A science mapping of studies on courtroom discourse with CiteSpace

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Min Yang ◽  
Min Wang
Keyword(s):  
Rapid Development ◽  
Cooperative Networks ◽  
Research Front ◽  
Science Mapping ◽  
Linguistic Communication ◽  
Research Fronts ◽  
Significant Research ◽  
Extensive Information ◽  
Theoretical Foundations ◽  
Research Hotspots

Abstract The courtroom, as the most dramatic setting of legal language, is a rich linguistic domain for research; therefore, a science mapping study of the state of the art of this emerging field is of necessity. By CiteSpace V, the present study provides a comprehensive and up-to-date systematic review of the research on courtroom discourse, as presented by 379 article publications and their 10,538 references in the Web of Science (WoS) Core Collection from 1979 to 2021. According to statistics on publications by year, it appears that courtroom discourse research has experienced a period of silence (1979–1992), followed by an emergent period (1993–2005), before entering a period of considerable growth since 2006. Weak cooperative networks, extensive information base, multiple research fronts, and dynamic hotspots of courtroom discourse research have been discovered. Courtroom discourse research focuses on three core topics: courtroom interpreting, the interaction between law, language, power, and ideology, and the investigation of courtroom trial structures. Linguistic communication issues are prominent in courtroom discourse. As far as courtroom subjects are concerned, there is an audience-oriented turn in the latest research front of courtroom discourse. The research hotspots have shifted from language ontology during the emergent period to consolidating and developing the theoretical foundations of courtroom discourse during the rapid development period. According to keyword clustering, stance studies and miscommunication research are significant research hotspots of courtroom discourse.

Explore the research front of a specific research theme based on a novel technique of enhanced co-word analysis

2016 ◽  
Vol 43 (6) ◽  
pp. 725-741 ◽  
Author(s):  
Munan Li ◽  
Yanqun Chu
Keyword(s):  
Association Rule ◽  
Three Dimensional ◽  
Research Front ◽  
Rule Mining ◽  
Science Mapping ◽  
Word Analysis ◽  
Text Streams ◽  
Research Theme ◽  
Research Fronts

Discovering the research front of a specific topic remains a significant challenge for researchers in all scientific areas. Over the last decade, burst term detection (BTD) in text streams has become a useful technique for bibliometrics and science mapping. It has been argued that analytical methods based on BTD can indicate certain facets of a research front. To integrate BTD into the framework of traditional co-word analysis, association rule mining between keywords and burst terms (ARM-KB) is introduced to enhance traditional co-word analysis and present a new facet of the research front for a field of science. Based on ARM-KB, possible connections between keywords and burst terms are built, which can facilitate the exploration of a research front from a three-dimensional perspective, through co-word analysis, burst term clues, and association rules. In the case study, the research fronts of anticancer based on nanomedicine (ABN) are explored. Based on theoretical and empirical analyses, ARM-KB can be used as a valuable new technique or a supplement to traditional bibliometrics in the exploration of scientific frontiers.

scholarly journals Usage Count: A New Indicator to Detect Research Fronts

2017 ◽  
Vol 2 (1) ◽  
pp. 89-104 ◽  
Author(s):  
Guoqiang Liang ◽  
Haiyan Hou ◽  
Zhigang Hu ◽  
Fu Huang ◽  
Yajie Wang ◽  
...  
Keyword(s):  
Regenerative Medicine ◽  
Citation Count ◽  
Time Lag ◽  
Research Front ◽  
Research Fronts ◽  
The Mean ◽  
New Perspective ◽  
Practical Implications ◽  
Traditional Indicator ◽  
Highly Cited

Abstract Purpose Research fronts build on recent work, but using times cited as a traditional indicator to detect research fronts will inevitably result in a certain time lag. This study attempts to explore the effects of usage count as a new indicator to detect research fronts in shortening the time lag of classic indicators in research fronts detection. Design/methodology/approach An exploratory study was conducted where the new indicator “usage count” was compared to the traditional citation count, “times cited,” in detecting research fronts of the regenerative medicine domain. An initial topic search of the term “regenerative medicine” returned 10,553 records published between 2000 and 2015 in the Web of Science (WoS). We first ranked these records with usage count and times cited, respectively, and selected the top 2,000 records for each. We then performed a co-citation analysis in order to obtain the citing papers of the co-citation clusters as the research fronts. Finally, we compared the average publication year of the citing papers as well as the mean cited year of the co-citation clusters. Findings The citing articles detected by usage count tend to be published more recently compared with times cited within the same research front. Moreover, research fronts detected by usage count tend to be within the last two years, which presents a higher immediacy and real-time feature compared to times cited. There is approximately a three-year time span among the mean cited years (known as “intellectual base”) of all clusters generated by usage count and this figure is about four years in the network of times cited. In comparison to times cited, usage count is a dynamic and instant indicator. Research limitations We are trying to find the cutting-edge research fronts, but those generated based on co-citations may refer to the hot research fronts. The usage count of older highly cited papers was not taken into consideration, because the usage count indicator released by WoS only reflects usage logs after February 2013. Practical implications The article provides a new perspective on using usage count as a new indicator to detect research fronts. Originality/value Usage count can greatly shorten the time lag in research fronts detection, which would be a promising complementary indicator in detection of the latest research fronts.

