scholarly journals Twenty Years of Entropy Research: A Bibliometric Overview

Entropy ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 694 ◽  
Author(s):  
Weishu Li ◽  
Yuxiu Zhao ◽  
Qi Wang ◽  
Jian Zhou

Entropy, founded in 1999, is an emerging international journal in the field of entropy and information studies. In the year of 2018, the journal enjoyed its 20th anniversary, and therefore, it is quite reasonable and meaningful to conduct a retrospective as its birthday gift. In accordance with Entropy’s distinctive name and research area, this paper creatively provides a bibliometric analysis method to not only look back at the vicissitude of the entire entropy topic, but also witness the journal’s growth and influence during this process. Based on 123,063 records extracted from the Web of Science, the work in sequence analyzes publication outputs, high-cited literature, and reference co-citation networks, in the aspects of the topic and the journal, respectively. The results indicate that the topic now has become a tremendous research domain and is still roaring ahead with great potentiality, widely researched by different kinds of disciplines. The most significant hotspots so far are suggested as the theoretical or practical innovation of graph entropy, permutation entropy, and pseudo-additive entropy. Furthermore, with the rapid growth in recent years, Entropy has attracted many dominant authors of the topic and experiences a distinctive geographical publication distribution. More importantly, in the midst of the topic, the journal has made enormous contributions to major research areas, particularly being a spear head in the studies of multiscale entropy and permutation entropy.

2021 ◽  
pp. 66-75
Author(s):  
T. V. Busygina ◽  
V. V. Rykova

The paper presents the scientometric analysis of the information array on paleopedology from the international databases of scientific citation Web of Science (Clarivate) and Scopus (Elsevier). The analysis results show the trends in the development of this research area over a fifty-year period and its positive dynamics; identify the countries the most actively studying paleosols, authors working successfully in this field and their affiliations, organizations financing scientific research on the topic, as well as frequently cited articles; name the language and specific composition of documents, periodicals with the greatest publication activity; demonstrates the thematic structure of documents in the information array according with the branches of knowledge (Scopus), research areas and subject categories (Web of Science). In addition, the information array on paleopedology was processed using the CiteSpace software, which is freely available to users and allows creating and analyzing co-citation networks based on information arrays selected from databases of scientific citation; it visualize the research field by building networks of document co-citation and term use, identifying research areas. The method of analyzing the document citation provides the network clusterization. By location of clusters labeled with terms from citing articles and symbolizing scientific trends, one can see how research on paleopedology has developed in the world. The results of the scientometric analysis can be useful for specialists in the field of paleopedology to optimize and coordinate research with leading experts and research centers dealing with this problem, as well as representatives of grant-giving organizations.


2017 ◽  
Vol 113 (11/12) ◽  
Author(s):  
Xolani Makhoba ◽  
Anastassios Pouris

Nanotechnology is a fast-growing scientific research area internationally and is classified as an important emerging research area. In response to this importance, South African researchers and institutions have also increased their efforts in this area. A bibliometric study of articles as indexed in the Web of Science considered the development in this field with respect to the growth in literature, collaboration profile and the research areas that are more within the country’s context. We also looked at public institutions that are more active in this arena, including government policy considerations as guided by the National Nanotechnology Strategy launched in 2005. We found that the number of nanotechnology publications have shown a remarkable growth ever since the launch of the strategy. Articles on nanotechnology have been published in numerous journals, with Electrochimica Acta publishing the most, followed by Journal of Nanoscience and Nanotechnology. These publications fall within the traditional domains of chemistry and physics. In terms of the institutional profile and based on publication outputs over the period reviewed, the Council for Scientific and Industrial Research is a leading producer of publications in nanotechnology, followed by the University of the Witwatersrand – institutions that are both based in the Gauteng Province. There is a high level of international collaboration with different countries within this field – the most productive collaboration is with India, followed by the USA and China, as measured through co-authorship.


Author(s):  
Henrique Nascimento ◽  
Clara Martinez-Perez ◽  
Cristina Alvarez-Peregrina ◽  
Miguel Ángel Sánchez-Tena

Background: Sports vision is a relatively new specialty, which has attracted particular interest in recent years from trainers and athletes, who are looking at ways of improving their visual skills to attain better performance on the field of play. The objective of this study was to use citation networks to analyze the relationships between the different publications and authors, as well as to identify the different areas of research and determine the most cited publication. Methods: The search for publications was carried out in the Web of Science database, using the terms “sport”, “vision”, and “eye” for the period between 1911 and August 2020. The publication analysis was performed using the Citation Network Explorer and CiteSpace software. Results: In total, 635 publications and 801 citations were found across the network, with 2019 being the year with the highest number of publications. The most cited publication was published in 2002 by Williams et al. By using the clustering functionality, four groups covering the different research areas in this field were found: ocular lesion, visual training methods and efficiency, visual fixation training, and concussions. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on sports vision.


