Soft robotics is of growing interest in the robot community as well as in public media, and there is an increase in the quality and quantity of publications related to this topic. To formally elaborate this growth, we have used a bibliometric analysis to evaluate the publications in the field from 1990 to 2017 based on the Science Citation Index Expanded database. We present a detailed overview and discussion based on keywords, citation, h-index, year, journal, institution, country, author, and review articles. The results show that the United States takes the leading position in this research field, followed by China and Italy. Harvard University has the most publications, high average number of citations per publication and the highest h-index. IEEE Transactions on Robotics ranks first among the top 20 academic journals publishing articles related to this field, whereas Soft Robotics holds the top position in journals categorized with “ROBOTICS.” Actuator, fabrication, control, material, sensing, simulation, bionics, stiffness, modeling, power, motion, and application are the hot topics of soft robotics. Smart materials, bionics, morphological computation, and embodiment control are expected to contribute to this field in the future. Application and commercialization appear to be the initial driving force and final goal for soft robots.
Author(s): Guanjun Bao, Hui Fang, Lingfeng Chen, Yuehua Wan, Fang Xu, Qinghua Yang, and Libin Zhang
Organization(s): Zhejiang University of Technology
Source: Soft Robotics
A profile is conducted on e-learning using bibliographic data from Scopus and Web of Science (WoS) from the year 2000 to 2015. A five-step scientometric analysis methodology is used: i) Recovery, ii) Migration, iii) Analysis, iv) Visualization v) Interpretation. A set of 1147 records was analyzed, finding that the countries with the greatest contribution were: United States, Spain, United Kingdom, Australia and Germany. The analysis of the profile reflects a range of topics related to e-learning and different areas of knowledge, as well as a scarce presence of research and authors of Latin American origin. This work will allow researchers to identify trends of the last fifteen years.
Author(s): Diana Marcela Cardona-Román, Jenny Marcela Sánchez-Torres
Organization(s): Universidad Nacional de Colombia
Source: Educación del Departamento de Educación de la Pontificia Universidad Católica del Perú (PUCP)
This paper aims to focus on research regarding organizational learning (OL) and knowledge management (KM), and to specifically investigate whether OL has been conceptually absorbed by KM. The study is based on 16,185 articles from the Scopus and ISI Web of Science databases, using VantagePoint 10.0 software. The method used in this study is a systematic literature review covering KM and OL publications from the 1970s, when the OL field started to grow, up to 2016. Scopus and ISI Web of Science were chosen because of their academic prestige. However, these databases include a large number of articles on KM and OL. Search terms used could exclude some relevant terms, although all major descriptive terms have been included. This is the first paper to jointly analyse the evolution of KM and OL. This paper shows a conceptual absorption of OL into KM, which may enrich academic discussion and also provide some clarity to the conceptualization of these two fields.
Author(s): Delio Ignacio Castaneda, Luisa Fernanda Manrique, Sergio Cuellar
Organization: Pontificia Universidad Javeriana
Source: Journal of Knowledge Management
This report examines Germany’s research and patent position in four autonomous systems: smart homes, smart factories, autonomous vehicles (non-hostile environments), and autonomous vehicles in hostile environments. Bibliometric analysis of scholarly papers indexed in the Web of Science and patent analysis of documents in Patstat and Derwent Innovation Index (representing patents from more than 40 patent authorities worldwide) are conducted for all records published in the 2002 to 2017 (May) time
period. Results suggest that Germany has great strengths in autonomous systems, particularly in the smart factory and autonomous vehicles domains. German research publications are particularly strong in hard technological areas such as representation, localization, computer vision, and sensor vision. The diversity of research organizations and patenting sectors is another strength of Germany’s. German patents also
benefit from being more science-based and international than those from other comparator nations. On the other hand, Germany has less research publication and patent output in the smart home and autonomous vehicles in hostile environment system domains. Germany is less likely to show strength in data analytic and machine learning areas.