scholarly journals Comparative Analysis between International Research Hotspots and National-Level Policy Keywords on Artificial Intelligence in China from 2009 to 2018

2019 ◽  
Vol 11 (23) ◽  
pp. 6574 ◽  
Author(s):  
Gao ◽  
Huang ◽  
Zhang
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
International Research ◽  
Rapid Development ◽  
National Level ◽  
Academic Research ◽  
Development Stage ◽  
The Relationship ◽  
Research Hotspots ◽  
Research And Policy

In the last decade, artificial intelligence (AI) has undergone many important developments in China and has risen to the level of national strategy, which is closely related to the areas of research and policy promotion. The interactive relationship between the hotspots of China’s international AI research and its national-level policy keywords is the basis for further clarification and reference in academics and political circles. There has been very little research on the interaction between academic research and policy making. Understanding the relationship between the content of academic research and the content emphasized by actual operational policy will help scholars to better apply research to practice, and help decision-makers to manage effectively. Based on 3577 English publications about AI published by Chinese scholars in 2009–2018, and 262 Chinese national-level policy documents published during this period, this study carried out scientometric analysis and quantitative analysis of policy documents through the knowledge maps of AI international research hotspots in China and the co-occurrence maps of Chinese policy keywords, and conducted a comparative analysis that divided China’s AI development into three stages: the initial exploration stage, the steady rising stage, and the rapid development stage. The studies showed that in the initial exploration stage (2009–2012), research hotspots and policy keywords had a certain alienation relationship; in the steady rising stage (2013–2015), research hotspots focused more on cutting-edge technologies and policy keywords focused more on macro-guidance, and the relationship began to become close; and in the rapid development stage (2016–2018), the research hotspots and policy keywords became closely integrated, and they were mutually infiltrated and complementary, thus realizing organic integration and close connection. Through comparative analysis between international research hotspots and national-level policy keywords on AI in China from 2009 to 2018, the development of AI in China was revealed to some extent, along with the interaction between academics and politics in the past ten years, which is of great significance for the sustainable development and effective governance of China’s artificial intelligence.

scholarly journals Energy Efficiency in Cloud Computing: Exploring the Intellectual Structure of the Research Field and Its Research Fronts with Direct Citation Analysis

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7036
Author(s):  
Adam Kozakiewicz ◽  
Andrzej Lis
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Citation Analysis ◽  
Research Process ◽  
Research Field ◽  
Intellectual Structure ◽  
Process Data ◽  
Science Mapping ◽  
Research Fronts ◽  
Direct Citation

The aim of the study is to explore the intellectual structure of the field and fronts in research on energy efficiency in the context of cloud computing and thus to contribute to science mapping of the research field. The research process was driven by the following study questions: (1) what are the most influential publications in the research field? and (2) what are the research fronts in the research field? The method of direct citation analysis was employed in the research process. Data for analysis were obtained from the Scopus database and analyzed with the use of VOSviewer science mapping software. In response to the first question, we identified the most influential publications in the research field and analyzed their types (i.e., whether they are original research papers or rather the “context” papers e.g., survey or review papers, framework papers, challenges papers, and study papers). Moreover, a comparison analysis between the types of papers among the most cited “classical” publications and “emerging stars” was conducted. In response to the second research question, we identified five research fronts concentrated around the issues of: virtual machine management (“VM”); task-focus, concerning data replication, task consolidation, and task scheduling (“task”); energy efficiency (“energy”); modelling and optimization (“model”); and energy efficiency in the networking context (“network”).

scholarly journals Emerging trends and knowledge structure of epilepsy during pregnancy research for 2000–2018: a bibliometric analysis

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7115 ◽  
Author(s):  
Minglu Wang ◽  
Weitao Li ◽  
Yuying Tao ◽  
Limei Zhao
Keyword(s):  
Bibliometric Analysis ◽  
Domain Knowledge ◽  
Research Collaboration ◽  
Meta Analysis ◽  
Rapid Development ◽  
Autism Spectrum ◽  
Care Community ◽  
Emerging Trends ◽  
Research Frontiers ◽  
Research Hotspots

