Visualizing Music Psychology: A Bibliometric Analysis of Psychology of Music, Music Perception, and Musicae Scientiae from 1973 to 2017

Music psychology has grown drastically since being established in the middle of the 19th century. However, until now, no large-scale computational bibliometric analysis of the scientific literature in music psychology has been carried out. This study aims to analyze all published literature from the journals Psychology of Music, Music Perception, and Musicae Scientiae. The retrieved literature comprised a total of 2,089 peer-reviewed articles, 2,632 authors, and 49 countries. Visualization and bibliometric techniques were used to investigate the growth of publications, citation analysis, author and country productivity, collaborations, and research trends. From 1973 to 2017, with a total growth rate of 11%, there is a clear increase in music psychology research (i.e., number of publications, authors, and collaborations), consistent with the general growth observed in science. The retrieved documents received a total of 33,771 citations ( M = 16.17, SD = 26.93), with a median (Q1—Q3) of 7 (2—20). Different bibliometric indicators defined the most relevant authors, countries, and keywords as well as how they relate and collaborate with each other. Differences between the three journals are also discussed. This type of analysis, not without its limitations, can help understand music psychology and identify future directions within the field.

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A bibliometric analysis of property valuation research

International Journal of Housing Markets and Analysis ◽

10.1108/ijhma-09-2020-0115 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

B .V Binoy ◽

M. A Naseer ◽

P.P Anil Kumar ◽

Nina Lazar

Keyword(s):

Bibliometric Analysis ◽

Large Scale ◽

R Package ◽

Data Availability ◽

Hedonic Price ◽

Content Type ◽

Property Valuation ◽

Real Estate Valuation ◽

Modeling Techniques ◽

Number Of Publications

Purpose Real estate valuation studies gained popularity with the availability of large-scale property transaction data in the latter part of the twentieth century. Hedonic price modeling (HPM) was the most popular method in the initial years until it was taken over by advanced modeling methods in the twenty-first century. Even though there exist a few literature reviews on this topic, no comprehensive bibliometric analysis is conducted in this area. In view of gaining a better understanding of the dynamics of property valuation studies, this paper aims to conduct a bibliometric analysis. Design/methodology/approach A comprehensive search in the Scopus database, followed by detailed screening resulted in 1,400 articles. The identified research articles spanning over five decades (1964–2019) are analyzed using the open-source R package “bibliometrix.” Findings The study found the USA to be the most productive country in various aspects, such as number of publications, number of authors and publication hotspots. The findings also demonstrate assessments on the publication trends, journals, citations, keywords, co-citation and collaboration networks. It was observed that there exists an upsurge in the number of publications after the year 2000 owing to improved data availability and better modeling techniques. Research limitations/implications This study is significant in understanding the major research areas and modeling techniques used in property valuation. Future studies can incorporate multiple database sources and include more articles. Originality/value The current study is one of the first bibliometric studies on property valuation. Previous studies have not explored the possibilities of geographic information system in bibliometric research. Spatial mapping and analysis of publications provide a geographical perspective of valuation research.

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Research Review of the Territory of the National Park “Gobi Gurvansaikhan”

Journal of Environmental Management and Tourism ◽

10.14505//jemt.v9.3(27).01 ◽

2018 ◽

Vol 9 (3) ◽

pp. 395

Author(s):

Zayakhuu BATBAATAR ◽

Meirzhan YESSENOV

Keyword(s):

Sustainable Development ◽

Bibliometric Analysis ◽

National Park ◽

Large Scale ◽

Scientific Basis ◽

Research Review ◽

The Sustainable Development ◽

Protected Natural Area ◽

Analytical Review ◽

Number Of Publications

The article is devoted to the results of the analytical review of the studies conducted in the Gobi Gurvansaikhan (Mongolia) national park from the time of its foundation till the present time. The main goal of the analysis was to take into account and evaluate previous experience in planning and organizing tourism activities at a specially protected natural area under study. At the same time, a bibliometric analysis of the data was conducted, which made it possible to clarify and systematize the thematic analysis of the previously performed work. The results are of interest to researchers involved in the sustainable development of Protected Areas, including their recreational development, long-term planning, and investment. Positive practices are considered to make it possible to ensure the preservation of the area under study taking into account the principles of sustainable development (including in the sphere of tourism and recreation). Special attention should be focused on the results of large-scale case studies carried out in the Gobi Gurvansaikhan National Park in 2000-2007. Based on the results of the bibliometric analysis, more than 131 publications were selected and analyzed, as well as presentations, scientific and information articles of both Mongolian and foreign scientists. As a result, it was possible to identify a vector of research in recent years that is associated with an increase in the number of publications on recreational and tourist issues. It is due to the increase in tourist flows and the need to create a scientific basis for managing these flows in order to provide the sustainability of the protected area development. Conclusions and generalizations that characterize the results of the analysis will be useful both for researchers dealing with the sustainable development of the territories and for administrative and planning bodies, economic entities.

