Category Archives: Research Examples

Bibliometric Analysis of Trends in Global Sustainable Livelihood Research (Full-Text)

Research Examples, Research profiling

The concept of sustainable livelihoods (SL) is one of the most important subjects of sustainable development, and is an important long-term goal for poverty alleviation. There has been growing interest in the nature and practical application of SL in recent decades. This paper applies bibliometric analysis to collect and analyze data on sustainable livelihoods from the expanded Science Citation index (SCIE) and the Social Sciences Citation Index (SSCI). Bibliometric maps can assist greatly in visualizing and summarizing large volumes of data and in studying scientific outputs. The findings offer insights into research trends pertaining to SL, such as these: (1) In recent decades there has been an increase in both the number of papers on SL and their scientific influence. (2) The most active journals are Sustainability, Ecology and Society, Land Use Policy, and International Journal of Sustainable Development and World Ecology. (3) SL papers are distributed mainly in the fields of Environmental Sciences, Environmental Studies, Ecology, Planning & Development, and Green & Sustainable Science & Technology. (4) The USA and UK are leaders in SL research as measured by both the quantity and quality of SL publications. Some developing countries, notably India and China, have seen an increase in SL publications in recent years. (5) Wageningen University in Netherlands, the Chinese Academy of Science, and the Center for International Forestry Research (CIFOR), headquartered in Indonesia, have had a major influence in the field of international SL research. (6) International cooperation has a positive effect on the growth of SL research, suggesting that there is a need for strengthening cooperation among countries, international institutions, and individuals. (7) Major areas of SL research (“hot topics”) are theoretical research on the SL concept; ecosystem conservation; poverty reduction in the poverty-stricken areas; the impact of climate change on livelihoods; and linkages between SL-related policies and institutional change

For Full-Text https://doi.org/10.3390/su11041150

Author(s): Chenjia Zhang, Yiping Fang, Xiujuan Chen, Tian Congshan
Organization(s): Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, University of Chinese Academy of Sciences
Source: Sustainability
Year: 2019

What people learn about how people learn: An analysis of citation behavior and the multidisciplinary flow of knowledge

Citation analysis, Interdisciplinarity, Research Examples, Research Type, ST&I indicators

We explore the contention that the seminal US National Academies consensus report,How People Learn(HPL),played a major role in bridging the flow of knowledge from Cognitive Science to Education. Our paper yielded four important results: First, HPL is, on a number of bibliometric measures, an unusually interdisciplinary work.Focusing on the fields of particular interest here, our citation analysis shows the Education, Cognitive Science,and Borderfield (e.g., Educational Psychology, Learning Sciences, and Learning Technology and Human-Computer Interaction) literatures all to have been major influences on it. Second, we found HPL to be unusually highly cited–and by publications from an unusually diverse set of disciplines. Beyond Education, Cognitive Science, and Border field publications, HPL was also relatively highly cited by publications in Medical/Health-related, Engineering, and other Discipline-Based Education Research fields. Third, undermining the claim that HPL served as a gateway to the Cognitive Science literature, we found Education articles citing HPL not to be more likely to have Cognitive Science as a major influence than are Education articles more generally, as in-dicated by their cited references. Finally, the Education publications that cited HPL were far more likely to refer to concepts in HPL that were already prevalent in the Education literature rather than to concepts from Cognitive Science. Conversely, the Cognitive Science publications that cited HPL were more apt to refer to concepts already in the Cognitive Science literature. Taken together, these results are a caution that, even for a highly regarded multidisciplinary work cited widely by publications from multiple disciplines, its direct influence could be largely disciplinary. Implications for the policy goals of fostering interdisciplinary research and the role of National Academies consensus reports are discussed.

https://doi.org/10.1016/j.respol.2019.103835

Author(s): Gregg E. A. Solomon, Jan Youtie, Stephen Carley, Alan L. Porter  
Organization(s): National Science Foundation, Georgia Institute of Technology                                                                                                        
Source: Research Policy                                                                                       
Year: 2019

Mapping the lab-on-a-chip patent landscape through bibliometric techniques

Network analysis, Patents, Research Examples

Lab-on-chip are miniaturized devices capable of performing a variety of chemical, biochemical or biological analyzes of small volumes of fluids into a single chip. This is an emerging technology that holds potential to deliver more reliable and faster results at a lower cost than traditional laboratory methods. The aim of this paper is to give an overview of the products and processes related to lab-on-a-chip based on patent documents. We use patents data from Thomson Reuters Derwent Innovations Index and combine bibliometrics and social network analysis techniques. We found 2984 patents related to lab-on-a-chip technology, of which only 221 claims for a new lab-on-a-chip device. Considering the total of patents, our results show a significant increase in patenting from 2000 to 2008. As of 2006, the interest in patenting in several countries has risen. USA and Japan are the two most frequent countries developing related technologies, and the USA and the European Patent Office are the top target of patenting by non-residents. Overall, one can see a wide dispersion of organizations involved in researching and developing this technology. Technological developments are most frequently associated with the areas of physics, performing operations and chemistry. Most of the documents are aimed to protect inventions related to instruments for measuring and testing, and processes or apparatus for separation or mixing. By providing a lab-on-a-chip patent landscape worldwide, our findings can be used to support R&D decisions and foster new partnerships between organizations willing to develop the capabilities needed to enter this market.