2021 ◽  
Author(s):  
Suad Ibrahim Huseen ◽  
Ola Khaled Elakel ◽  
Ahmed Awaisu ◽  
Mohamed Izham Ibrahim

Background: Qatar is facing an increased incidence of cardiovascular diseases (CVDs). CVDs research is one of the country's priority research areas according to Qatar National Research Funds (QNRF) and Qatar University research roadmaps. Tremendous amount of investment and funding has been dedicated to this area. Study objective: This bibliometric analysis study aimed to provide a quantitative and qualitative description of CVD-related research in Qatar over the last 20 years. Method: Literature search was conducted through Scopus, PubMed, Web of Science, and Cochrane. Research published between 2000 and 2020 were included. A preliminary analysis was done for the 534 documents published in the period between 2018 - 2020. Results: There was about a 42% increase in publications from 2018 to 2020. Almost half of the publications (48%) were published in first quartile ranked journals (Q1). Stroke was the main covered research area. Approximately 44% of the publications had a main author from a Qatari affiliation, and 56% of the Qatari funded publication received the grants from QNRF. Conclusion: This study will serve as a tool for better allocation of funding and grants in CVD-related research. Upon the completion of the study, we will be able to visualize more clearly and make a conclusion about CVD-related research in Qatar.


2021 ◽  
Vol 13 (16) ◽  
pp. 8795
Author(s):  
Xiaochen Zhang ◽  
Xiaoyu Yao ◽  
Lanxin Hui ◽  
Fuchuan Song ◽  
Fei Hu

The innovations in the field of specialized navigation systems have become prominent research topics. As an applied science for people with special needs, navigation aids for the visually impaired are a key sociotechnique that helps users to independently navigate and access needed resources indoors and outdoors. This paper adopts the informetric analysis method to assess the current research and explore trends in navigation systems for the visually impaired based on bibliographic records retrieved from the Web of Science Core Collection (WoSCC). A total of 528 relevant publications from 2010 to 2020 were analyzed. This work answers the following questions: What are the publication characteristics and most influential publication sources? Who are the most active and influential authors? What are their research interests and primary contributions to society? What are the featured key studies in the field? What are the most popular topics and research trends, described by keywords? Additionally, we closely investigate renowned works that use different multisensor fusion methods, which are believed to be the bases of upcoming research. The key findings of this work aim to help upcoming researchers quickly move into the field, as they can easily grasp the frontiers and the trend of R&D in the research area. Moreover, we suggest the researchers embrace smartphone-based agile development, as well as pay more attention to phone-based prominent frameworks such as ARCore or ARKit, to achieve a fast prototyping for their proposed systems. This study also provides references for the associated fellows by highlighting the critical junctures of the modern assistive travel aids for people with visual impairments.


2020 ◽  
Vol 18 (3) ◽  
pp. 44-52
Author(s):  
V. N. Tregubov

Contemporary smart mobility technology makes it possible to solve the problems of urban transport, improving quality of urban mobility, increasing availability of transport, and ensuring its efficiency. The objective of the study is to identify key trends of research on smart mobility in recent scientific sources. The author, using VOS Viewer program, carried out a bibliometric analysis of publications indexed in the Web of Science and Scopus databases and containing keywords related to smart urban mobility. Co-citations, cross-references, shared keywords, co-authorships have been analyzed for the entire set of selected publications. As a result, a map of links between publications in the field of smart mobility was built, defining existing relationships between keywords and authors in this area. Also, a map of clusters was built , which displays proximity of publications to each other. A cluster comprises a group of research closely related via research topics, authors, and keywords. Clustering of publications was conducted followed by identifying six clusters, each of which reflects single promising research area in the field of smart mobility. The results obtained make it possible to identify promising development trends for smart mobility through automated processing of a highquality array of publications. The results can be used by municipal officials, transportation business and academia to review and analyze emerging smart mobility technologies and to make informed urban transport planning decisions.