Background Epilepsy during pregnancy presents a unique set of challenges for pregnant women, the fetus, and the health care community. As research in this area advances rapidly, it is critical to keep up with the emerging trends and key turning points of the development of the domain knowledge. This study aimed to construct a series of science maps to quantitatively and qualitatively evaluate the intellectual landscape and research frontiers in the field of epilepsy during pregnancy research. Methods All publications were extracted from the Web of Science Core Collection database. Bibliometric analysis was used to analyze the scientific research outputs, including journals, countries/regions, institutions, authors (cited authors), intellectual base and research hotspots. Results A total of 2,225 publications related to epilepsy during pregnancy were identified as published between 2000 and 2018. The overall trend of the number of publications showed a fluctuating growth from 59 articles in 2000 to 198 in 2018. Neurology was the leading journal in the field of epilepsy and pregnancy research both in terms of impact factor score (8.055) and H-index value (77). The US retained its leading position and exerted a pivotal influence in this area. The University of Melbourne was identified as a good research institution for research collaboration. Prof. Pennell and Tomson have made great achievements in this area, and Prof. Tomson laid a foundation for the development of this domain. The keyword “neonatal seizures” ranked first in research hotspots, and the keyword “autism spectrum disorders (ASD)” ranked first in research frontiers. Conclusions Epilepsy during pregnancy is a fascinating and rapid development of subject matter. A more recent emerging trend focused on comprehensive management of pregnant and lactating women, evaluation of the safety and efficacy of newer antiepileptic drugs. The keywords “management issue,” “brain injury,” “meta-analysis,” “in utero exposure,” and “ASD” were the latest research frontiers and should be closely observed.

scholarly journals Research Progress of Energy Utilization of Agricultural Waste in China: Bibliometric Analysis by Citespace

2020 ◽  
Vol 12 (3) ◽  
pp. 812 ◽  
Author(s):  
Jiapei Wei ◽  
Gefu Liang ◽  
James Alex ◽  
Tongchao Zhang ◽  
Chunbo Ma
Keyword(s):  
Rapid Development ◽  
Agricultural Waste ◽  
Development Stage ◽  
Energy Utilization ◽  
Research Progress ◽  
Poultry Waste ◽  
Energy Potential ◽  
Petroleum Resources ◽  
Number Of Publications ◽  
Research Hotspots

Energy utilization of agricultural waste, due to the depletion of petroleum resources and the continuous deterioration of the ecological environment, has become an increasingly important development area at present, with broad prospects. The Citespace software was used to systematically summarize the research hotspots, development, and frontiers of researches on the energy utilization of agricultural waste in China from 1999 to 2018. The results show that (1) the number of publications in this field has increased, which includes a steady development stage, a rapid development stage, and a fluctuation and decline stage. (2) Research hotspots focused on technology for energy utilization of agricultural waste, benefits analysis of energy utilization of agricultural waste, energy conversion and upgrading path of agricultural waste, and energy potential of agricultural waste. (3) Development of research hotspots go through five stages: “technology for energy utilization of straw and the disposal of livestock and poultry waste”, “exploration of energy utilization mode of agricultural waste and the disposal of by-product from energy utilization of agricultural waste”, “technology upgrading from agricultural waste to fuel ethanol and recycling of livestock and poultry waste”, “resource recycling of by-product from biogas ” and “energy utilization of livestock and slaughterhouse waste”. It has revealed the focus in this field was changing from planting waste to breeding waste, and from unprocessed waste to by-product from energy utilization. (4) Energy utilization of slaughterhouse waste and cow manure has started to be considered as the frontiers of researches.

An Empirical Study of Green Finance Research Through Bibliometrics

2019 ◽  
pp. 84-106
Author(s):  
Feng Hu ◽  
Haibo Wei
Keyword(s):  
Citation Analysis ◽  
Research Trends ◽  
Intellectual Structure ◽  
Future Research ◽  
Research Front ◽  
Word Analysis ◽  
Emerging Trends ◽  
Green Finance ◽  
Research Hotspots ◽  
The Web

Green finance issues have triggered the increasing research enthusiasm of researchers. With the rapid growing of publications related to green finance, it is difficult for readers to deeply understand the intellectual structure, research hotspots, and trends. In addition, the dynamic nature of a research front poses challenges for the scientists, research policymakers, and many others to keep up with the rapid advances of the state of the art in science. Therefore, the authors conducted a bibliometric analysis from the Web of Science over the period of 1998–2017. Co-word analysis and co-citation analysis are employed to explore institution distribution, journal co-citation analysis, author co-citation analysis, document co-citation analysis, and keyword co-word analysis, particularly in high frequency items, intellectual turning points, burst points, and emerging trends. The results can be useful for institutions and researchers worldwide to understand the panorama of green finance research, find the potential research gaps, and focus on the future research trends.