https://doi.org/10.1016/j.wpi.2019.101904

Author(s): Flávia Maria Lins Mendes, Kamaiaji Castor, Roseli Monteiro, Fabio Batista Mota, Leonardo Fernandes Moutinho Rocha
Organization(s): Centro de Estudos Estratégicos, Fundação Oswaldo Cruz (CEE/Fiocruz)
Source: World Patent Information
Year: 2019

Bibliometric analysis on tendency and topics of artificial intelligence over last decade

Research Examples, Research profiling

Artificial intelligence (AI), together with its applications, has received world-wide attentions and is expected to exert force on the development of global economy and society in the future. By means of bibliometric method, the study aims at providing an overview on the research tendency and the most concerned topics of AI during the past decade. The database of Web of Science was chosen and the articles published in AI journals were retrieved. Top 10% of the yearly high-citation articles (12,301 articles) published since the year of 2008 were selected as sampling articles for the analysis. The bibliographic records were used for the overall analysis, and the core keywords were studied and classified into three categories (algorithm, general technology and application technology) for topics analysis. As results, number of articles in AI by year and country, the country collaboration and well-known institutes and researchers in AI were presented. Also we proposed and concluded the five most concerned topics, which are perception intelligence (1st), human mind simulated intelligence (2nd), classical model based machine learning (3rd), bio-inspired intelligence (4th), and big-data based intelligence (5th). It is the authors’ wish that the study were helpful for researchers to have an overall grasp of the recent status of AI development.

https://doi.org/10.1007/s00542-019-04426-y

Author(s): Fang Gao, Xiaofeng Jia, Zhiyun Zhao, Chih-Cheng Chen, Feng Xu, Zhe Geng, Xiaotong Song
Organization(s): Institute of Scientific and Technical Information of China (ISTIC)
Source: Microsystem Technologies
Year: 2019

Modeling study of knowledge diffusion in scientific collaboration networks based on differential dynamics: A case study in graphene field

Network analysis, Research Examples, ,

knowledge diffusion based on scientific collaboration is similar to disease propagation through actual contact. Inspired by the disease-spreading model in complex networks, this study classifies the states of research entities during the process of knowledge diffusion in scientific collaboration into four categories. Research entities can transform from one state to another with a certain probability, which results in the evolution rules of knowledge diffusion in scientific collaboration networks. The knowledge diffusion model of differential dynamics in scientific collaboration of non-uniformity networks is formed, and the relationship between the degree distribution and evolution of knowledge diffusion is further discussed, to reveal the dynamic mechanics of knowledge diffusion in scientific collaboration networks. Finally, an empirical analysis is conducted on knowledge diffusion in an institutional scientific collaboration network by taking the graphene field as an example. The results show that the state evolution of research entities in the knowledge diffusion process of scientific collaboration networks is affected not only by the evolution states of adjacent research entities with whom they have certain collaboration relationships, but also by the structural attributes and degree distributions of scientific collaboration networks. The evolution of knowledge diffusion in scientific collaboration entities with different degrees also shows different trends.

https://doi.org/10.1016/j.physa.2019.04.201

Author(s):Zenghui Yue, Haiyun Xu, Guoting Yuan, Hongshen Pang
Organization(s):Jining Medical University, Chengdu Documentation and Information Center, Chinese Academy of Sciences
Source: Physica A: Statistical Mechanics and its Applications
Year: 2019

Analysing the theoretical roots of technology emergence: an evolutionary perspective

Research Examples, Research profiling

There has been much research concerning emergence in technology, ever since knowledge has been accepted as a prime engine of economic growth. However, even though there are a growing number of publications, the concept remains ambiguous. In this study, we aim to trace emergence discussions to find the evolution of related concepts, in order to explore usage in the technological context. To achieve this, the philosophy of science, complexity, and economic literatures are reviewed in accordance with the emergence concept qualitatively. Then, a bibliometrics study is performed to strengthen the qualitative argument and find evidence of emergence in technology studies for comparison. Based on the findings, we can assert that the definition of technology emergence needs to be revised with consideration of its theoretical foundations. Moreover, after discussion, research questions are posed for future research.

https://doi.org/10.1007/s11192-019-03033-y

Author(s): Serhat Burmaoglu, Olivier Sartenaer, Alan Porter, Munan Li
Organization(s): Izmir Katip Celebi University, University of Cologne, Georgia Institute of Technology
Source: Scientometrics
Year: 2019

An overview of intellectual property within agricultural biotechnology in Brazil (Full-Text)

