What publications metadata tell us about the evolution of a scientific community: the case of the Brazilian human–computer interaction conference series

Barbosa, Simone Diniz Junqueira; Silveira, Milene Selbach; Gasparini, Isabela

doi:10.1007/s11192-016-2162-4

Cited by 43 publications

(26 citation statements)

References 19 publications

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“…Gasparini, Kimura, and Pimenta [4] presented a visual exploration of the field of humancomputer interaction in Brazil from a 15-year analysis of paper production in the Brazilian Symposium on Human Factors in Computing Systems (IHC). Recently, Barbosa et al [5] published an analysis of the same conference series. Chen, Song, and Zhu [6] opened a wide range of opportunities for research agendas and trends in Entity Relationship conferences.…”

Section: Related Workmentioning

confidence: 99%

“…The academic community organizes a large number of conferences, in the most diverse areas, generating a rich set of bibliographic data. Researchers explore such data to discover topics of interest, find related research groups, and estimate the impact of authors and publications [1][2][3][4][5][6]. Choosing a good conference or journal in which to publish an article is in fact very important to researchers.…”

Section: Introductionmentioning

confidence: 99%

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Techniques for comparing and recommending conferences

et al. 2017

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This article defines, implements, and evaluates techniques to automatically compare and recommend conferences. The techniques for comparing conferences use familiar similarity measures and a new measure based on co-authorship communities, called co-authorship network community similarity index. The experiments reported in the article indicate that the technique based on the new measure performs better than the other techniques for comparing conferences, which is therefore the first contribution of the article. Then, the article focuses on three families of techniques for conference recommendation. The first family adopts collaborative filtering based on the conference similarity measures investigated in the first part of the article. The second family includes two techniques based on the idea of finding, for a given author, the strongest related authors in the co-authorship network and recommending the conferences that his co-authors usually publish in. The first member of this family is based on the Weighted Semantic Connectivity Score-WSCS, which is accurate but quite costly to compute for large co-authorship networks. The second member of this family is based on a new score, called the Modified Weighted Semantic Connectivity Score-MWSCS, which is much faster to compute and as accurate as the WSCS. The third family includes the Cluster-WSCS-based and the Cluster-MWSCS-based conference recommendation techniques, which adopt conference clusters generated using a subgraph of the co-authorship network. The experiments indicate as the best performing conference recommendation technique the Cluster-WSCS-based technique. This is the second contribution of the article. Finally, the article includes experiments that use data extracted from the DBLP repository and a webbased application that enables users to interactively analyze and compare a set of conferences.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Techniques for comparing and recommending conferences

et al. 2017

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“…Such methodologies have been used to determine the impact of research and map scientific networks while being able to monitor the trends and evolution within scientific fields [ 10 ]. They have been widely used to assist researchers in appraising how research communities are trending or evolving through reflections of scientific publications [ 11 ] and in specific disease fields, such as diabetes [ 12 , 13 , 14 ]. This literature metrology system is increasingly popular for its application toward drafting a country’s healthcare policy or clinical practice guidelines.…”

Section: Introductionmentioning

confidence: 99%

Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study

Ganasegeran

Hor

Jamil

et al. 2021

IJERPH

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The escalated burden of diabetes on the population’s health has catalyzed rigorous scientific research to produce appropriate evidence for treatment and control. Malaysia suffers from the leading diabetes epidemic within the Western Pacific region. It is crucial to map the scientific landscape of diabetes research for the country to identify trends in productivity and determine whether research efforts are directed toward the needs-gaps priority for evidence synthesis that could be used for the drafting of policies and guidelines. This systematic scientometrics study was conducted to map the scientific research output (trends and distribution, citation frequency, keywords link visualization, and thematic cluster conceptualization) related to diabetes between 2000–2018 in Malaysia. Using three international databases (PubMed, EMBASE, Scopus) and one local database (MyCite), scientific publication records related to diabetes in Malaysia between 2000 and 2018 were retrieved and analyzed using quantitative and qualitative methodologies. Microsoft Excel 2016, EndNote X9.2, BibExcel 2016, GraphPad Prism 8.0.1, VOS viewer software 1.6.13, and R software version 1.3.959 were used to analyze the trend and contents of diabetes publications. A total of 2094 publication records that accounted for 35,497 citations were analyzed. Kuala Lumpur was the most scientifically productive state in Malaysia, contributing 754 papers. Medical Journal of Malaysia had the highest number of publications. The inflection point of the Malaysian diabetes research output was in 2013, with most publications being non-collaborative research works. Most publications originated from academia, especially from local public universities. The overall publication productivity of diabetes research in Malaysia was conceptualized into eleven thematic clusters, with clinical and animal studies being the most prevalent themes. The diabetes literature in Malaysia has grown steadily over the past 19 years. However, the cumulative evidence remains inadequate and is insufficiently powered to guide policymaking and the control of diabetes. It does not yet seem feasible to direct the diabetes epidemic curve to a plateau for the Malaysian population based on Malaysian diabetes publications.

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“…Although the explosive growth of scientific publications recording industrialization of science raises the cost of bibliometric analysis, computerized methods like data mining, data visualization, semantic analysis, and parallel computing solve this problem with their processing power (Mingers and Leydesdorff 2015). Taking into account the advantage and adjustability, the bibliometric analysis of scientific publications has broad application in emerging disciplines to understand their nature and predict their future (Barbosa et al 2017).…”

Section: Introductionmentioning

confidence: 99%

How has Lunar science developed? A bibliometric analysis and systematic review

Wang

Chen

et al. 2020

Open Astronomy

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Lunar exploration is a significant process to unravel the evolutionary history of the Earth-Moon system and the pivotal foundation for the exploration of the solar system. A total of 49,161 articles recorded in a comprehensive online literature database between 1959 and 2018 were reviewed to address the development of lunar science in six aspects: publication output volume, keywords, journals, authorship, collaboration, and national output efficiency. The development of lunar science experienced rise and fall corresponding to a log-linearized model that could be clearly divided into three stages: space race (1959-1977), silent stage (1978-1996) and renaissance (1997-2018). Keywords extracted from publications as reliable predictors of multidiscipline showed that the well-developed disciplines of lunar science were astronomy, space engineering, earth and planetary science, while other disciplines played important roles in different stages. Researchers had become cooperative rather than independent in publishing in the past sixty years. Countries with higher average annual GDP contributed more to the development of lunar science. The findings of this work help scholars comprehend the development of lunar science for the past, present and future.

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What publications metadata tell us about the evolution of a scientific community: the case of the Brazilian human–computer interaction conference series

Cited by 43 publications

References 19 publications

Techniques for comparing and recommending conferences

Techniques for comparing and recommending conferences

Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study

How has Lunar science developed? A bibliometric analysis and systematic review

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