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What counts as Aesthetics in Science? A Bibliometric Analysis and Visualization of the Scientific Literature from 1970 to 2018.

10.31234/osf.io/7xhdg ◽

2019 ◽

Author(s):

Manuel Anglada-Tort ◽

Martin Skov

Keyword(s):

Bibliometric Analysis ◽

Research Strategies ◽

Scientific Enterprise ◽

Main Research ◽

Research Areas ◽

Highly Active ◽

Scientific Disciplines ◽

Total Growth ◽

Common Problems ◽

Clear Increase

Many scientific disciplines give rise to research published under the moniker of aesthetics. For instance, both psychology and neuroscience have highly active subfields focused on aesthetics research, known as empirical aesthetics and neuroaesthetics. However, it remains unclear what aesthetics is about, and, consequently, if aesthetics research pursued by different scientific disciplines addresses common problems. It is therefore difficult to assess how well aesthetics is doing as a scientific enterprise, identify and compare its main subfields, and quantify its productivity and developments. To give an unbiased account of what counts as aesthetics across scientific disciplines, we conducted a bibliometric analysis of every publication found in Web of Science tagged as aesthetics. Spanning 1970 to 2018, the retrieved literature comprised a total of 27,159 papers, 45,832 authors, and 123 countries. Visualization and bibliometric techniques were used to investigate the main research trends and subfields, growth of publications, citation analysis, and country productivity and collaborations. With a total growth rate of 10.2%, there was a clear increase in aesthetics research over time. The retrieved documents received a total of 217,93 citations, with a mean of 8.02 citations per document (SD= 25.7). Both a cluster analysis of the data, and a comparative analysis a posteriori, revealed that the aesthetics literature clusters into distinct research areas that differ significantly in their object of interest, research productivity and impact. This finding suggests that aesthetics is better thought of as a confederate of research traditions than a whole unified by common problems and research strategies.

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Music and Affective Phenomena

Journal of Research in Music Education ◽

10.1177/0022429413519269 ◽

2014 ◽

Vol 62 (1) ◽

pp. 66-77 ◽

Cited By ~ 6

Author(s):

Frank M. Diaz ◽

Jason M. Silveira

Keyword(s):

Music Education ◽

Bibliometric Analysis ◽

Music Perception ◽

Analysis Data ◽

Music Research ◽

Psychology Of Music ◽

Education Psychology

The purpose of this study was to establish trends in the study of music and affective phenomena through a content and bibliometric analysis of three eminent music research journals, the Journal of Research in Music Education, Psychology of Music, and Music Perception, for the years 1990 through 2009. Excluding editorials, paper responses, and book reviews, 1,293 articles were examined, resulting in 286 (22%) publications that met criteria for further analysis. Data indicated several trends with respect to the sample analyzed, including a notable but not significant decrease of affective studies in the Journal of Research in Music Education, with significant increases in the journal Music Perception. Other trends indicated the emergence of topics and methods that were less prevalent when compared to the overall sample but that evidenced significant increases throughout the period analyzed. These increases occurred for topics relating to expression, physiological and neurological issues and for the use of descriptive methodologies. Other notable trends included increases in examinations of folk, jazz, and world musics.

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The neo-Pythagorean view of musical structure in the light of music psychology

Roczniki Psychologiczne ◽

10.18290/rpsych.2019.22.2-2 ◽

2020 ◽

Vol 22 (2) ◽

pp. 121-134

Author(s):

Piotr Podlipniak

Keyword(s):

Music Perception ◽

Musical Structure ◽

Music Psychology ◽

Tonal Hierarchy ◽

Psychology Of Music ◽

Psychological Knowledge ◽

Human Brains ◽

Popular Speech

The aim of this paper is to show why the neo-Pythagorean claims concerning musical structure are out-of-date and require the incorporation of contemporary psychological knowledge. The neo-Pythagorean view of musical structure has been analyzed and confronted with the contemporary neuropsychological view of music perception. It has been also suggested that musical intervals exist solely in human brains as a kind of interpretation of acoustic sounds. These sounds can be interpreted differently depending on many factors, which the popular speech-to-song illusion clearly illustrates. Another example of neo-Pythagorean ideas about musical structure that need psychological knowledge is tonal hierarchy, which also exists solely in human brains. Therefore, the popular musicological description of musical intervals in terms of mathematical proportions is misleading. It has been proposed that current musicological theories should always be confronted and consistent with contemporary psychological knowledge. This implies closer cooperation between musicology and the psychology of music.