Patents, Research Examples, Research profiling, ST&I policy

Brazilian agricultural biotechnology has seen great advances in recent decades, especially in the development of GM crops, including soybean, cotton, and maize, which has placed Brazil in second place since 2013 in the ranking of countries with the greatest GM-cultivated area. However, patenting these technologies is somewhat more restrictive in Brazil than in other countries, such as the USA and Japan, especially concerning isolated biological material from nature. Hence, the intellectual protection of crops in Brazil is encompassed by sui generis rights and/or the patenting of only the development process. Given the current scenario and the importance of biotechnology for the Brazilian agriculture sector, it is necessary to deeply study the patent system for recently developed technologies to identify opportunities for enterprises and national institutes to act in this area. The application of novel biotechnological strategies to agriculture will contribute to the expanding agriculture sector and become part of the solution to global challenges. Through this study, we can identify the major companies developing and protecting their agrobiotechnologies. Additionally, a more detailed analysis verifies that although there are some restrictions in Brazilian laws, GM patent applicants find ways to obtain intellectual protection for the tools they use in the development of GM crops, which include regulatory sequences, gene constructs and production methodologies. Mechanisms to stimulate investment in Brazilian research companies and public policies must be consolidated, allowing investment and public–private partnerships in this sector, with the aim of applying biotechnological knowledge and turn it into products demanded by society.

For Full-Text https://doi.org/10.1016/j.biori.2019.04.003

Author(s): L.H.M. Figueiredo, A.G. Vasconcellos, G.S. Prado, M.F. Grossi-de-Sa
Organization(s): EMBRAPA Genetic Resources and Biotechnology, National Institute of Industrial Property/INPI
Source: Biotechnology Research and Innovation
Year: 2019

Data Analytics for Better Informed Technology & Engineering Management

Research Examples, ST&I indicators

Many fields are managing better by incorporating advanced data analytics – e.g., even sports such as baseball. We illustrate with a novel set of indicators that distinguish cutting edge R&D activity to provide competitive technical intelligence on “who’s doing what, where, and when.” Our aim is to stimulate your thinking about what data analytics could help you achieve your technology management goals more effectively.

10.1109/EMR.2019.2928265

Author: Alan Porter
Organization: Search Technology
Source:  IEEE Engineering Management Review
Year: 2019

Imbalances between the Quantity and Quality of China’s Solar Energy Research (Full-Text)

Research Examples, Research profiling

China’s solar energy industry is developing rapidly and China’s solar energy research is experiencing a high speed of development alongside it. Is China’s solar energy research growth quantity-driven (paper-driven) or quality-driven (citation-driven)? Answering this question is important for China’s solar research field and industrial sector, and has implications for China’s other renewable research programs. Applying statistical methods, the citation analysis method, and web of science data, this study investigated China’s solar energy research between 2007 and 2015 from two perspectives: quantity (numbers of papers) and quality (number of paper citations). The results show that the number of Science Citation Index Expanded (SCI-E) papers on solar energy in China has grown rapidly, surpassing the United States to become the world leader in 2015. However, the growth rate in scientific production was consistently higher than the growth rate of the number of times cited. When considering the average number of times a paper was cited among the top ten countries researching solar energy, China was in last place from 2007 to 2015. Further, the impact and effectiveness of China’s papers were below the world average from 2010 to 2015, and experienced a sharp decreasing trend. These results suggest that China’s solar energy research is a quantitatively driven model, with a mismatch between quantity and quality. New policies should be introduced to encourage high-quality research and achieve a balance between quantity and quality.

For full-text https://www.mdpi.com/2071-1050/11/3/623

Author(s): Rongrong Li, Xuefeng Wang
Organization(s): Beijing Institute of Technology
Source: Sustainability
Year: 2019

Research addressing emerging technological ideas has greater scientific impact

Citation analysis, Research Examples, Research Type, ST&I indicators,

This study empirically examines the association between the extent of emerging technological ideas in a scientific publication and its future scientific impact measured by number of citations. We analyze metadata of scientific publications in three scientific domains: Nano-Enabled Drug Delivery, Synthetic Biology, and Autonomous Vehicles. By employing a bibliometric indicator for identifying and quantifying emerging technological ideas – as derived terms from the titles and abstracts – we measure the extent to which the publication contains emerging technological ideas in each domain. Then, we statistically estimate the size and statistical significance of the relationship between the publication-level technological emergence score and the normalized number of citations accruing to the publication.

Our analysis shows that the degree to which a paper contains technologically emerging ideas is positively and strongly associated with its future citation impact in each of the three domains. An additional analysis demonstrates that this relationship holds for citations from other publications, both in the same field as, and in different fields from, the scientific domain of the focal publication. A series of tests for validation further support our argument that the greater the extent to which scientific knowledge (a paper) contains emerging ideas, the bigger its scientific impact. Implications for academic researchers, research policymakers, and firms are discussed.

https://doi.org/10.1016/j.respol.2019.103834

Author(s): Seokbeom Kwon, Xiaoyu Liu, Alan L. Porter, Jan Youtie
Organization(s): Georgia Institute of Technology, Beijing Institute of Technology
Source: Research Policy
Year: 2019