《经济与管理研究》学术影响力的文献计量学分析

本文运用文献计量学的方法,利用“CNKI”及“CSSCI”,调查统计了《经济与管理研究》2000～2012年间文献载文量、下载量、各年被引量及主题分布情况,从而揭示了该刊整体水平,研究其在经济管理学领域中的地位和学术影响力.     

秘书学论文参考文献引用情况统计分析——以《秘书》近五年载文为例

参考文献和引文注释(以下简称"引文")是反映学术动向和理论来源的基本线索。本文运用文献计量学原理,对《秘书》近五年(2008—2012年)载文(不包括"八面来风""文化广场""艺术长廊""编读热线"等栏目的文章)的文献引用情况进行统计分析,定量描述该刊的引文数量、引文载体类型、引文学科领域、引文年     

《中国图书馆学报》载文作者群统计分析

运用文献计量学方法对《中国图书馆学报》杂志2004-2008年载文作者群进行统计分析,包括作者群的地域、单位分布、核心作者及论文合著率等,揭示刊物发展规律,为该刊今后的作者队伍建设和发展提供参考。     

2011年《情报科学》的文献计量学分析

运用文献计量学方法,对2011年《情报科学》载文、基金资助、作者和引文等方面进行统计分析,并与《情报科学》近几年的有关数据做对比,以期能帮助读者了解该刊,并为该刊今后的发展提供参考数据。     

《会计研究》三十年论文质量评价——基于《中国知网》引证文献的统计分析

通过对《会计研究》1980年创刊号始至2009年末期30年间发表的学术论文总体被引用状况的统计,描述了该刊三十年发表论文被引状况的分布及在不同时期的变化规律;通过对发表论文被引频率的排名及统计分析,获得在该刊发表的本学科优秀论文和活跃作者及任职机构;通过对论文作者单位的分析,发现该刊论文作者分布服从Lotka分布。结论表明,《会计研究》30年来发表的论文总体上反映了中国会计研究的历史发展,代表了各个年代中国会计研究的相应学术水平。     

2004-2008年图书馆、情报与文献学期刊论文与引文统计分析

本文通过对2004—2008年《南京大学CSSCI来源核心期刊》的”图书馆、情报与文献学”20种期刊的裁文、引文和作者以及被引情况进行统计与分析,研究其载文特点、引文特点与作者特点。     

我国回族研究引用期刊文献计量分析

以我国唯一的全方位研究回族历史文化及社会主义时期回族问题的学术性期刊——《回族研究》2001-2010年引用期刊文献的统计数据为蓝本,从引用频次、引用期刊种类、引用论文的学科发布及著者发布等方面,从文献计量学视角,进行了统计与分析。     

近十年来我国制造工艺研究现状

为了进一步了解近十年来我国制造工艺的研究现状、研究水平和发展趋势,挖掘我国制造工艺发展的优势与潜力,促进我国经济社会的发展,本文利用文献计量学相关知识,以2012年6月30日的《中国知网》的《中国引文数据库》和《中国期刊全文数据库》提供的数据为调查统计源,以"制造工艺"为篇名,采取模糊匹配检索的方式,对2000年以来发表有关制造工艺研究论文的数量及被引用的情况进行统计分析,现将结果报告如下:     

《物流技术》杂志各项期刊评价指标位居本学科首位

据由科学出版社最新出版的《中国学术期刊综合引证报告》2005年版提供的数字,由中国物流生产力促进中心主办的《物流技术》杂志,在影响因子、即年指标、5年影响因子、总被引频次等各项评价指标位居本学科首位。利用《中国学术期刊综合引证报告》所提供的数据,人们可以了解期刊的引用和被引用情况,分析期刊的相互影响和相互作用,评价期刊在科学交流中的地位和作用。给每一种期刊一个合理、公正、量化的客观评价,有利于我国期刊事业整体的繁荣和发展。《物流技术》杂志各项期刊评价指标位居本学科首位     

2000年-2005年三大文摘经济史类载文特点分析——以文科学报经济史类文章转载、收录为视角

文章根据2000年-2005年6年间,《新华文摘》、《中国社会科学文摘》、《高等学校文科学术文摘》三大文摘刊物经济史类载文及论点收录情况,对其转载量、载文的时段、区域分布和载文在史学研究领域的特点进行分析,以期为经济类学报、刊物的采稿和编辑工作提供借鉴,乃至对相关学科教学、研究有所裨益.     

