On Research History and Neanderthal Occupation at its Northern Margins

2018 ◽  
Vol 21 (4) ◽  
pp. 506-527
Author(s):  
Trine Kellberg Nielsen ◽  
Felix Riede
Keyword(s):  
Network Analysis ◽  
Citizen Science ◽  
Temporal Patterns ◽  
Citation Network ◽  
Research Field ◽  
Ad Hominem ◽  
Research History ◽  
Citation Network Analysis ◽  
Qualitative Discussion ◽  
Palaeolithic Archaeology

Epistemology and research history significantly shape scientific understandings, debates, and publication strategies, albeit often implicitly. In Palaeolithic archaeology in particular, these factors are rarely examined in depth. Here, we present a historiographic analysis of how research history has influenced the debate concerning the possible Neanderthal occupation in Scandinavia. We provide a qualitative discussion of this contentious research field as well as a citation network analysis that visualizes, quantifies, and hence clarifies some of the underlying conceptual, geographic, and temporal patterns in the development of the debate. Our results show significant regionalism as a structuring principle driving this debate as well as a basic rift between professional and avocational archaeologists in how they interpret and publish the available data. We also identify a troubling lack of cross-referencing, even when taking language barriers into account. We argue that the debate about Neanderthal occupation in Scandinavia has been shaped (negatively) by the following phenomena: regionalism, nationalism, lack of research and researchers, non-cumulative work, publication in Nordic languages, science by press release/sensationalism, and a lamentable trend towards arguments ad hominem. In order to take this research field forward, we propose an epistemological turn towards a cumulative, international, and hypothesis-driven agenda based on renewed research efforts and novel citizen science tools.

scholarly journals Current State and Future Trends: A Citation Network Analysis of the Orthokeratology Field

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Miguel Angel Sanchez-Tena ◽  
Cristina Alvarez-Peregrina ◽  
Jose Sanchez-Valverde ◽  
Cesar Villa-Collar
Keyword(s):  
Network Analysis ◽  
Computer Software ◽  
Citation Network ◽  
Research Field ◽  
Point Of View ◽  
Qualitative And Quantitative ◽  
Current State ◽  
Citation Network Analysis ◽  
Objective Representation ◽  
Flow Of Information

Introduction. Citation network analysis is a powerful tool that allows for a visual and objective representation of the past, present, and potential future directions of a research field. The objective of this study is using citation analysis network to analyse the evolution of knowledge in the field of orthokeratology. Materials and Methods. The database used in this citation networks analysis study was Scopus. The descriptor used was “orthokeratology” limited to three fields: title, keywords, and/or abstract, analysing the five most cited authors. Only articles cited at least twenty times were used. The computer software used was UCINET with two types of analysis, qualitative and quantitative. Results. 27 nodes have been included according to the search and inclusion criteria. In qualitative analysis, based on illustrate results, the relationships among nodes and their positions and connections show how the study of Cho et al. in 2005 is clearly positioned as a central cutoff point in the network. Quantitative analysis reveals the normalized value of the sample and shows how the study of Cho et al. in 2005 presents the highest percentage of input connections. Conclusions. This study shows the state of the flow of information in the orthokeratology field by providing links in bibliographic citations from a qualitative and quantitative point of view.

Bibliometric analysis of ecopreneurship using VOSviewer and RStudio Bibliometrix, 1989–2019

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepa Guleria ◽  
Gurvinder Kaur
Keyword(s):  
Network Analysis ◽  
Bibliometric Analysis ◽  
Citation Network ◽  
Research Area ◽  
Research Field ◽  
Research Network ◽  
Publication Trends ◽  
Content Type ◽  
Citation Network Analysis

