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1.
Dalibor Fiala 《Journal of Informetrics》2012,6(3):370-388
In the past, recursive algorithms, such as PageRank originally conceived for the Web, have been successfully used to rank nodes in the citation networks of papers, authors, or journals. They have proved to determine prestige and not popularity, unlike citation counts. However, bibliographic networks, in contrast to the Web, have some specific features that enable the assigning of different weights to citations, thus adding more information to the process of finding prominence. For example, a citation between two authors may be weighed according to whether and when those two authors collaborated with each other, which is information that can be found in the co-authorship network. In this study, we define a couple of PageRank modifications that weigh citations between authors differently based on the information from the co-authorship graph. In addition, we put emphasis on the time of publications and citations. We test our algorithms on the Web of Science data of computer science journal articles and determine the most prominent computer scientists in the 10-year period of 1996–2005. Besides a correlation analysis, we also compare our rankings to the lists of ACM A. M. Turing Award and ACM SIGMOD E. F. Codd Innovations Award winners and find the new time-aware methods to outperform standard PageRank and its time-unaware weighted variants. 相似文献
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参考文献引用分类标注与科技期刊和论文的评价 总被引：6，自引：0，他引：6
为了规范参考文献的引用,减小引文问题对科技期刊和论文评价所造成的影响,使得以引文为基础的各种分析方法在科技期刊和论文的评价中更加合理、更加科学,提出了参考文献引用分类标注的概念.依据被引文献对论文作用的不同和引用意义的差别,将论文所引用参考文献分为正相关性引用类、负相关性引用类和平行相关性引用类,建议在论文写作中标注出分类的标志,编辑和审稿人在编审时可据此核实参考文献引用的正确性.在论文评价时分类进行检索统计,有利于进一步规范引文分析的各项指标,变笼统的引文分析为细化的据类分析评价,使引文分析评价体系更加科学、更加可靠. 相似文献
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There is an overall perception of increased interdisciplinarity in science, but this is difficult to confirm quantitatively owing to the lack of adequate methods to evaluate subjective phenomena. This is no different from the difficulties in establishing quantitative relationships in human and social sciences. In this paper we quantified the interdisciplinarity of scientific journals and science fields by using an entropy measurement based on the diversity of the subject categories of journals citing a specific journal. The methodology consisted in building citation networks using the Journal Citation Reports® database, in which the nodes were journals and edges were established based on citations among journals. The overall network for the 11-year period (1999–2009) studied was small-world and followed a power-law with exponential cutoff distribution with regard to the in-strength. Upon visualizing the network topology an overall structure of the various science fields could be inferred, especially their interconnections. We confirmed quantitatively that science fields are becoming increasingly interdisciplinary, with the degree of interdisplinarity (i.e. entropy) correlating strongly with the in-strength of journals and with the impact factor. 相似文献
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中美图书馆学借用知识的比较观察——基于十年引文的分析 总被引：1，自引：0，他引：1
对中美4种图书馆学拔尖期刊3116篇论文的36998篇样本引文进行了多角度分析,发现中美图书馆学理论均广泛借用其他学科知识,借用学科出现长尾现象。从借用学科领域看,美国较关注生命系统领域,中国关注非生命系统领域;从借用知识形式看,中国重视动态知识,美国则更重视稳定知识;从借用知识年代看,美国重视累计的知识,中国更重视现实知识。据此得出结论：中国图书馆学知识体系更接近于应用学科,美国图书馆学知识体系更接近于生命系统学科;中国图书馆学研究重视吸收新知识,忽略知识积累。我国图书馆学研究应加强基础理论研究,加强对纯科学知识的借用,加强生命系统学科知识的借用,注重知识积累与学术传承。图1。表6。参考文献14。 相似文献
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《Journal of Informetrics》2022,16(4):101341
We study an agent-based model for generating citation distributions in complex networks of scientific papers, where a fraction of citations is allotted according to the preferential attachment rule (rich get richer) and the remainder is allocated accidentally (purely at random, uniformly). Previously, we derived and analysed such a process in the context of describing individual authors, but now we apply it to scientific journals in computer and information sciences. Based on the large DBLP dataset as well as the CORE (Computing Research and Education Association of Australasia) journal ranking, we find that the impact of journals is correlated with the degree of accidentality of their citation distribution. Citations to impactful journals tend to be more preferential, while citations to lower-ranked journals are distributed in a more accidental manner. Further, applied fields of research such as artificial intelligence seem to be driven by a stronger preferential component – and hence have a higher degree of inequality – than the more theoretical ones, e.g., mathematics and computation theory. 相似文献
7.