从SCI论文统计分析看陕西的科研发展

利用科学引文索引数据库扩展版(Science Citation Index Expanded),从不同方面对陕西2009-2013年被SCI-E收录的论文进行统计分析,从文献计量学角度揭示陕西科研的发展状况。     

基于知识图谱分析干细胞研究现状及发展方向

本文以2000—2011年作为时间范围,对外文数据库(ISI)的Web of science数据库进行检索,获取有关干细胞研究的多篇论文,对其进行引文分析、共现分析,运用国际知名绘图软件Pajek,利用被引频次较高的文献绘制出干细胞研究的国家与机构分布、热点及其变化趋势的知识图谱,在可视化知识图谱的基础上对干细胞的发展现状及发展趋势进行分析,为中国的干细胞研究提出建议。     

Increasing the Impact of Heterodox Work: Insights from RoSE

To help understand what enhances the prospects for heterodox work to have strong research impact, this article analyzes the pool of articles published in the Review of Social Economy in the past 15 years, aiming to identify what differentiates well‐cited articles from others. Well‐cited papers tend to be in areas of core concern in social economics (labor, health, social theory) and attract attention in related social sciences and policy fields. Yet about half the articles published in RoSE are not cited in another scholarly journal within three years of publication, suggesting that, as well done and interesting as these papers may be, problems like narrow focus seem to limit their influence on other people's work. The article's results suggest that increasing the impact of heterodox work requires articles to be interesting and accessible to intentionally broad audiences, and to prompt people to change their thinking. Better still if they open up channels of communication between diverse communities of scholars that are likely to be sustained.     

On the relation between intellectual collaboration and intellectual output: Evidence from the finance academe

This paper tests the relation between intellectual collaboration and the quality of the intellectual output using academic papers published in prestigious finance journals during 1988–2005. We use the number of authors of a paper to measure the extent of intellectual collaboration and the number of citations that a paper receives (adjusted by the number of years since the paper's publication) as a measure of its intellectual value. Based on empirical tests, we find that papers with more authors are cited more often. This relation does not hold for purely theoretical papers. Coauthoring with a prolific author leads to higher quality papers, but coauthoring with colleagues at the same institution leads to neither higher nor lower quality papers. Papers with four authors are cited most often. Overall, when it comes to intellectual collaboration, our results counter the notion that “too many cooks spoil the broth.”     

RENT-SEEKING: VALUING TULLOCK'S REJECTS

This paper demonstrates that Gordon Tullock's articles on rent seeking continue to be cited, often far more frequently than the papers which journals chose to publish when they rejected Tullock's submissions.     

BANKING SECTOR PERFORMANCE,PROFITABILITY, AND EFFICIENCY: A CITATION-BASED SYSTEMATIC LITERATURE REVIEW

This study presents a citation-based systematic literature review on banking sector performance, particularly in terms of profitability, productivity, and efficiency. Specifically, the study aims to identify the leading sources of knowledge in terms of the most influential journals, authors, and papers. The paper presents a content analysis of the 100 most cited papers. In total, 1996 peer-review papers were found relevant in the Scopus database by using a comprehensive list of keywords. The results show that the Journal of Banking & Finance appears to be the leading journal in terms of publication count and citations. Based on total citations, Allen Berger is the most prolific author. The most cited paper is “Problem loans and cost efficiency in commercial banks” by Allan Berger and Robert DeYoung. The content analysis of the top 100 papers identifies five essential themes: determinants of efficiency, methodology, ownership, financial crises, and scale economies. In terms of estimation approaches, 74% of papers employed frontier analysis, which includes 34% parametric and 40% nonparametric methods, and remaining 26% have used financial ratio analysis. Additionally, stochastic frontier and data envelopment analysis are widely used in parametric and nonparametric methods, respectively. An intermediate approach is extensively adopted for the specification of inputs and outputs.     

