Category Archives: Research Type

Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis

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
Year: 2018

Emergence scoring to identify frontier R&D topics and key players

Indicators of technological emergence promise valuable intelligence to those determining R&D priorities. We present an implemented algorithm to calculate emergence scores for topical terms from abstract record sets. We offer a family of emergence indicators deriving from those scores. Primary emergence indicators identify “hot topic” terms. We then use those to generate secondary indicators that reflect organizations, countries, or authors especially active at frontiers in a target R&D domain. We also flag abstract records (papers or patents) rich in emergent technology content, and we score research fields on relative degree of emergence. This paper presents illustrative results for example topics – Nano-Enabled Drug Delivery, Non-Linear Programming, Dye Sensitized Solar Cells, and Big Data.

Author(s): Alan L. Porter, Jon Garner, Stephen F. Carley, Nils C. Newman
Organization: Georgia Institute of Technology
Source: Technological Forecasting and Social Change
Year: 2018

Análisis cienciométrico de la producción científica acerca de la investigación sobre la evaluación de la implementación del e-learning en el periodo 2000-2015 (Scientometric analysis e-learning research in the period 2000-2015)

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)
Year:  2017

Is organizational learning being absorbed by knowledge management? A systematic review

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
Year: 2017

Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective

“Disruptive technology & disruptive innovation” have been of scholarly interest for years, but there is still a need to better understand the nature of disruptions and their relationship to emerging technology processes. This paper pursues these issues by analyzing the interplay of technological emergence, disruption, and innovation. Applying bibliometric methods, the paper explores the conceptual foundations, themes, and research communities within these research domains. Co-citation analyses point to three largely distinct communities on disruptive technology/innovation and emerging technology. The results highlight the multiple theoretical foundations of research around technological change processes, disruption, and emergence. These differences among the domains invite conceptual cross-fertilization and consideration of interdisciplinary approaches to technological (and commercial) emergence.

Author(s): Munan Li, Alan L. Porter, Arho Suominen
Organisation(s): South China University of Technology, Georgia Institute of Technology, VTT Technical Research Centre of Finland
Source: Technological Forecasting & Social Change
Year: 2018

Autonomous systems: A bibliometric and patent analysis (full-text)

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.

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Author(s): Jan Youtie, Alan Porter, Philip Shapira, Seokkyun Woo, Yayun Huang
Organization(s): Georgia Institute of Technology
Source: Studien zum deutschen Innovationssystem
Year: 2017

A systematic literature review on green supply chain management: research implications and future perspectives

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
Year: 2018

Mapping of Trace Elements in Coal and Ash Research Based on a Bibliometric Analysis Method Spanning 1971–2017 (full-text)

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.

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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
Source: Minerals
Year: 2018

South-south collaboration on HIV/AIDS prevention and treatment research: when birds of a feather rarely flock together (full-text)

South-south collaboration on health and development research is a critical mechanism for social and economic progress. It allows sharing and replicating experiences to find a “southern solution” to meet shared health challenges, such as access to adequate HIV/AIDS prevention and treatment. This study aimed to generate evidence on the dynamics of south-south collaboration in HIV/AIDS research, which could ultimately inform stakeholders on the progress and nature of collaboration towards increased research capacities in low- and middle-income countries (LMIC).

Bibliometric and social network analysis methods were used to assess the 10-year (2006–2015) scientific contribution of LMIC, through the analysis of scientific publications on HIV/AIDS prevention and/or treatment. Five dimensions oriented the study: knowledge production, co-authorship analysis, research themes mapping, research types classification and funding sources.

Publications involving LMIC have substantially increased overtime, despite small expression of south-south collaboration. Research themes mapping revealed that publication focus varied according to collaborating countries’ income categories, from diagnosis, opportunistic infections and laboratory-based research (LMIC single or LMIC-LMIC) to human behavior and healthcare, drug therapy and mother to child transmission (LMIC-HIC). The analysis of research types showed that south-south collaborations frequently targeted social sciences issues. Funding agencies acknowledged in south-south collaboration also showed diverse focus: LMIC-based funders tended to support basic biomedical research whereas international/HIC-based funders seem to cover predominantly social sciences-oriented research.

Although the global environment has fostered an increasing participation of LMIC in collaborative learning models, south-south collaboration on HIV/AIDS prevention and/or treatment research seemed to be lower than expected, stressing the need for strategies to foster these partnerships. The evidence presented in this study can be used to strengthen a knowledge platform to inform future policy, planning and funding decisions, contributing to the development of enhanced collaboration and a priority research agenda for LMICs.

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Author(s): Bruna de Paula Fonseca e Fonseca, Priscila Costa Albuquerque, Ed Noyons, Fabio Zicker
Organization(s): Oswaldo Cruz Foundation (Fiocruz),  Leiden University
Source: Globalization and Health
Year: 2018

Measuring and visualizing research collaboration and productivity (full-text)

This paper presents findings of a quasi-experimental assessment to gauge the research productivity and degree of interdisciplinarity of research center outputs. Of special interest, we share an enriched visualization of research co-authoring patterns.

We compile publications by 45 researchers in each of 1) the iUTAH project, which we consider here to be analogous to a “research center,” 2) CG1— a comparison group of participants in two other Utah environmental research centers, and 3) CG2—a comparison group of Utah university environmental researchers not associated with a research center. We draw bibliometric data from Web of Science and from Google Scholar. We gather publications for a period before iUTAH had been established (2010–2012) and a period after (2014–2016). We compare these research outputs in terms of publications and citations thereto. We also measure interdisciplinarity using Integration scoring and generate science overlay maps to locate the research publications across disciplines.

We find that participation in the iUTAH project appears to increase research outputs (publications in the After period) and increase research citation rates relative to the comparison group researchers (although CG1 research remains most cited, as it was in the Before period). Most notably, participation in iUTAH markedly increases co-authoring among researchers—in general; and for junior, as well as senior, faculty; for men and women: across organizations; and across disciplines.

The quasi-experimental design necessarily generates suggestive, not definitively causal, findings because of the imperfect controls.

This study demonstrates a viable approach for research assessment of a center or program for which random assignment of control groups is not possible. It illustrates use of bibliometric indicators to inform R&D program management. New visualizations of researcher collaboration provide compelling comparisons of the extent and nature of social networking among target cohort.ings of a

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Author(s): Jon Garner, Alan L. Porter, Andreas Leidolf, Michelle Baker
Organization(s): Georgia Institute of Technology, Utah State Universit
Source: Journal of Data and Information Science (JDIS)
Year: 2018