For full-text see https://www.econstor.eu/handle/10419/175556
Author(s): Jan Youtie, Alan Porter, Philip Shapira, Seokkyun Woo, Yayun Huang
Organization(s): Georgia Institute of Technology
Source: Studien zum deutschen Innovationssystem
This article aims to present the Green Supply Chain Management (GSCM) practices from a comprehensive point of view and to analyze the subject’s behaviour in the last ten years, through a systematic literature review/bibliometric analysis in articles published from 2006 to 2016. Through the research profiling method, we identified that (i) the most frequent research contexts were “GSCM financial impact” and “motivations to GSCM implementation”, (ii) the automotive, textile / manufacturing and electronic sectors were the most discussed, (iii) the most used research methods were those involving empirical procedures, iv) Web of Science and Scopus databases gathered 96.7% of the articles used in this analysis, (v) there is a high concentration of researches from countries academically established and recognized, while developing countries are also present, (vi) Journal of Cleaner Production was the most cited journal and with more publications about GSCM, (vii) Samir Srivastava’s article had the highest Citation Score, and (viii) there are 11 GSCM research clusters. In addition, we discuss the content covered in the literature review, seeking to extend the understanding of the scenario where the GSCM is inserted nowadays and helping to identify research opportunities for researchers interested in such subject.
Author(s): Ualison Rébula de Oliveira, Luciano Souza Espindola, Isabele Rocha da Silva, Iaslin Nostório da Silva, Henrique Martins Rocha
Organization(s): Universidade Federal Fluminense (UFF), Universidade do Estado do Rio de Janeiro (UERJ)
Source: Journal of Cleaner Production
Coal is the most important fossil energy used in China. The environmental impact of trace elements released in coal combustion has become one of the hottest issues in recent years. Based on a software named CiteSpace, and social network analysis (SNA), a bibliometric analysis of research into trace elements in coal and ash field during 1971–2017 is presented with the information of authors, countries, institutions, journals, hot issues and research trends in the present study. The study results indicate that: (1) Shifeng Dai, Robert B Finkelman, Guijian Liu and James C Hower have a large number of publications with great influence. (2) China (29.8%) and USA (22.2%) have high productivity in total publications. China and the USA correlate closely in the cooperative web system. (3) China University of Mining and Technology and Chinese Academy of Sciences take the leading position in the quantity of publications among all research institutions. (4) Energy and fuels, engineering and environmental science are three disciplines with the most studies in this field. (5) International Journal of Coal Geology, Fuel, Energy and Fuels and Fuel Processing Technology are the top four journals with the most publications in this field. (6) The enrichment origin and modes of occurrence of trace elements are the mainstream research related to trace elements in coal and ash. The environmental problems caused by coal combustion have promoted the development of trace elements in coal research, and human health is getting more and more popular in recent years. The study findings provide a better understanding of features of trace elements in coal and ash research, which could be taken as a reference for future studies in this field.
For full-text see http://www.mdpi.com/2075-163X/8/3/89/htm
Author(s): Liu Yang, Qiqi Wang, Xue Bai, Jun Deng, Yinjie Hu
Organization(s): China University of Mining and Technology, China National Institute of Standardization
In the current information technology era, Bioinformatics is growing rapidly due to availability of vast database systems and the ever increasing amount of biological data. It is a flexible and creative means of storing, managing, and querying of complex biological datasets. With these rapid advancements in today’s technology-driven age, it is also imperative that protection in the form of Intellectual Property Rights (IPR) is sought for such research and development activity. In addition, there is a need to formulate an aggressive strategy to protect one’s IP. In fact, various companies’, universities’, institutions’ and researchers’ are into the process to protect their core invention. This landscape will give an outline of the latest technological growth, geographical distribution, and top competitors playing an important role in this field.
