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1.
SCI期刊等级区别的划分及其中国论文的分布 总被引：16，自引：1，他引：15
本文讨论了关于划分ＳＣＩ期刊等级区域的基本思考及其意义,提出了划分ＳＣＩ期刊等级区域的方法以及对不同等级区域赋以分值的设计,统计了中国科技论文在ＳＣＩ期刊等级区域中的分布,以发表论文最多的前１０名高等院校和科研院所为案例进行了论文量排序和分值排序的对比试验。 相似文献
2.
This study examines if and how gender relates to research evaluation via panel assessment and journal ratings lists. Using data from UK business schools we find no evidence that the proportion of women in a submission for panel assessment affected the score received by the submitting institution. However, we do find that women on average receive lower scores according to some journal ratings lists. There are important differences in the rated quality of journals that men and women publish in across the sub-disciplines with men publishing significantly more research in the highest rated accountancy, information management and strategy journals. In addition, women who are able to utilise networks to co-author with individuals outside their institution are able to publish in higher-rated journals, although the same is not true for men; women who are attributed with “individual staff circumstances” (e.g. maternity leave or part-time working) have lower scores according to journal ratings lists. 相似文献
3.
Most existing research on applying machine learning techniques to document summarization explores either classification models or learning-to-rank models. This paper presents our recent study on how to apply a different kind of learning models, namely regression models, to query-focused multi-document summarization. We choose to use Support Vector Regression (SVR) to estimate the importance of a sentence in a document set to be summarized through a set of pre-defined features. In order to learn the regression models, we propose several methods to construct the “pseudo” training data by assigning each sentence with a “nearly true” importance score calculated with the human summaries that have been provided for the corresponding document set. A series of evaluations on the DUC data sets are conducted to examine the efficiency and the robustness of the proposed approaches. When compared with classification models and ranking models, regression models are consistently preferable. 相似文献
4.
【目的】考察出版单位编辑学论文的发表情况,从而探讨出版单位编辑学研究水平与其办刊质量的关系。【方法】 检索CNKI数据库2012—2014年《中国科技期刊研究》和《编辑学报》的文章,对参与发文的期刊出版单位的发文量进行统计和排序,得出发文量排名前10的单位,另外抽样只参与发表1篇论文的期刊出版单位,对二者办刊质量的相关指标,包括拥有期刊数、国内外重要数据库收录情况、影响因子变化、复合总被引频次、复合即年指标、Web即年下载率和总下载频次等进行比较分析。【结果】在这两刊上参与发表编辑学论文较多、编辑学研究水平较高的单位大部分旗下拥有多种期刊,有较多期刊被国内外重要数据库收录,并且旗下大部分期刊近两年的影响因子处于上升趋势,相关评价指标均优于发文较少的单位。【结论】出版单位开展编辑学研究活动可以促进编辑水平提高,促进出版单位建设,促进期刊外部发展环境优化,最终共同促进办刊质量提高。 相似文献
5.
This paper presents a data envelopment analysis (DEA)/Malmquist index methodology for measuring the change in R&D efficiency at both firm and industry levels. Letting each of ten firms in each year be a separate decision-making unit, and employing one input and three outputs in a DEA case of R&D activity input-output lag, we measure “total factor R&D efficiency” change of Japanese pharmaceutical firms for decade 1983-1992 as defined by the period of R&D input. Decomposing Malmquist index into catch-up and frontier shift components and using “cumulative indices” proposed in this study, we evaluate R&D efficiency change for each firm and empirically show that R&D efficiency of Japanese pharmaceutical industry has almost monotonically gotten worse throughout the study decade. 相似文献
6.
This paper considers the use of the h-index as a measure of a journal’s research quality and contribution. We study a sample of 455 journals in business and management all of which are included in the ISI Web of Science (WoS) and the Association of Business School’s peer review journal ranking list. The h-index is compared with both the traditional impact factors, and with the peer review judgements. We also consider two sources of citation data – the WoS itself and Google Scholar. The conclusions are that the h-index is preferable to the impact factor for a variety of reasons, especially the selective coverage of the impact factor and the fact that it disadvantages journals that publish many papers. Google Scholar is also preferred to WoS as a data source. However, the paper notes that it is not sufficient to use any single metric to properly evaluate research achievements. 相似文献
7.
Sustainability oriented innovation and technology studies have received increasing attention over the past 10-15 years. In particular, a new field dealing with “sustainability transitions” has gained ground and reached an output of 60-100 academic papers per year. In this article, we aim to identify the intellectual contours of this emerging field by conducting a review of basic conceptual frameworks, together with bibliographical analysis of 540 journal articles in the field. It is against this background that we position the six papers assembled in a special section in Research Policy. These papers pave the way for new conceptual developments and serve as stepping-stones in the maturation of sustainability transition studies, by linking with the scholarly literatures of management studies, sociology, policy studies, economic geography, and modeling. 相似文献
8.