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Bibliometric Analysis of Current Drug Metabolism: The Twentieth Anniversary from 2000-2019

Current Drug Metabolism ◽

10.2174/1389200221666200826094233 ◽

2020 ◽

Vol 21 (9) ◽

pp. 685-703

Author(s):

Waseem Hassan ◽

Jean Paul Kamdem ◽

Mohammad Amjad Kamal ◽

Joao Batista Teixeira da Rocha

Keyword(s):

United States ◽

Drug Metabolism ◽

Bibliometric Analysis ◽

Continuous Growth ◽

H Index ◽

Current Drug ◽

The Usa ◽

Twentieth Anniversary ◽

Number Of Publications ◽

Number Of Citations

Background: Scopus is regularly covering Current Drug Metabolism from 2000 onwards. Objective: The major objective is to perform the 1st bibliometric analysis of Current Drug Metabolism (CDM). Methods: The data was retrieved from Scopus in April-May 2020 for detail analysis. Results: The total number of publications was found to be 1551, with 955 reviews (61.57%) and 466 articles (30.05%). From 2000 onwards, we calculated the relative growth rate and doubling time. Based on the number of publications, total 4418 authors, 3235 institutions and 83 countries were directly involved in all publications. M.A. Kamal is the highly productive scientist with fifty-three (53 or 3.73%) publications, King Abdulaziz University is the top university with the highest number of publications (58 or 4.13%) and the USA is the top-ranked country with 365 publications (25.96%). We also provided the h-index, total citations (TC), h-index without self-citations (WSC) and total WSC of the top ten authors, universities and countries. In citations analysis, Prof. Zhou S.F. was the top scientist with the highest (1594) number of citations. In institutional category Department of Drug Metabolism, Merck Research Laboratories, Rahway, United States, is the top ranked institutes with 654 total citations. While, United States is the top-ranked country with 18409 total citations. In co-words analysis, 3387, 30564 and 17333 terms in titles of the manuscripts, abstracts and keywords were recorded, respectively. This indicated that CDM principally focused on understanding drug development ranging from its efficacy to delivery, metabolism, distribution, safety and mechanism of actions. Similarly, various specific drugs were thoroughly discussed in publications. Various enzymatic, genetics, proteins and cancer-related aspects were also described. For data presentations, we used VOSviewer graphical maps. Conclusion: The data confirm that CDM showed continuous growth in the number of publications and citations. However significant measures are needed to make overall progress and improve the rankings in relevant categories.

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A Bibliometric Analysis of Global Research on Lophomonas sp. in Scopus (1933-2019)

Infectious Disorders - Drug Targets ◽

10.2174/1871526520666200727153142 ◽

2020 ◽

Vol 20 ◽

Author(s):

Masoud Keighobadi ◽

Maryam Nakhaei ◽

Ali Sharifpour ◽

Ali Akbar Khasseh ◽

Sepideh Safanavaei ◽

...

Keyword(s):

Bibliometric Analysis ◽

International Collaboration ◽

Research Articles ◽

High Quality ◽

The Real ◽

The Us ◽

The World ◽

Scopus Database ◽

Number Of Publications ◽

Global Research

Background: This study was designed to analyze the global research on Lophomonas spp. using bibliometric techniques. Methods: A bibliometric research was carried out using the Scopus database. The analysis unit was the research articles conducted on Lophomonas spp. Results: Totally, 56 articles about Lophomonas spp. were indexed in the Scopus throughout 1933-2019 ( 87 years ) with the following information: (A) The first article was published in 1933; (B) 21 different countries contributed in studies related to Lophomonas spp.; (C) China ranked first with 16 publications about Lophomonas spp.; and (D) “Brugerolle, G” and “Beams, H.W.” from France and the US participated in 4 articles respectively, as the highest number of publications in the Lophomonas spp. network. Discussion: After 87 years, Lophomonas still remains unknown for many researchers and physicians around the world. Further studies with high quality and international collaboration are urgently needed to determine different epidemiological aspects and the real burden of the mysterious parasite worldwide.