《Journal of Informetrics》2014,8(1):147-161
Across the various scientific domains, significant differences occur with respect to research publishing formats, frequencies and citing practices, the nature and organisation of research and the number and impact of a given domain's academic journals. Consequently, differences occur in the citations and h-indices of the researchers. This paper attempts to identify cross-domain differences using quantitative and qualitative measures. The study focuses on the relationships among citations, most-cited papers and h-indices across domains and for research group sizes. The analysis is based on the research output of approximately 10,000 researchers in Slovenia, of which we focus on 6536 researchers working in 284 research group programmes in 2008–2012.As comparative measures of cross-domain research output, we propose the research impact cube (RIC) representation and the analysis of most-cited papers, highest impact factors and citation distribution graphs (Lorenz curves). The analysis of Lotka's model resulted in the proposal of a binary citation frequencies (BCF) distribution model that describes well publishing frequencies. The results may be used as a model to measure, compare and evaluate fields of science on the global, national and research community level to streamline research policies and evaluate progress over a definite time period. 相似文献
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《Journal of Informetrics》2020,14(4):101074
Demonstrating the practical value of public research has been an important subject in science policy. Here we present a detailed study on the evolution of the citation linkage between life science related patents and biomedical research over a 37-year period. Our analysis relies on a newly-created dataset that systematically links millions of non-patent references to biomedical papers. We find a large disparity in the volume of citations to science among technology sectors, with biotechnology and drug patents dominating it. The linkage has been growing exponentially over a long period of time, doubling every 2.9 years. The U.S. has been the largest producer of cited science for years, receiving nearly half of the citations. More than half of citations goes to universities. We use a new paper-level indicator to quantify to what extent a paper is basic research or clinical medicine. We find that the cited papers are likely to be basic research, yet a significant portion of papers cited in patents that are related to FDA-approved drugs are clinical research. The U.S. National Institute of Health continues to be an important funder of cited science. For the majority of companies, more than half of citations in their patents are authored by public research. Taken together, these results indicate a continuous linkage of public science to private sector inventions. 相似文献
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[目的/意义]针对现有评价方法对期刊影响因素考虑不全面的问题,提出一种将期刊被引频次、被引时间异质性与被引分布均衡性相结合的期刊综合评价方法。[方法/过程]首先,基于期刊被引时间的异质性计算加权篇均被引频次;其次,利用改进后的泰尔指数衡量期刊被引分布的均衡性;最后,利用熵权法与灰色关联分析法将被引时间异质性与被引频次均衡性相结合,构建期刊综合评价指数——关联度指数(Relevance Index,简称RI)。[结果/结论]通过对国外图书情报领域的40种期刊进行实证分析,结果发现:相比于JIF和h指数,RI指数能够考虑期刊被引时间的异质性,时效性更强,权重分配更合理;RI指数能兼顾期刊被引分布的均衡性,能够识别平均影响力较强的期刊,评价结果更加客观、全面。 相似文献
10.
《Journal of Informetrics》2014,8(1):77-88
One of the flaws of the journal impact factor (IF) is that it cannot be used to compare journals from different fields or multidisciplinary journals because the IF differs significantly across research fields. This study proposes a new measure of journal performance that captures field-different citation characteristics. We view journal performance from the perspective of the efficiency of a journal's citation generation process. Together with the conventional variables used in calculating the IF, the number of articles as an input and the number of total citations as an output, we additionally consider the two field-different factors, citation density and citation dynamics, as inputs. We also separately capture the contribution of external citations and self-citations and incorporate their relative importance in measuring journal performance. To accommodate multiple inputs and outputs whose relationships are unknown, this study employs data envelopment analysis (DEA), a multi-factor productivity model for measuring the relative efficiency of decision-making units without any assumption of a production function. The resulting efficiency score, called DEA-IF, can then be used for the comparative evaluation of multidisciplinary journals’ performance. A case study example of industrial engineering journals is provided to illustrate how to measure DEA-IF and its usefulness. 相似文献
11.
[目的/意义]在学术交流日趋国际化的背景下,本文拟探索引文国际化与被引量之间的关系,力图回答良好的国际视野是否有助于提升论文的学术影响力这一学界普遍关注的问题。[研究设计/方法]以社会科学为研究对象,选取管理学、图书情报学和新闻传播学的181,406篇CSSCI论文为研究样本,采用相关分析、非参数检验与回归分析的方法研究引用外文期刊论文的数量、学术质量、学科领域、时效性对论文被引量的影响。[结论/发现]在控制了文献类型、期刊声誉等若干可能影响论文被引量的因素后,发现样本论文的引文国际化水平对其被引量具有显著的正向影响。具体而言,引用外文期刊论文的数量越多、平均学术质量越高、学科专属度越高、平均时效性越强的论文具有更高的被引量。[创新/价值]证实了国际视野有助于提升中文社科论文的学术影响力,并提出了有针对性的建议。 相似文献
12.
We address issues concerning what one may learn from how citation instances are distributed in scientific articles. We visualize and analyze patterns of citation distributions in the full text of 350 articles published in the Journal of Informetrics. In particular, we visualize and analyze the distributions of citations in articles that are organized in a commonly seen four-section structure, namely, introduction, method, results, and conclusions (IMRC). We examine the locations of citations to the groundbreaking h-index paper by Hirsch in 2005 and how patterns associated with citation locations evolve over time. The results show that citations are highly concentrated in the first section of an article. The density of citations in the first section is about three times higher than that in subsequent sections. The distributions of citations to highly cited papers are even more uneven. 相似文献
13.
