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E. Z. Suluimanov V. A. Frolova S. K. Khasenova 《Scientific and Technical Information Processing》2009,36(5):290-297
This paper gives the results of the scientometric analysis of foreign publications by Kazakh authors that was reflected in
the SCOPUS DB in 1991–2008. The publication activity is expressed in 3883 documents, the citation index of which is 10 132.
The average share of Kazakh publications in the total worldwide flow is equal to 0.017%. The citation rate of publications
was revealed to have significantly grown since the 1996–2000 period. It is shown that most articles were written in English
and published in periodical editions. The main themes of publications are represented by physics and chemistry. The leading
foreign partners of Kazakhstan in the scientific sphere were determined. Kazakh-Russian scientific cooperation is developing
most fruitfully. 相似文献
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V. A. Frolova S. K. Khasenova T. Sh. Kubieva O. A. Rog 《Scientific and Technical Information Processing》2008,35(2):104-106
This paper discusses the evaluation of scientific activity with the help of some scientometric indices, in particular, a citation index. The information massif of the bibliographic database of citations to domestic publications of Kazakh authors is statistically described. 相似文献
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The scientific impact of a publication can be determined not only based on the number of times it is cited but also based on the citation speed with which its content is noted by the scientific community. Here we present the citation speed index as a meaningful complement to the h index: whereas for the calculation of the h index the impact of publications is based on number of citations, for the calculation of the speed index it is the number of months that have elapsed since the first citation, the citation speed with which the results of publications find reception in the scientific community. The speed index is defined as follows: a group of papers has the index s if for s of its Np papers the first citation was at least s months ago, and for the other (Np ? s) papers the first citation was ≤s months ago. 相似文献
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The ability to predict the long-term impact of a scientific article soon after its publication is of great value towards accurate assessment of research performance. In this work we test the hypothesis that good predictions of long-term citation counts can be obtained through a combination of a publication's early citations and the impact factor of the hosting journal. The test is performed on a corpus of 123,128 WoS publications authored by Italian scientists, using linear regression models. The average accuracy of the prediction is good for citation time windows above two years, decreases for lowly-cited publications, and varies across disciplines. As expected, the role of the impact factor in the combination becomes negligible after only two years from publication. 相似文献
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《Journal of Informetrics》2022,16(4):101350
This study explores the impact of different collaboration modes on the cited frequency of publications. Though several studies have obtained some research results, most of them exploit association or regression-based methods, which may not lead to causal conclusions. To overcome the above challenges, we use the Propensity Score Matching (PSM) method to analyze and compare the citation frequencies resulting from four groups of collaboration models: international versus domestic, international multilateral versus international bilateral, domestic inter-organizational versus domestic intra-organizational, and domestic multi-author versus domestic single-author. More specifically, we conduct this analysis by exploring the publications with three computer science subfields from the Web of Science (WoS) database. The experimental results show that international collaboration, especially international multilateral collaboration, has a significant role in increasing the frequency of citations to scientific publications, showing that internationalization and collaboration are critical factors in the growth of the impact of the papers. Among national co-publications, collaborative publications within national organizations receive a higher citation impact. Multi-author collaborations significantly increase citation frequency compared to single-author publications. Our heterogeneity analysis across the different subfields of the computer science domain finds that the treatment effects for the three subfields differ modestly and mostly significant from the whole sample. Moreover, besides the implications for developing research policy and scientist collaboration, our study can capture the causal effect between author collaboration patterns and citation frequency to reveal their causal effects. 相似文献