This paper focuses on the role of capabilities in economic development. In recent years, the quality and availability of data on different aspects of development have improved, and this provides new opportunities for investigating the reasons behind the large differences in economic development. Using factor analysis on data for 25 indicators and 115 countries between 1992 and 2004, we identify four different types of “capabilities”: the development of the “innovation system”, the quality of “governance”, the character of the “political system” and the degree of “openness” of the economy. Innovation systems and governance are shown to be of particular importance for economic development. 相似文献
9.
How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management 总被引：1，自引：0，他引：1
Ismael Rafols Loet LeydesdorffAlice O’Hare Paul NightingaleAndy Stirling 《Research Policy》2012,41(7):1262-1282
This study provides quantitative evidence on how the use of journal rankings can disadvantage interdisciplinary research in research evaluations. Using publication and citation data, it compares the degree of interdisciplinarity and the research performance of a number of Innovation Studies units with that of leading Business & Management Schools (BMS) in the UK. On the basis of various mappings and metrics, this study shows that: (i) Innovation Studies units are consistently more interdisciplinary in their research than Business & Management Schools; (ii) the top journals in the Association of Business Schools’ rankings span a less diverse set of disciplines than lower-ranked journals; (iii) this results in a more favourable assessment of the performance of Business & Management Schools, which are more disciplinary-focused. This citation-based analysis challenges the journal ranking-based assessment. In short, the investigation illustrates how ostensibly ‘excellence-based’ journal rankings exhibit a systematic bias in favour of mono-disciplinary research. The paper concludes with a discussion of implications of these phenomena, in particular how the bias is likely to affect negatively the evaluation and associated financial resourcing of interdisciplinary research organisations, and may result in researchers becoming more compliant with disciplinary authority over time. 相似文献
10.
A fast and efficient page ranking mechanism for web crawling and retrieval remains as a challenging issue. Recently, several link based ranking algorithms like PageRank, HITS and OPIC have been proposed. In this paper, we propose a novel recursive method based on reinforcement learning which considers distance between pages as punishment, called “DistanceRank” to compute ranks of web pages. The distance is defined as the number of “average clicks” between two pages. The objective is to minimize punishment or distance so that a page with less distance to have a higher rank. Experimental results indicate that DistanceRank outperforms other ranking algorithms in page ranking and crawling scheduling. Furthermore, the complexity of DistanceRank is low. We have used University of California at Berkeley’s web for our experiments. 相似文献
11.
The impact of the existence and nature of multi-authorship on the visibility of research results is a relevant issue in the framework of the monitoring and evaluation of scientific performance. Multi-authorship involving researchers from different institutions is a growing trend typical of today’s social, economic and political development and an expression of the so-called “internationalization of science”. This paper analyzes how the establishment of scientific relationships and the local or international nature of such relationships affect the visibility of the research results published by the community of researchers affiliated with Puerto Rican institutions. Multi-dimensional indicators and multivariate analysis techniques, specifically Factorial Correspondence Analysis (FCA), were used to analyze and represent the visibility of the papers published in mainstream scientific journals. The results of the study show that the establishment and furtherance of local and international co-authorship favour the visibility of the papers published and consequently can be regarded to be a valid strategy in the context of the research and development effort in Puerto Rico. 相似文献
12.
The Leiden methodology (LM), also sometimes called the “crown indicator”, is a quantitative method for evaluating the research quality of a research group or academic department based on the citations received by the group in comparison to averages for the field. There have been a number of applications but these have mainly been in the hard sciences where the data on citations, provided by the ISI Web of Science (WoS), is more reliable. In the social sciences, including business and management, many journals and books are not included within WoS and so the LM has not been tested here. In this research study the LM has been applied on a dataset of over 3000 research publications from three UK business schools. The results show that the LM does indeed discriminate between the schools, and has a degree of concordance with other forms of evaluation, but that there are significant limitations and problems within this discipline. 相似文献
13.
This introductory essay reviews the key contributions of David Teece's landmark paper “Profiting from Innovation” published in research policy in 1986. It summarises the contributions of each of the papers in the special issue. It then offers some perspectives on the key themes emerging from these papers, and on the broader challenges facing researchers, strategists and policymakers in the field of technology innovation today. 相似文献
14.
Innovation modes in the Swiss service sector: a cluster analysis based on firm-level data 总被引：1，自引：0，他引：1
Heinz Hollenstein 《Research Policy》2003,32(5):845-863
The aim of this paper is, firstly, to contribute to the understanding of innovation patterns in services. To this end, firms which are similar in terms of a large set of innovation indicators were grouped into clusters. For the Swiss case, it was possible to identify five clusters which exhibit clearly different configurations of a large number of innovation-related factors (appropriability, etc.) and several structural properties of firms (size, etc.). The clusters may thus be interpreted as specific “innovation modes”. Secondly, we investigated whether these modes are “economically equivalent”. In such a case, the unordered classifying of similar firms would be more appropriate than the ranking of industries according to their innovativeness. The evidence supports the classification approach quite well; however, the ranking procedure cannot be completely refuted. Finally, this paper yields some insights into the differences between the innovation patterns prevailing in services and in manufacturing. 相似文献
15.