In citation network analysis, complex behavior is reduced to a simple edge, namely, node A cites node B. The implicit assumption is that A is giving credit to, or acknowledging, B. It is also the case that the contributions of all citations are treated equally, even though some citations appear multiply in a text and others appear only once. In this study, we apply text-mining algorithms to a relatively large dataset (866 information science articles containing 32,496 bibliographic references) to demonstrate the differential contributions made by references. We (1) look at the placement of citations across the different sections of a journal article, and (2) identify highly cited works using two different counting methods (CountOne and CountX). We find that (1) the most highly cited works appear in the Introduction and Literature Review sections of citing papers, and (2) the citation rankings produced by CountOne and CountX differ. That is to say, counting the number of times a bibliographic reference is cited in a paper rather than treating all references the same no matter how many times they are invoked in the citing article reveals the differential contributions made by the cited works to the citing paper. 相似文献
14.
Feifei Wang Chenran Jia Xiaohan Wang Junwan Liu Shuo Xu Yang Liu Chenyuyan Yang 《Journal of Informetrics》2019,13(3):856-873
Constructing academic networks to explore intellectual structure realize academic community detection, which can promote scientific research innovation and discipline progress, constitutes an important research topic. In this study, tripartite citation is fused with co-citation and coupling relations as a way of weighting the strength of direct citations, and all-author tripartite citation networks were constructed due to the contributions of all authors to the resulting publications. For purpose of exploring the potential of the all-author exclusive and inclusive tripartite citation networks, gene editing is taken as a case study. The extensive experimental comparisons are conducted with the traditional author single-citation networks and first-author tripartite citation network in terms of network structure characteristics, identifying core scholars, and exploring intellectual structures. The following conclusions can be drawn as follows: our all-author tripartite citation networks are able to help identify the most influential scholars in the field of gene editing, and the intellectual structures from exclusive tripartite citation networks are optimal. 相似文献
15.
Chuanfu Chen Ping WangAuthor VitaeYaqi LiuAuthor Vitae Gang WuAuthor VitaePei WangAuthor Vitae 《Government Information Quarterly》2013
The purpose of this research is to investigate the current state and trend of government website information cited by social science and humanities (SS&H) journal articles in China. The Chinese Social Science Citation Index (CSSCI) was used as the benchmark and the Social Science Citation Index (SSCI) journals as the reference samples. It analyzed 204,019 web citations (N = 5,063,237) found in 925,506 articles that were published in CSSCI journals during the 1998–2009 period. The findings unveil that web citations accounted for only 4.03% of the total number of citations (N = 5,063,237), and that citations of Chinese government websites constituted 6.6% of the total number of web citations (N = 204,019). The study disclosed detailed information regarding citations derived from ministries and commissions directly under the State Council websites (N = 69), government online media (N = 7), government website citation subjects (N = 21), and various types of government website information (N = 5). Although government website information has limited influence on SS&H, their impact is currently growing rapidly. In comparison with international research community, influence of government web information on Chinese social science is higher, while its influence on humanities is lower. Essentially, Chinese scholars put emphasis on citing information from authoritative central government websites or highly visible state-owned media information as supporting evidences in their articles. In general, the citation of information from Chinese government website tends to hot social issues of society. Finally, it is necessary to promote the visibility of local government websites, to develop policies and guidelines to encourage the disclosure and the diversity of data, so that there will be more citation balances between social and technological topics. 相似文献
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《Journal of Informetrics》2020,14(1):100998
Biomedical research encompasses diverse types of activities, from basic science (“bench”) to clinical medicine (“bedside”) to bench-to-bedside translational research. It, however, remains unclear whether different types of research receive citations at varying rates. Here we aim to answer this question by using a newly proposed paper-level indicator that quantifies the extent to which a paper is basic science or clinical medicine. Applying this measure to 5 million biomedical papers, we find a systematic citation disadvantage of clinical oriented papers; they tend to garner far fewer citations and are less likely to be hit works than papers oriented towards basic science. At the same time, clinical research has a higher variance in its citation. We also find that the citation difference between basic and clinical research decreases, yet still persists, if longer citation-window is used. Given the increasing adoption of short-term, citation-based bibliometric indicators in funding decisions, the under-cited effect of clinical research may provide disincentives for bio-researchers to venture into the translation of basic scientific discoveries into clinical applications, thus providing explanations of reasons behind the existence of the gap between basic and clinical research that is commented as “valley of death” and the commentary of “extinction” risk of translational researchers. Our work may provide insights to policy-makers on how to evaluate different types of biomedical research. 相似文献
18.
JCR 5年期影响因子实证分析 总被引：1，自引：0，他引：1
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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