Recent developments in financial economics and econometrics: An overview

Research papers in empirical finance and financial econometrics are among the most widely cited, downloaded and viewed articles in the discipline of Finance. The special issue presents several papers by leading scholars in the field on “Recent Developments in Financial Economics and Econometrics”. The breadth of coverage is substantial, and includes original research and comprehensive review papers on theoretical, empirical and numerical topics in Financial Economics and Econometrics by leading researchers in finance, financial economics, financial econometrics and financial statistics. The purpose of this special issue on “Recent Developments in Financial Economics and Econometrics” is to highlight several novel and significant developments in financial economics and financial econometrics, specifically dynamic price integration in the global gold market, a conditional single index model with local covariates for detecting and evaluating active management, whether the Basel Accord has improved risk management during the global financial crisis, the role of banking regulation in an economy under credit risk and liquidity shock, separating information maximum likelihood estimation of the integrated volatility and covariance with micro-market noise, stress testing correlation matrices for risk management, whether bank relationship matters for corporate risk taking, with evidence from listed firms in Taiwan, pricing options on stocks denominated in different currencies, with theory and illustrations, EVT and tail-risk modelling, with evidence from market indices and volatility series, the economics of data using simple model free volatility in a high frequency world, arbitrage-free implied volatility surfaces for options on single stock futures, the non-uniform pricing effect of employee stock options using quantile regression, nonlinear dynamics and recurrence plots for detecting financial crisis, how news sentiment impacts asset volatility, with evidence from long memory and regime-switching approaches, quantitative evaluation of contingent capital and its applications, high quantiles estimation with Quasi-PORT and DPOT, with an application to value-at-risk for financial variables, evaluating inflation targeting based on the distribution of inflation and inflation volatility, the size effects of volatility spillovers for firm performance and exchange rates in tourism, forecasting volatility with the realized range in the presence of noise and non-trading, using CARRX models to study factors affecting the volatilities of Asian equity markets, deciphering the Libor and Euribor spreads during the subprime crisis, information transmission between sovereign debt CDS and other financial factors for Latin America, time-varying mixture GARCH models and asymmetric volatility, and diagnostic checking for non-stationary ARMA models with an application to financial data.     

Ranking journal quality by harmonic mean of ranks: an application to ISI statistics & probability

As the preponderance of journal rankings becomes increasingly more frequent and prominent in academic decision making, such rankings in broad discipline categories is taking on an increasingly important role. The paper focuses on the robustness of rankings of academic journal quality and research impact using the widely‐used Thomson Reuters ISI Web of Science citations database (ISI) for the Statistics & Probability category. The paper analyses 110 ISI international journals in Statistics & Probability using quantifiable research assessment measures (RAMs), and highlights the similarities and differences in various RAMs, which are based on alternative transformations of citations and influence. Alternative RAMs may be calculated annually or updated daily to determine when, where and how (frequently) published papers are cited (see Chang, McAleer and Oxley (2011a, b, c) , Chang, Maasoumi and McAleer (2012) ). The RAMs are grouped in four distinct classes that include impact factor, mean citations and non‐citations, journal policy, number of high quality papers, and journal influence and article influence. These classes include the most widely used RAMs, namely the classic 2‐year impact factor including journal self citations (2YIF), 2‐year impact factor excluding journal self citations (2YIF^*), 5‐year impact factor including journal self citations (5YIF), Eigenfactor (or Journal Influence), Article Influence, h‐index, PI‐BETA (Papers Ignored – By Even The Authors), 5YD2 (= 5YIF/2YIF) as a measure of citations longevity, and escalating self citations as a measure of increasing journal self citations. The paper highlights robust rankings based on the harmonic mean of the ranks of RAMs across the 4 classes. It is shown that focusing solely on the 2YIF of a journal, which partly answers the question as to when published papers are cited, to the exclusion of other informative RAMs, which answer where and how (frequently) published papers are cited, can lead to a distorted evaluation of journal quality, impact and influence relative to the more robust harmonic mean of the ranks.     

Big data technology: developments in current research and emerging landscape

In this study, big data studies (01/2015–6/2018) are reviewed and several highly cited papers are identified, which indicates a growing interest in the area of big data. The papers and proceedings from international peer-reviewed journals and ranked conferences were reviewed. We employed Principal component analysis and citation and co-citation analysis to identify themes of research emanating from these studies. Citation and co-citation analysis reveals that there is cross-functional nature of big data research, which permeates different business sectors and is influenced by themes in engineering and information management.