Author(s): Neha Mago, Nishad Deshpande, Rajkumar R.Hirwani
Organization(s): CSIR-Unit for Research and Development of Information Products (CSIR-URDIP)
Source: World Patent Information
Biological invasions seriously threat the global biodiversity and ecosystem health, causing great losses to global environment and economy. However, rapid climate change could significantly affect the diffusion and invasion of alien species. To explore the development situation of biological invasions under climate change could be helpful for better understanding the status and hot spots in this field, and also the benefitial for understanding the invasion mechanism and making effective management measures. In our study, we studied the Web of Science (WOS) database for publications pertaining to the biological invasions under climate change between the years 1990-2016, we then used the Thomson Data Analyzer (TDA) to operate the systematic analysis. We found that there were total 1 736 published papers in recent 27 years. The number of publications increased annually, while it rapidly increased since 2009. This research area related to several subjects such as environmental science and ecology, biodiversity protection, botany, etc. Prof. Chown SL form Monash University had the largest amounts of publications. USA had the maximum total papers, highly cited and high impact factor papers. California University published the most papers among international research institutes, while the Chinese Academy of Science (CAS) ranked the 10th. Biological Invasions was the academic journal which had the largest publications. Recent studies focused primarily on topics related to species distribution models, biodiversity, global warming and risk assessment. China totally published 52 articles, Chinese Academy of Science had the largest amounts of papers, while Institute of Zoology, Wuhan Botanical Garden, Institute of Botany ranking Top 3 among the branch organizations of CAS. In the future, China should give more attentions on the high level research papers and international cooperation of biological invasions under climate change. In addition, we need to focus on prediction and risk assessment of alien species, relationships between biological invasions and biodiversity, system evolution of invaders, relationships among multiple trophic levels of invaded ecosystem, marine biological invasion, influence of invasion on human health, etc under a rapid global climate change.
Author: Wu Hao
Organization: National Science Library, Chinese Academy of Sciences
Source: GUANGXI ZHIWU
Open Teaching is currently considered an ambiguous and polysemic concept but has nevertheless become a growing global trend in ICT-based education. To identify key issues on the subject, this article presents a study on Open teaching that combines meta-synthesis and content analysis of research published over the last twenty years in major peer-reviewed databases. Six main analytical categories emerge from data, conforming six groups of findings. Those findings show that Open Teaching has been associated with various concepts over the years and that there is no consensus on its meaning in the academic community. The current understanding of Open Teaching, that it is merely related to distance education, thwarts important practical and conceptual possibilities by prioritizing access as its main feature and ignoring important “openness” attributes, such as adaptation, sharing, remixing or collaboration. Moreover, the findings note that the most common means to implement Open Teaching as an ICT-based practice are derived from the use of Open Educational Resources (OER) and via Massive Open Online Courses (MOOCs) which represents not only a major challenge for active educational practitioners but a new way of conceiving and implementing e-learning in higher education.
Full text at https://files.eric.ed.gov/fulltext/EJ1157965.pdf
Author(s): Andres Chiappe, Linda L. Lee
Organizaton(s): Universidad de la Sabana, Universidad de Córdoba
Source: The Electronic Journal of e-Learning
Applications of various data analytics technologies to security and criminal investigation during the past three decades have demonstrated the inception, growth, and maturation of criminal analytics. We first identify five cutting-edge data mining technologies such as link analysis, intelligent agents, text mining, neural networks, and machine learning. Then, we explore their recent applications to the criminal analytics domain, and discuss the challenges arising from these innovative applications. We also extend our study to big data analytics which provides some state-of-the-art technologies to reshape criminal investigations. In this paper, we review the recent literature, and examine the potentials of big data analytics for security intelligence under a criminal analytics framework. We examine some common data sources, analytics methods, and applications related to two important aspects of social network analysis namely, structural analysis and positional analysis that lay the foundation of criminal analytics. Another contribution of this paper is that we also advocate a novel criminal analytics methodology that is underpinned by big data analytics. We discuss the merits and challenges of applying big data analytics to the criminal analytics domain. Finally, we highlight the future research directions of big data analytics enhanced criminal investigations.
Author(s): M.I. Pramanik, Raymond Y.K. Lau, Wei T. Yue, Yunming Ye, Chunping Li
Organization(s): City University of Hong Kong, Shenzhen Graduate School/Harbin Institute of Technology, Tsinghua University
Source: WIREs Data Mining Knowledge Discovery