Publication Trends in Physics Education: A Bibliometric study

A publication trend in Physics Education by employing bibliometric analysis leads the researchers to describe current scientific movement. This paper tries to answer "What do Physics education scientists concentrate in their publications?" by analyzing the productivity and development of publications on the subject category of Physics Education in the period 1980--2013. The Web of Science databases in the research areas of "EDUCATION - EDUCATIONAL RESEARCH" was used to extract the publication trends. The study involves 1360 publications, including 840 articles, 503 proceedings paper, 22 reviews, 7 editorial material, 6 Book review, and one Biographical item. Number of publications with "Physical Education" in topic increased from 0.14 % (n = 2) in 1980 to 16.54 % (n = 225) in 2011. Total number of receiving citations is 8071, with approximately citations per papers of 5.93. The results show the publication and citations in Physic Education has increased dramatically while the Malaysian share is well ranked

The Open Research Web: A Preview of the Optimal and the Inevitable

The multiple online research impact metrics we are developing will allow the rich new database , the Research Web, to be navigated, analyzed, mined and evaluated in powerful new ways that were not even conceivable in the paper era – nor even in the online era, until the database and the tools became openly accessible for online use by all: by researchers, research institutions, research funders, teachers, students, and even by the general public that funds the research and for whose benefit it is being conducted: Which research is being used most? By whom? Which research is growing most quickly? In what direction? under whose influence? Which research is showing immediate short-term usefulness, which shows delayed, longer term usefulness, and which has sustained long-lasting impact? Which research and researchers are the most authoritative? Whose research is most using this authoritative research, and whose research is the authoritative research using? Which are the best pointers (“hubs”) to the authoritative research? Is there any way to predict what research will have later citation impact (based on its earlier download impact), so junior researchers can be given resources before their work has had a chance to make itself felt through citations? Can research trends and directions be predicted from the online database? Can text content be used to find and compare related research, for influence, overlap, direction? Can a layman, unfamiliar with the specialized content of a field, be guided to the most relevant and important work? These are just a sample of the new online-age questions that the Open Research Web will begin to answer

World-Leading Research and its Measurement

Journalists and others have asked me whether the favourable RAE 2008 results for UK economics are believable. This is a fair question. It also opens up a broader and more important one: how can we design a bibliometric method to assess the quality (rather than merely quantity) of a nation’s science? To try to address this, I examine objective data on the world’s most influential economics articles. I find that the United Kingdom performed reasonably well over the 2001-2008 period. Of 450 genuinely world-leading journal articles, the UK produced 10% of them -- and was the source of the most-cited article in each of the Journal of Econometrics, the International Economic Review, the Journal of Public Economics, and the Rand Journal of Economics, and of the second most-cited article in the Journal of Health Economics. Interestingly, more than a quarter of these world-leading UK articles came from outside the best-known half-dozen departments. Thus the modern emphasis on ‘top’ departments and the idea that funding should be concentrated in a few places may be mistaken. Pluralism may help to foster iconoclastic ideas.Science ; evaluation ; peer-review ; citations ; research assessment exercise.

A Suggested Method for the Measurement of World-Leading Research (Illustrated with Data on Economics)

Countries often spend billions on university research. There is growing interest in how to assess whether that money is well spent. Is there an objective way to assess the quality of a nation's world-leading science? I attempt to suggest a method, and illustrate it with modern data on economics. Of 450 genuinely world-leading journal articles, the UK produced 10%, and the rest of Europe slightly more. Interestingly, more than a quarter of these elite UK articles came from outside the best-known university departments. The proposed methodology could be applied to almost any academic discipline or nation.Research Excellence Framework (REF), peer-review, United Kingdom, European economics, evaluation, science, citations, Research Assessment Exercise (RAE)

Does a long reference list guarantee more citations? Analysis of Malaysian highly cited and review pPapers

Earlier publications have shown that the number of references as well as the number of received citations are field-dependent. Consequently, a long reference list may lead to more citations. The purpose of this article is to study the concrete relationship between number of references and citation counts. This article tries to find an answer for the concrete case of Malaysian highly cited papers and Malaysian review papers. Malaysian paper is a paper with at least one Malaysian affiliation. A total of 2466 papers consisting of two sets, namely 1966 review papers and 500 highly-cited articles, are studied. The statistical analysis shows that an increase in the number of references leads to a slight increase in the number of citations. Yet, this increase is not statistically significant. Therefore, a researcher should not try to increase the number of received citations by artificially increasing the number of references

Predicting the long-term citation impact of recent publications

A fundamental problem in citation analysis is the prediction of the long-term citation impact of recent publications. We propose a model to predict a probability distribution for the future number of citations of a publication. Two predictors are used: The impact factor of the journal in which a publication has appeared and the number of citations a publication has received one year after its appearance. The proposed model is based on quantile regression. We employ the model to predict the future number of citations of a large set of publications in the field of physics. Our analysis shows that both predictors (i.e., impact factor and early citations) contribute to the accurate prediction of long-term citation impact. We also analytically study the behavior of the quantile regression coefficients for high quantiles of the distribution of citations. This is done by linking the quantile regression approach to a quantile estimation technique from extreme value theory. Our work provides insight into the influence of the impact factor and early citations on the long-term citation impact of a publication, and it takes a step toward a methodology that can be used to assess research institutions based on their most recently published work.Comment: 17 pages, 17 figure