This paper is concerned with the quality of training data in learning to rank for information retrieval. While many data selection techniques have been proposed to improve the quality of training data for classification, the study on the same issue for ranking appears to be insufficient. As pointed out in this paper, it is inappropriate to extend technologies for classification to ranking, and the development of novel technologies is sorely needed. In this paper, we study the development of such technologies. To begin with, we propose the concept of “pairwise preference consistency” (PPC) to describe the quality of a training data collection from the ranking point of view. PPC takes into consideration the ordinal relationship between documents as well as the hierarchical structure on queries and documents, which are both unique properties of ranking. Then we select a subset of the original training documents, by maximizing the PPC of the selected subset. We further propose an efficient solution to the maximization problem. Empirical results on the LETOR benchmark datasets and a web search engine dataset show that with the subset of training data selected by our approach, the performance of the learned ranking model can be significantly improved. 相似文献
16.
科技期刊论文低被引情况与探讨 总被引：1，自引：1，他引：0
【目的】从低被引论文所占比例及分布情况出发考察期刊学术质量,呼吁编辑同行做引文分析时可适当关注低被引论文情况,以期全方位认识刊物存在的问题。【方法】 选取零被引率、一次被引率、一次被引率减零被引率、二次被引率减一次被引率4种指标,定量考察光电类期刊、电子通信类期刊、工程技术综合类高校学报的载文低被引情况,同时将其和主流正向指标进行比较,发现二者排名并非一致。【结果】 我国科技期刊普遍存在低被引论文所占比例高的现象,收稿范围越大类别的期刊问题越突出,且反向考察期刊论文低被引情况能对正向指标表征的期刊评价信息予以补充。【结论】科技期刊编辑可从低被引论文所占比例、指标历年变化趋势、被引次数分布等几方面对期刊现状予以关注。 相似文献
17.
[目的/意义]探讨期刊论文被引频次离散系数与影响因子的关系有利于深化文献计量研究,对于学术期刊评价也具有积极意义。[方法/过程]以CSSCI经济学期刊为例,基于中国知网的引文数据库,采用回归分析研究了两者之间的关系。[结果/结论]论文质量差异是期刊论文被引频次离散系数差异的原因;期刊论文被引频次离散系数与影响因子负相关;期刊论文被引频次离散系数与影响因子之间呈U型曲线;条件成熟时可以将期刊论文被引频次离散系数作为期刊评价指标;对于其他学科期刊论文被引频次离散系数与影响因子的关系有待进一步研究。 相似文献
18.
Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, we employ new methods for automatic ranking of retrieval systems. In these methods, we merge the retrieval results of multiple systems using various data fusion algorithms, use the top-ranked documents in the merged result as the “(pseudo) relevant documents,” and employ these documents to evaluate and rank the systems. Experiments using Text REtrieval Conference (TREC) data provide statistically significant strong correlations with human-based assessments of the same systems. We hypothesize that the selection of systems that would return documents different from the majority could eliminate the ordinary systems from data fusion and provide better discrimination among the documents and systems. This could improve the effectiveness of automatic ranking. Based on this intuition, we introduce a new method for the selection of systems to be used for data fusion. For this purpose, we use the bias concept that measures the deviation of a system from the norm or majority and employ the systems with higher bias in the data fusion process. This approach provides even higher correlations with the human-based results. We demonstrate that our approach outperforms the previously proposed automatic ranking methods. 相似文献
19.
Toward alternative metrics of journal impact: A comparison of download and citation data 总被引：2，自引：0，他引：2
We generated networks of journal relationships from citation and download data, and determined journal impact rankings from these networks using a set of social network centrality metrics. The resulting journal impact rankings were compared to the ISI IF. Results indicate that, although social network metrics and ISI IF rankings deviate moderately for citation-based journal networks, they differ considerably for journal networks derived from download data. We believe the results represent a unique aspect of general journal impact that is not captured by the ISI IF. These results furthermore raise questions regarding the validity of the ISI IF as the sole assessment of journal impact, and suggest the possibility of devising impact metrics based on usage information in general. 相似文献
20.
Computer science is a relatively young discipline combining science, engineering, and mathematics. The main flavors of computer science research involve the theoretical development of conceptual models for the different aspects of computing and the more applicative building of software artifacts and assessment of their properties. In the computer science publication culture, conferences are an important vehicle to quickly move ideas, and journals often publish deeper versions of papers already presented at conferences. These peculiarities of the discipline make computer science an original research field within the sciences, and, therefore, the assessment of classical bibliometric laws is particularly important for this field. In this paper, we study the skewness of the distribution of citations to papers published in computer science publication venues (journals and conferences). We find that the skewness in the distribution of mean citedness of different venues combines with the asymmetry in citedness of articles in each venue, resulting in a highly asymmetric citation distribution with a power law tail. Furthermore, the skewness of conference publications is more pronounced than the asymmetry of journal papers. Finally, the impact of journal papers, as measured with bibliometric indicators, largely dominates that of proceeding papers. 相似文献