher or a namesake, however, manual checking is not practical in large scale studies. Previously various methods have been used to address this problem, chiefly based on filtering by subject, funding acknowledgement or author address. Co-author inclusion is a novel algorithmic method based on co-authorship for dealing with problems of homonyms in large bibliometric surveys. We compared co-author inclusion and subject and funding based filter against the manual assignment of papers by a subject expert (which we assumed to be correct). The subject and funding based filtering identifies only 75% as many papers as assigned by manual scoring. By using co-author inclusion once we increase this to 95%, two further rounds produces 99% as many papers as manual filtering. Although the number of papers identified that were not assigned to the PIs manually also increases, the absolute number is low: rising from 0.2% papers with subject and funding filtering, to 3% papers for three rounds of co-author inclusion.

Keywords: Publications

? Sangam, S.L., Savanur, K., Manjunath, M. and Vasudevan, R. (2006), Scientometric portrait of Prof. Peter John Wyllie. Scientometrics, 66 (1), 43-53.

Full Text: 2006\Scientometrics66, 43.pdf

Abstract: Scientometrics is an application of quantitative methods to the history of Science. It is also one of the techniques for documenting, collecting works of eminent scientists and researcher’s. In this paper, we present a concise sketch of Prof. Peter John Wyllie, stressing on his scientific achievements. His research has had a great impact in the fields dealing with terrestrial magmatic phenomena and geology.

Keywords: Research

? Thijs, B. and Glänzel, W. (2006), The influence of author self-citations on bibliometric meso-indicators. The case of European universities. Scientometrics, 66 (1), 71-80.

Full Text: 2006\Scientometrics66, 71.pdf

Abstract: In earlier studies by the authors, basic regularities of author self-citations have been analysed. These regularities are related to the ageing, to the relation between self-citations and foreign citations, to the interdependence of self-citations with other bibliometric indicators and to the influence of co-authorship on self-citation behaviour. Although both national and subject specific peculiarities influence the share of self-citations at the macro level, the authors came to the conclusion that - at this level of aggregation - there is practically no need for excluding self-citations. The aim of the present study is to answer the question in how far the influence of author self-citations on bibliometric meso-indicators deviates from that at the macro level, and to what extent national reference standards can be used in bibliometric meso analyses. In order to study the situation at the institutional level, a selection of twelve European universities representing different countries and different research profiles have been made. The results show a quite complex situation at the meso-level, therefore we suggest the usage of both indicators, including and excluding self-citations.

Keywords: Macro, Research

? Nederhof, A.J. (2006), Bibliometric monitoring of research performance in the social sciences and the humanities: A review. Scientometrics, 66 (1), 81-100.

Full Text: 2006\Scientometrics66, 81.pdf

Abstract: This paper addresses research performance monitoring of the social sciences and the humanities using citation analysis. Main differences in publication and citation behavior between the (basic) sciences and the social sciences and humanities are outlined. Limitations of the (S)SCI and A&HCI for monitoring research performance are considered. For research performance monitoring in many social sciences and humanities, the methods used in science need to be extended. A broader range of both publications (including non-ISI journals and monographs) and citation indicators (including non-ISI reference citation values) is needed. Three options for bibliometric monitoring are discussed.

Keywords: Behavioral-Sciences, Books, Impact, Indicators, Journals, Publication, Publications, Reference Networks, Research, Scientific Literature, Sociology Citation Index, University Departments

? Rojo, R. and Gómez, I. (2006), Analysis of the Spanish scientific and technological output in the ICT sector. Scientometrics, 66 (1), 101-121.

Full Text: 2006\Scientometrics66, 101.pdf

Abstract: This study presents a general view of the scientific and technological production in the ICT sector in Spain during the period 1990-2002 and its relative weight in the international production, as well as the identification of the main institutional actors and the performance patterns of the researchers in this scientific community through bibliometric techniques, with the aim of exploring the character of its outputs, both in terms of publications and patents. Indicators at macro-meso level are presented by: geographic regions, thematic areas at different aggregation levels, institutional sectors and research centres. Bibliometric indicators may help focus attention on the position and contribution of Spanish ICT science and technological capabilities.

Keywords: Communication Technologies, Information, Performance, Publications, Research, Science, Semiconductor Literature

? van Leeuwen, T. (2006), The application of bibliometric analyses in the evaluation of social science research. Who benefits from it, and why it is still feasible. Scientometrics, 66 (1), 133-154.

Full Text: 2006\Scientometrics66, 133.pdf

Abstract: The paper discusses an application of bibliometric techniques in the social sciences. While the interest of policy makers is growing, the topic is getting more and more attention from bibliometricians. However, many efforts are put into developing tools to measure scientific output and impact outside the world of the Social Sciences Citation Index, while the use of the SSCI for bibliometric applications is covered with obscurity and myths. This study attempts to clarify some of the topics mentioned against the application of the SSCI for evaluation purposes. The study will cover topics like the existing publication and citation culture within the social sciences, the effect of variable citation windows, and the (geographical) origin of citation flows.

Keywords: Analyses, Application, Bibliometric, Bibliometric Analyses, Bibliometric Techniques, Citation, Culture, Developing, Evaluation, Impact, Measure, Origin, Policy, Publication, Research, Science, Science Research, Sciences, Scientific Output, Social, Social Sciences, SSCI, Techniques, World

? Lundberg, J., Fransson, A., Brommels, M., Skår, J. and Lundkvist, I. (2006), Is it better or just the same? Article identification strategies impact bibliometric assessments. Scientometrics,



Download 6.47 Mb.

Share with your friends:
1   ...   105   106   107   108   109   110   111   112   ...   275




The database is protected by copyright ©ininet.org 2024
send message

    Main page