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《Journal of Informetrics》2014,8(3):683-692
This paper explores a possible approach to a research evaluation, by calculating the renown of authors of scientific papers. The evaluation is based on the citation analysis and its results should be close to a human viewpoint. The PageRank algorithm and its modifications were used for the evaluation of various types of citation networks. Our main research question was whether better evaluation results were based directly on an author network or on a publication network. Other issues concerned, for example, the determination of weights in the author network and the distribution of publication scores among their authors. The citation networks were extracted from the computer science domain in the ISI Web of Science database. The influence of self-citations was also explored. To find the best network for a research evaluation, the outputs of PageRank were compared with lists of prestigious awards in computer science such as the Turing and Codd award, ISI Highly Cited and ACM Fellows. Our experiments proved that the best ranking of authors was obtained by using a publication citation network from which self-citations were eliminated, and by distributing the same proportional parts of the publications’ values to their authors. The ranking can be used as a criterion for the financial support of research teams, for identifying leaders of such teams, etc. 相似文献
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The h index is a widely used indicator to quantify an individual's scientific research output. But it has been criticized for its insufficient accuracy—the ability to discriminate reliably between meaningful amounts of research output. As a single measure it cannot capture the complete information on the citation distribution over a scientist's publication list. An extensive data set with bibliometric data on scientists working in the field of molecular biology is taken as an example to introduce two approaches providing additional information to the h index: (1) h2 lower, h2 center, and h2 upper are proposed, which allow quantification of three areas within a scientist's citation distribution: the low impact area (h2 lower), the area captured by the h index (h2 center), and the area of publications with the highest visibility (h2 upper). (2) Given the existence of different areas in the citation distribution, the segmented regression model (sRM) is proposed as a method to statistically estimate the number of papers in a scientist's publication list with the highest visibility. However, such sRM values should be compared across individuals with great care. 相似文献
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科学知识借助引用关系发生动态扩散,客观记录科学发展与演化的轨迹。由于知识之间存在千丝万缕的联系,以孤立的观点看待科学知识的影响与价值往往得到的是片面的感观。本文从联系的视角观察科学知识产出,尝试通过被引、引用、文献耦合与共被引等文献关系为单篇论著构建引文扩散网络,探讨"文献嵌入网络"的概念、测度方式及其在引文扩散过程中起到的特殊作用。案例分析显示,科学知识的形成相伴于科学知识网络的发展,同时也受到这个网络的影响:科学知识向科学领域的扩散,遵循从核心领域向周边领域的扩散模式;施引文献可以揭示目标文献中没有显式呈现的信息;四种文献关系之间可能存在相当程度的重合,引文扩散过程显示出知识的"黏滞性"与非常明显的"小世界"特征。对科学产出的扩散网络进行量化有助于为全面评价其价值提供更多客观依据。 相似文献
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Studies on the relationship between the numbers of citations and downloads of scientific publications is beneficial for understanding the mechanism of citation patterns and research evaluation. However, seldom studies have considered directionality issues between downloads and citations or adopted a case-by-case time lag length between the download and citation time series of each individual publication. In this paper, we introduce the Granger-causal inference strategy to study the directionality between downloads and citations and set up the length of time lag between the time series for each case. By researching the publications on the Lancet, we find that publications have various directionality patterns, but highly cited publications tend to feature greater possibilities to have Granger causality. We apply a step-by-step manner to introduce the Granger-causal inference method to information science as four steps, namely conducting stationarity tests, determining time lag between time series, establishing cointegration test, and implementing Granger-causality inference. We hope that this method can be applied by future information scientists in their own research contexts. 相似文献
