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

Global Maps of Science based on the new Web-of-Science Categories

In August 2011, Thomson Reuters launched version 5 of the Science and Social Science Citation Index in the Web of Science (WoS). Among other things, the 222 ISI Subject Categories (SCs) for these two databases in version 4 of WoS were renamed and extended to 225 WoS Categories (WCs). A new set of 151 Subject Categories (SCs) was added, but at a higher level of aggregation. Since we previously used the ISI SCs as the baseline for a global map in Pajek (Rafols et al., 2010) and brought this facility online (at http://www.leydesdorff.net/overlaytoolkit), we recalibrated this map for the new WC categories using the Journal Citation Reports 2010. In the new installation, the base maps can also be made using VOSviewer (Van Eck & Waltman, 2010).Comment: Scientometrics, in pres

The Development of China’s Scholarly Publications in Library and Information Science, 1979-2009: An Analysis of ISI Literature

Purpose – No scholarly publications have systematically studied the evolution and growth of China's scientific papers of library and information science published in the English language and covered by ISI during the reform era starting in 1979. It is intended that this paper should fill this gap. Design/methodology/approach – This study surveys ISI library and information science papers authored by researchers of China during 1979-2009 and quantitatively presents the development of scholarly publications authored by researchers from China. A total of 30 years of data of ISI literature are collected and analyzed, and the paper conducts an international comparison of research productivity among leading Asian countries. Findings – The paper establishes the patterns and trends of papers authored by Chinese authors, particularly the top subject areas and top journals in which Chinese papers are highly represented. Besides, the paper makes an international comparison between China and other major Asian countries such as India, Japan, and Korea in terms of library and information science research outputs represented in ISI literature. China has become the leader in terms of research productivity of library and information science. Research limitations/implications – This study focuses on English-language journal articles only. Only journals meeting ISI inclusion criteria are reviewed and analyzed. The possible accidentally inaccurate entries in the original ISI data have not been checked for accuracy and consistency for each journal article record. Originality/value – The paper provided an example of using the powerful ISI databases of citation indexes, particularly ISI SCCI, in a cautious and critical way. It empirically presents the overall upward development of China's scholarship of library and information science. Either the Greater China area as a whole or Mainland China alone has become the leader in the scholarly publications in library and information ahead of India, Korea and Japan

The skewness of science in 219 sub-fields and a number of aggregates

This paper studies evidence from Thomson Scientific about the citation process of 3.7 million articles published in the period 1998-2002 in 219 Web of Science categories, or sub-fields. Reference and citation distributions have very different characteristics across sub-fields. However, when analyzed with the Characteristic Scores and Scales technique, which is replication and scale invariant, the shape of these distributions over three broad categories of articles appears strikingly similar. Reference distributions are mildly skewed, but citation distributions with a five-year citation window are highly skewed: the mean is twenty points above the median, while 9-10% of all articles in the upper tail account for about 44% of all citations. The aggregation of sub-fields into disciplines and fields according to several aggregation schemes preserve this feature of citation distributions. It should be noted that when we look into subsets of articles within the lower and upper tails of citation distributions the universality partially breaks down. On the other hand, for 140 of the 219 sub-fields the existence of a power law cannot be rejected. However, contrary to what is generally believed, at the sub-field level the scaling parameter is above 3.5 most of the time, and power laws are relatively small: on average, they represent 2% of all articles and account for 13.5% of all citations. The results of the aggregation into disciplines and fields reveal that power law algebra is a subtle phenomenon.

The nature and trends of agricultural research development in Africa : an informetric study

The study recognizes Agriculture as the mainstay activity of most economies in Africa and analyses research nature and trends in the discipline by using descriptive informetrics and focusing on seven indicators, by using the AGRICOLA and ISI-E databases from 1991 to 2005. We observed that research output in the discipline is much higher in South Africa and Kenya, and research collaboration is greater than non-collaborative research output and collaboration is less among African countries. The most popular research domains were found to exist in environmental science, soil science, plant/crop production and [agricultural] economics. Helpful conclusions and recommendations for an Agricultural policy, capacity and research orientation have been made

Editor’s Note

The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI (ISSN 1989 - 1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence (AI) tools or tools that use AI with interactive multimedia techniques. After its recent tenth anniversary, the journal has achieved an important milestone. From 2015 to 2018 IJIMAI was indexed at Web of Science through Emerging Science Citation Index. This meant a great increase in visibility and number of received papers. This year, Clarivate Analytics has accepted the inclusion of IJIMAI in the Journal Citation Reports. Specifically, IJIMAI is being indexed and abstracted in Science Citation Index Expanded, Journal Citation Reports/Science Edition and Current Contents®/Engineering Computing and Technology. The Web of Science Categories in which IJIMAI is included are “Computer Science, Artificial Intelligence” and “Computer Science, Interdisciplinary Applications”. This way, IJIMAI is indexed in Science Citation Index Expanded beginning with vol.4(3) March 2017 so that the journal will be listed in the 2019 Journal Citation Reports with a Journal Impact Factor when released in June 2020. Given this great achievement, IJIMAI Editorial Board has to thank authors for all the papers sent and all the papers published, as well as reviewers for their support to obtain high-quality in papers, and specially our readers because without them this milestone would not have been possible. The present regular issue includes research works based on different AI methods such as convolutional neural networks, genetic algorithms, lightning attachment procedure optimization, or those of multi-agent systems. These methods are applied into various fields as video surveillance, gesture recognition, sentiment analysis, territory planning, search engines, epidemiological surveillance or robotics