PurposeThis article offers a bibliometric analysis and explores the relationships among the documents on ecopreneurship by using relational techniques. The results highlight the publication trends; most cited documents, top contributing authors, countries and institutions with highest productivity and most contributing journals to the research field.Design/methodology/approachInitially, 216 documents were retrieved from the Thompson Reuters Web of Science Core Collection database with three document types: articles, review and book review. All the documents were considered for the analysis. Then VOSviewer and bibliometric analysis using R with an inbuilt utility Biblioshiny were used together for co-word analysis, co-citation network analysis, generating collaboration networks and also generating a unique three-field plot to analyze the evolution of a research field.FindingsThe results highlight the publication trends: most cited documents, top contributing authors, countries and institutions with highest productivity and most contributing journals to the research field. The network analysis of co-authorship, co-citation, keyword co-occurrence and bibliographic coupling reveals most prominent relationships between authors, documents, co-cited references, sources and countries for the available documents on the research field.Research limitations/implicationsThe study helps not only in expansion of knowledgebase on the research topic but also in understanding the evolution of the ecopreneurship to provide research support further in this area.Originality/valueEcopreneurship is an emerging field of research connecting ecology and entrepreneurship together, making it a potential research area. The contributions made to this research field from 1989 to 2019 serve as a core for conducting this analysis. The study is an effort to help in coordinating research network across countries, authors and affiliating universities.

scholarly journals Dry Eye Analysis: A Citation Network Study

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Miguel Angel M. A. Sanchez-Tena ◽  
Cristina C. Alvarez-Peregrina ◽  
Cesar C. Villa-Collar
Keyword(s):  
Network Analysis ◽  
Dry Eye ◽  
Refractive Surgery ◽  
Citation Network ◽  
Research Field ◽  
Eye Problems ◽  
Quality Of Vision ◽  
Citation Network Analysis

Introduction. Dry eye is one of the most frequent eye problems with prevalence and incidence from 5% to 50%. Citation network analysis allows us to simplify information in a visual way and provides a better understanding of the research done in a specific field. The objective of this paper is to quantify and analyse the relationships among the scientific literature in this field using citation network analysis. Materials and Methods. The program used to analyse the citations was CitNetExplorer®. Previously, papers published in the research field during a predefined period were found using the keywords defined in Web of ScienceTM (WOS). Results. Using the keyword “dry eye,” during the period 2007 to 2018, the most cited paper is by Lemp, MA (2007), with a citation index score of 913 in our citation network containing 6,500 most relevant papers. Analysing clustering, we found 5 relevant groups that match the main areas of research in this field: definition and classification, treatment, retina, refractive surgery, and quality of vision. Core Publication is composed of 64% of the papers in the network, which is a high percentage. It indicates a clear focus on the research carried out in this field. Conclusions. This citation network analysis shows definition and classification of dry eye to be the most researched area in this field, followed by treatment.

Textile-based fiber optic sensors for health monitoring: A systematic and citation network analysis review

2021 ◽  
pp. 004051752110362
Author(s):  
Ka-Po Lee ◽  
Joanne Yip ◽  
Kit-Lun Yick ◽  
Chao Lu ◽  
Chris K Lo
Keyword(s):  
Network Analysis ◽  
Fiber Optic ◽  
Vital Signs ◽  
Citation Network ◽  
Fiber Optic Sensors ◽  
Superior Performance ◽  
Vital Signs Monitoring ◽  
Wear Comfort ◽  
Citation Network Analysis ◽  
Research Domains

Receptivity towards textile-based fiber optic sensors that are used to monitor physical health is increasing as they have good flexibility, are light in weight, provide wear comfort, have electromagnetic immunity, and are electrically safe. Their superior performance has facilitated their use for obtaining close to body measurements. However, there are many related studies in the literature, so it is challenging to identify the knowledge structure and research trends. Therefore, this article aims to provide an objective and systematic literature review on textile-based fiber optic sensors that are used for monitoring health issues and to analyze their trends through a citation network analysis. A full-text search of journal articles was conducted in the Web of Science Core Collection, and a total of 625 studies was found, with 47 that were used as the sample. Also, CitNetExplorer was used for analyzing the research domains and trends. Three research domains were identified, among them, “Flexible sensors for vital signs monitoring” is the largest research cluster, and most of the articles in this cluster focus on respiratory monitoring. Therefore, this area of study should probably be on the academic radar. The collection of data on textile-based fiber optic sensors is invaluable for evaluating degree of rehabilitation, detecting diseases, preventing accidents, as well as gauging the performance and training successfulness of athletes.

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