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A proposal is made in this paper for a broadening of perspective in evaluative bibliometrics by complementing the (standard) times cited with a cited reference analysis for a field-specific citation impact measurement. The times cited approach counts the citations of a given publication set. In contrast, we change the perspective and start by selecting all papers dealing with a specific research topic or field (the example in this study is research on Aspirin). Then we extract all cited references from the papers of this field-specific publication set and analyse which papers, scientists, and journals have been cited most often. In this study, we use the Chemical Abstracts registry number to select the publications for a specific field. However, the cited reference approach can be used with any other field classification system proposed up to now. 相似文献
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《Journal of Informetrics》2007,1(3):185-192
In this paper, we propose two methods for scoring scientific output based on statistical quantile plotting. First, a rescaling of journal impact factors for scoring scientific output on a macro level is proposed. It is based on normal quantile plotting which allows to transform impact data over several subject categories to a standardized distribution. This can be used in comparing scientific output of larger entities such as departments working in quite different areas of research. Next, as an alternative to the Hirsch index [Hirsch, J.E. (2005). An index to quantify an individuals scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102(46), 16569–16572], the extreme value index is proposed as an indicator for assessment of the research performance of individual scientists. In case of Lotkaian–Zipf–Pareto behaviour of citation counts of an individual, the extreme value index can be interpreted as the slope in a Pareto–Zipf quantile plot. This index, in contrast to the Hirsch index, is not influenced by the number of publications but stresses the decay of the statistical tail of citation counts. It appears to be much less sensitive to the science field than the Hirsch index. 相似文献
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科学研究的目的在于创造知识,并应用理论成果解决我国社会、经济、文化等发展中的实际问题。将论文发表在国际期刊上可以让更多的国际同行了解我国最新的科研成果,为我国获得更多的国际影响力,所以在过去二十多年里SCI论文成为我国科研考核的一个重要指标。在这种科研评价导向下,我国学者发表的国际论文数量已居世界第一位,而大量来自国内同行的引用使得我国国际论文的被引量排名世界第二。本文提取1990至2015年Web of Science论文及其引文的数据,分析不同国家、不同学科在国家层次的自引情况,并在不同国家、不同学科之间进行比较。研究发现,在排除国内同行的自引后,我国国际论文的真实国际影响力仍然有限,除了临床医学和物理等少数学科外,其他学科仍然低于全球平均水平。 相似文献
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Paul Donner 《Journal of Informetrics》2018,12(1):330-343
A standard procedure in citation analysis is that all papers published in one year are assessed at the same later point in time, implicitly treating all publications as if they were published at the exact same date. This leads to systematic bias in favor of early-months publications and against late-months publications. This contribution analyses the size of this distortion on a large body of publications from all disciplines over citation windows of up to 15 years. It is found that early-month publications enjoy a substantial citation advantage, which arises from citations received in the first three years after publication. While the advantage is stronger for author self-citations as opposed to citations from others, it cannot be eliminated by excluding self-citations. The bias decreases only slowly over longer citation windows due to the continuing influence of the earlier years’ citations. Because of the substantial extent and long persistence of the distortions, it would be useful to remove or control for this bias in research and evaluation studies which use citation data. It is demonstrated that this can be achieved by using the newly introduced concept of month-based citation windows. 相似文献
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以中国知网《中国学术期刊网络出版总库》和《中国引文数据库》为统计源,分析2006—2010年国内期刊出版专题研究高被引论文的分布规律。中国知网共收录2006—2010年国内期刊出版专题研究论文5万3 702篇,被引1万4 696篇,被引频次4万773次;前50篇高被引论文总被引频次2 019次,最高被引93次,最低28次,篇均被引40.38次。对50篇高被引论文的研究方向、源期刊及其地区、作者情况进行了统计和分析,以为出版专题的研究和编辑工作提供参考。 相似文献
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1988年我国主要中文科技期刊论文的统计与分析 总被引：8，自引：0，他引：8