Functional applications of 4D printing: A review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shubham Shankar Mohol ◽  
Varun Sharma
Keyword(s):  
Smart Materials ◽  
Self Assembly ◽  
Research Study ◽  
Rapid Development ◽  
Raw Material ◽  
4D Printing ◽  
Content Type ◽  
Functional Applications ◽  
Significant Research ◽  
3D Printed

Purpose Additive manufacturing has rapidly developed in terms of technology and its application in various types of industries. With this rapid development, there has been significant research in the area of materials. This has led to the invention of Smart Materials (SMs). The 4D printing is basically 3D printing of these SMs. This paper aims to focus on novel materials and their useful application in various industries using the technology of 4D printing. Design/methodology/approach Research studies in 4D printing have increased since the time when this idea was first introduced in the year 2013. The present research study will deeply focus on the introduction to 4D printing, types of SMs and its application based on the various types of stimulus. The application of each type of SM has been explained along with its functioning with respect to the stimulus. Findings SMs have multiple functional applications pertaining to appropriate industries. The 4D printed parts have a distinctive capability to change its shape and self-assembly to carry out a specific function according to the requirement. Afterward, the fabricated part can recover to its 3D printed “memorized” shape once it is triggered by the stimulus. Originality/value The present study highlights the various capabilities of SMs, which is used as a raw material in 4D printing. Graphical abstract

Analyzing Research Fronts in Medical Informatics Field Based on Topic Model and Life Cycle Theory

2020 ◽  
Author(s):  
Jia Feng ◽  
Xiaomin Mu ◽  
Fangfang Li ◽  
Yong Shen ◽  
Wei Wang ◽  
...  
Keyword(s):  
Life Cycle ◽  
Medical Informatics ◽  
Language Processing ◽  
Latent Dirichlet Allocation ◽  
Topic Model ◽  
Research Front ◽  
Research Topics ◽  
Life Cycle Theory ◽  
Research Activities ◽  
Research Fronts

Abstract Background: Medical informatics (MI) is a multidisciplinary field in which researchers pursue scientific exploration, problem-solving, and decision-making to facilitate the effective use of biomedical data, information and knowledge for the improvement of human health. The purpose of this study is to identify research fronts in the field of MI and ultimately elucidate research activities and trends in this field. Methods: This study used topic model to identify research topics in the field of MI based on the latent Dirichlet allocation method (LDA). And the topic cloud is utilized to visualize the research topics. For identifying the research front topics, we proposed the indicators of identifying research front topics. In addition, we investigated how front topics change over time, and divided them into five categories based on the life cycle theory. Results: The data were collected from 35981 published journal abstracts between 2007 and 2016. In the topic distribution of MI, we found that the scope of MI related research has become increasingly interdisciplinary, particular for medical data analysis. Also, in the analysis of research fronts of MI, we found that the use of natural language processing and medical text knowledge extraction play an essential role for systematic analysis and indexing of the underlying semantic contents. Conclusions: By categorizing the research fronts, the results shows that there are twelve growing, five stable and two declining research fronts. We hope that this work will facilitate greater exploration of the method of identifying the research fronts. Moreover, the findings of this study provide an insight on the research fronts and trends in MI.

WHAT’S GOING ON IN ABSORPTIVE CAPACITY STUDIES? RESEARCH FRONTS ON ORGANISATIONAL KNOWLEDGE ABSORPTION

2021 ◽  
pp. 2150056
Author(s):  
MARCIO AUGUSTO LASSANCE CUNHA FILHO ◽  
CRISTIANE DREBES PEDRON ◽  
ROBERTO LIMA RUAS
Keyword(s):  
Absorptive Capacity ◽  
Academic Research ◽  
Absorption Capacity ◽  
Organisational Learning ◽  
Research Front ◽  
Relevant Research ◽  
Research Fields ◽  
Research Fronts ◽  
Knowledge Absorption

Absorptive capacity (ACAP) is one of the most active themes in knowledge management literature. The topic is extensively mentioned in several relevant research fields, including innovation, organisational learning and strategic management. In this study, we employed bibliographic coupling to analyse the extant academic literature published in order to detect research fronts on the theme. Our sample includes 2,072 papers published in the last four years, which is in line with our basic intent to investigate the latest academic research. Papers included in the core research front highlight the role of ACAP as an organisational ability to assess new valuable knowledge, aiding the development of organisational capabilities. The role of knowledge absorption capacity in alliance networks, open innovation processes, intra-organisational learning, as well as exploratory and exploitative initiatives are the other relevant research fronts identified. We suggest the proposed implications of the analysis as material for further research on the theme.

Sign in / Sign up

Export Citation Format

Share Document