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A Survey on Contrastive Self-Supervised Learning

Technologies ◽

10.3390/technologies9010002 ◽

2020 ◽

Vol 9 (1) ◽

pp. 2

Author(s):

Ashish Jaiswal ◽

Ashwin Ramesh Babu ◽

Mohammad Zaki Zadeh ◽

Debapriya Banerjee ◽

Fillia Makedon

Keyword(s):

Computer Vision ◽

Supervised Learning ◽

Language Processing ◽

Large Scale ◽

Performance Comparison ◽

Extensive Review ◽

Future Directions ◽

Dominant Component ◽

Supervised Methods ◽

The Cost

Self-supervised learning has gained popularity because of its ability to avoid the cost of annotating large-scale datasets. It is capable of adopting self-defined pseudolabels as supervision and use the learned representations for several downstream tasks. Specifically, contrastive learning has recently become a dominant component in self-supervised learning for computer vision, natural language processing (NLP), and other domains. It aims at embedding augmented versions of the same sample close to each other while trying to push away embeddings from different samples. This paper provides an extensive review of self-supervised methods that follow the contrastive approach. The work explains commonly used pretext tasks in a contrastive learning setup, followed by different architectures that have been proposed so far. Next, we present a performance comparison of different methods for multiple downstream tasks such as image classification, object detection, and action recognition. Finally, we conclude with the limitations of the current methods and the need for further techniques and future directions to make meaningful progress.

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Bibliometric Analysis of SARS, MERS, and COVID-19 Studies from India and Connection to Sustainable Development Goals

Sustainability ◽

10.3390/su13147555 ◽

2021 ◽

Vol 13 (14) ◽

pp. 7555

Author(s):

Raghu Raman ◽

Ricardo Vinuesa ◽

Prema Nedungadi

Keyword(s):

United States ◽

Sustainable Development ◽

Bibliometric Analysis ◽

Data Access ◽

Well Being ◽

Good Health ◽

The United States ◽

Social Sciences And Humanities ◽

Semantic Associations ◽

Number Of Publications

India is ranked fifth in the world in terms of COVID-19 publications accounting for 6.7% of the total. About 60% of the COVID-19 publications in the year 2020 are from United States, China, UK, Italy, and India. We present a bibliometric analysis of the publication trends and citation structure along with the identification of major research clusters. By performing network analysis of authors, citations, institutions, keywords, and countries, we explore semantic associations by applying visualization techniques. Our study shows lead taken by the United States, China, UK, Italy, India in COVID-19 research may be attributed to the high prevalence of COVID-19 cases in those countries witnessing the first outbreak and also due to having access to COVID-19 data, access to labs for experimental trials, immediate funding, and overall support from the govt. agencies. A large number of publications and citations from India are due to co-authored publications with countries like the United States, UK, China, and Saudi Arabia. Findings show health sciences have the highest number of publications and citations, while physical sciences and social sciences and humanities counts were low. A large proportion of publications fall into the open-access category. With India as the focus, by comparing three major pandemics—SARS, MERS, COVID-19—from a bibliometrics perspective, we observe much broader involvement of authors from multiple countries for COVID-19 studies when compared to SARS and MERS. Finally, by applying bibliometric indicators, we see an increasing number of sustainable development-related studies from the COVID-19 domain, particularly concerning the topic of good health and well-being. This study allows for a deeper understanding of how the scholarly community from a populous country like India pursued research in the midst of a major pandemic which resulted in the closure of scientific institutions for an extended time.

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Genetic and Transcriptomic Biomarkers in Neurodegenerative Diseases: Current Situation and the Road Ahead

Cells ◽

10.3390/cells10051030 ◽

2021 ◽

Vol 10 (5) ◽

pp. 1030

Author(s):

Julie Lake ◽

Catherine S. Storm ◽

Mary B. Makarious ◽

Sara Bandres-Ciga

Keyword(s):

Neurodegenerative Diseases ◽

Large Scale ◽

Disease Diagnosis ◽

Open Science ◽

Future Directions ◽

The Road ◽

Current State ◽

Molecular Complexity ◽

Science Framework ◽

Lateral Sclerosis

Neurodegenerative diseases are etiologically and clinically heterogeneous conditions, often reflecting a spectrum of disease rather than well-defined disorders. The underlying molecular complexity of these diseases has made the discovery and validation of useful biomarkers challenging. The search of characteristic genetic and transcriptomic indicators for preclinical disease diagnosis, prognosis, or subtyping is an area of ongoing effort and interest. The next generation of biomarker studies holds promise by implementing meaningful longitudinal and multi-modal approaches in large scale biobank and healthcare system scale datasets. This work will only be possible in an open science framework. This review summarizes the current state of genetic and transcriptomic biomarkers in Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis, providing a comprehensive landscape of recent literature and future directions.

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