为了全面了解我国科技发展的水平和准备编制中国论文引文索引以进行引证分析工作,从1988年全国3052种自然科学技术类期刊中精选具有代表性的1189种期刊作为统计源,选取论文85750篇进行统计分析。每篇论文作为一条数据,其项目包括刊名、年卷期、作者姓名、单位及类别、所在地、论文所属学科类别、文题、基金资助情况、文后引文数量等11项检索项目,并利用dBASE程序建库。分析结果:北京(14272篇)、上海(8187篇)、江苏(7058)、四川(5091篇)、湖北(4718篇)为发表论文数的前五名。在28个学科分类中,北京有23个名列第一。黑龙江省发表石油、天然气的论文最多,江苏省发表轻纺技术论文领先,辽宁省的矿业工程论文居全国第一,上海和湖北分别发表动力工程和水利技术论文最多。85750篇论文中工业技术类论文占46.32％,农林类占11.88％,基础科学占22.44％,医药类占17.58％。高等院校发表的论文占总量的51.77％,科研院所占25.95％。通过多种基金资助的论文占总量的4.4％,其中基础学科的论文占基础理论论文总量的10％以上。平均每篇文章引文数为5.4篇。 相似文献
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中国、印度计算机科学领域论文影响力的比较研究 总被引：1，自引：0，他引：1
文章以1999-2008年Science Citation Index--Expanded为数据来源,从发文数量、被引频次、发文期刊的时间分布、期刊影响因子、被引频次等方面对中国和印度两国在计算机科学领域内论文的发文情况进行了比较研究。 相似文献
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《Journal of Informetrics》2020,14(2):101013
A citation is a well-established mechanism for connecting scientific artifacts. Citation networks are used by citation analysis for a variety of reasons, prominently to give credit to scientists’ work. However, because of current citation practices, scientists tend to cite only publications, leaving out other types of artifacts such as datasets. Datasets then do not get appropriate credit even though they are increasingly reused and experimented with. We develop a network flow measure, called DataRank, aimed at solving this gap. DataRank assigns a relative value to each node in the network based on how citations flow through the graph, differentiating publication and dataset flow rates. We evaluate the quality of DataRank by estimating its accuracy at predicting the usage of real datasets: web visits to GenBank and downloads of Figshare datasets. We show that DataRank is better at predicting this usage compared to alternatives while offering additional interpretable outcomes. We discuss improvements to citation behavior and algorithms to properly track and assign credit to datasets. 相似文献
19.
《Journal of Informetrics》2023,17(3):101432
The disruption (D) index is a network-based indicator to quantify the extent to which a focal paper disrupts its predecessors. This study focuses on what disruption means by examining example articles related to “sleeping beauties in science” and frequency-inverse document frequency (TF-IDF). We investigated the structure of the citation network and subsequent papers’ motivations for citing the focal papers. Based on the observation that conceptual work is more likely to disrupt science than technical work, we hypothesize that disruption reflects the mechanism of how paradigms shift in the development of science. We also assume that the disruption identified by the D index indicates more than generating a new direction. Disruptive contributions include revolutionary studies such as Nobel-prize-winning papers, as suggested in previous work. However, disruptive contributions also include scientific dissemination of new terminology created by popular proposals, such as “sleeping beauties in science.” Such contributions redefine and popularize phenomena in science. 相似文献
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Raj K. Pan Alexander M. Petersen Fabio Pammolli Santo Fortunato 《Journal of Informetrics》2018,12(3):656-678
Scientific production is steadily growing, exhibiting 4% annual growth in publications and 1.8% annual growth in the number of references per publication, together producing a 12-year doubling period in the total supply of references, i.e. links in the science citation network. This growth has far-reaching implications for how academic knowledge is connected, accessed and evaluated. Against this background, we analyzed a citation network comprised of 837 million references produced by 32.6 million publications over the period 1965–2012, allowing for a detailed analysis of the ‘attention economy’ in science. Our results show how growth relates to ‘citation inflation’, increased connectivity in the citation network resulting from decreased levels of uncitedness, and a narrowing range of attention – as both very classic and very recent literature are being cited increasingly less. The decreasing attention to recent literature published within the last 6 years suggests that science has become stifled by a publication deluge destabilizing the balance between production and consumption. To better understand these patterns together, we developed a generative model of the citation network, featuring exponential growth, the redirection of scientific attention via publications’ reference lists, and the crowding out of old literature by the new. We validate our model against several empirical benchmarks, and then use perturbation analysis to measure the impact of shifts in citing behavior on the synthetic system's properties, thereby providing insights into the functionality of the science citation network as an infrastructure supporting the memory of science. 相似文献