Gamification Research in View of Bibliometrics: A Literature Trend, Bibliographic Coupling, and Co-citation Analysis: An Abstract

Author(s):  
Gunwoo Yoon
2020 ◽  
pp. 1-16
Author(s):  
Imran Ahmed Shahzad ◽  
Muhammad Farrukh ◽  
Yihua Wu ◽  
Nada Trunk

BACKGROUND: For augmentation and sustainability of Human Systems Management (HSM), it is significant to analyse and reposition journals, which is very well done by bibliometric analysis. OBJECTIVE: The study aims to provide the retrospective of HSM between 1980– 2019. METHOD: Scopus database has been employed to bibliographic indicators for the representation of available data for forty years. By utilising the VOSviewer software, bibliographic materials being drawn from keywords, graphical visuals, bibliographic coupling & co-citation analysis have been done. RESULTS: Results enabled to establish that the average number of publications remained almost the same throughout forty years, tinting the journal has been as vital in 2019 for researchers as it was in 1980. Citations originated drastic mounting with recently published documents in comparison with earlier production. CONCLUSIONS: Authors and researchers are suggested to cover knowledge and knowledge management related articles. This study suggests management to ensure the inculcation of more related areas in the scope by announcing special issues to broaden the journals’ scope as it remained the main reason for limiting HSM from gaining as much attention as it deserved.


2021 ◽  
Vol 33 ◽  
Author(s):  
Paula Carina de ARAÚJO ◽  
Leilah Santiago BUFREM

Abstract This study aims to analyze the intellectual foundation of the literature on knowledge organization published from 1972 to 2018 by authors enrolled in the Research Productivity Fellowship from Conselho Nacional de Desenvolvimento Científico e Tecnológico, in Brazil. The corpus of analysis is composed of 166 papers indexed in Base de Dados Referencial de Artigos de Periódicos em Ciência da Informação, which is a database that gathers the scientific literature published in Information Science journals in Brazil. It is an exploratory study that uses citation analysis as the methodological procedure, through author co-citation analysis and author bibliographic coupling. Fujita is identified as the most productive author, with 18 articles. Dahlberg is the most cited author, with 53 citations. The highest frequency of author co-citation is between Hjørland and Dahlberg; Tálamo and Kobashi. They are the seminal authors to the Brazilian scientists studied in this paper. The strongest relationships in the author bibliographic coupling network are between Lara and Bufrem, Lara and Guimarães, and Bufrem and Fujita. They cited 9 authors in common in the papers analyzed in this research. The conclusion is that there is an influence of European literature among the scientists addressed in this study. The results indicate the possibility of developing diachronic studies on the continuing influences of cited authors, especially from seminal authors, to analyze their permanence or transience over time.


2006 ◽  
Author(s):  
Emily J. Purcell ◽  
David T. Dahlbeck ◽  
Laverne A. Berkel ◽  
Johanna E. Nilsson ◽  
Lisa Y. Flores

2011 ◽  
Vol 4 (2) ◽  
pp. 16-17
Author(s):  
Dr. S. Raja Dr. S. Raja ◽  
◽  
Dr. S.Kishore Kumar

2007 ◽  
Vol 148 (4) ◽  
pp. 165-171
Author(s):  
Anna Berhidi ◽  
Edit Csajbók ◽  
Lívia Vasas

Nobody doubts the importance of the scientific performance’s evaluation. At the same time its way divides the group of experts. The present study mostly deals with the models of citation-analysis based evaluation. The aim of the authors is to present the background of the best known tool – Impact factor – since, according to the authors’ experience, to the many people use without knowing it well. In addition to the „nonofficial impact factor” and Euro-factor, the most promising index-number, h-index is presented. Finally new initiation – Index Copernicus Master List – is delineated, which is suitable to rank journals. Studying different indexes the authors make a proposal and complete the method of long standing for the evaluation of scientific performance.


2018 ◽  
Vol 2 (2) ◽  
pp. 70-82 ◽  
Author(s):  
Binglu Wang ◽  
Yi Bu ◽  
Win-bin Huang

AbstractIn the field of scientometrics, the principal purpose for author co-citation analysis (ACA) is to map knowledge domains by quantifying the relationship between co-cited author pairs. However, traditional ACA has been criticized since its input is insufficiently informative by simply counting authors’ co-citation frequencies. To address this issue, this paper introduces a new method that reconstructs the raw co-citation matrices by regarding document unit counts and keywords of references, named as Document- and Keyword-Based Author Co-Citation Analysis (DKACA). Based on the traditional ACA, DKACA counted co-citation pairs by document units instead of authors from the global network perspective. Moreover, by incorporating the information of keywords from cited papers, DKACA captured their semantic similarity between co-cited papers. In the method validation part, we implemented network visualization and MDS measurement to evaluate the effectiveness of DKACA. Results suggest that the proposed DKACA method not only reveals more insights that are previously unknown but also improves the performance and accuracy of knowledge domain mapping, representing a new basis for further studies.


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