2021 ◽  
Vol 10 (7) ◽  
pp. 1340
Author(s):  
Miguel Ángel Sánchez-Tena ◽  
Clara Martinez-Perez ◽  
Cesar Villa-Collar ◽  
Cristina Alvarez-Peregrina

Background: The main objective of this study was to use citation networks to analyze the relationship between different publications on the impact of COVID-19 at an ocular level and their authors. Furthermore, the different research areas will be identified, and the most cited publication will be determined. Materials and Methods: The publications were searched within the Web of Science database, using “ocular”, “SARS-CoV-2”, “ophthalmology”, “eyesight”, and “COVID-19” as keywords for the period between January 2020 and January 2021. The Citation Network Explorer and the CiteSpace software were used to analyze the different publications. Results: A total of 389 publications with 890 citations generated on the web were found. It must be highlighted that July was the month with the largest number of publications. The most cited ones were “Characteristics of Ocular Findings of Patients with Coronavirus Disease 2019 (COVID-19) in Hubei Province, China” by Wu et al., which was published in May 2020. Three groups covering the different research areas in this field were found using the clustering functions: ocular manifestations, teleophthalmology, and personal protective equipment. Conclusions: The citation network has shown a comprehensive and objective analysis of the main studies on the impact of COVID-19 in ocular disease.


2020 ◽  
Vol 36 (4) ◽  
pp. 1199-1211
Author(s):  
Jennifer Parker ◽  
Kristen Miller ◽  
Yulei He ◽  
Paul Scanlon ◽  
Bill Cai ◽  
...  

The National Center for Health Statistics is assessing the usefulness of recruited web panels in multiple research areas. One research area examines the use of close-ended probe questions and split-panel experiments for evaluating question-response patterns. Another research area is the development of statistical methodology to leverage the strength of national survey data to evaluate, and possibly improve, health estimates from recruited panels. Recruited web panels, with their lower cost and faster production cycle, in combination with established population health surveys, may be useful for some purposes for statistical agencies. Our initial results indicate that web survey data from a recruited panel can be used for question evaluation studies without affecting other survey content. However, the success of these data to provide estimates that align with those from large national surveys will depend on many factors, including further understanding of design features of the recruited panel (e.g. coverage and mode effects), the statistical methods and covariates used to obtain the original and adjusted weights, and the health outcomes of interest.


2017 ◽  
Vol 6 (1) ◽  
pp. 91
Author(s):  
Roveneldo Roveneldo

This research discusses the differences of vowel correspondences, vowel, and  consonant variations of Tulangbawang dialect of Lampung language in six research areas. The data collecting technique was conducted by applying  dialectology method. Moreover, this research used the list of questions  that  listed in Swadesh’s basic vocabularies. The result showed that there are  differences in the linguistic elements in Lampung language which include  the  differences in phonology, morphology, and lexicon. In the phonological differences, it was found that there are one vowel correspondence, eleven vowel variations, and twenty three consonant variations. In general, vowel correspondence lies in the end of words, and the tendency of occurring is found  in the research area 1, 3, 4, and 5. All research areas always have similarities  but there are various changes for each correspondence in research area number  six. In the morphological differences, there are differences in the form of suffixes namely correspondences. Besides, there are some lexical differences found in the six research areas.Abstrak Penelitian ini membahas perbedaan korespondensi vokal, variasi vokal, dan variasi konsonan dalam bahasa Lampung dialek Tulangbawang di 6 titik pengamatan. Pengambilan data dilakukan dengan menggunakan metode dialektologi. Selain itu, penelitian ini menggunakan daftar pertanyaan yang digunakan pada 200 kosakata dasar swadesh. Ditemukan perbedaan unsur-unsur kebahasaan dalam bahasa Lampung yang meliputi perbedaan; fonologi, morfologi, dan leksikon. Perbedaan fonologi ditemukan satu korespondensi vokal, sebelas variasi vokal, dan dua puluh tiga variasi konsonan. Umumnya korespondensi vokal posisi akhir kata, ada kecendrungan pada daerah titik pengamatan 1, 3, 4, dan 5. Kesemua itu selalu memiliki kesamaan walaupun pada enam daerah titik pengamatan memiliki perubahan yang berbeda-beda untuk setiap korespondensi yang ditemukan. Dalam perbedaan morfologi terdapat perbedaan bentuk sufiks yang berupa korespondensi. Selain itu, perbedaan leksikon cukup banyak ditemukan pada enam titik daerah pengamatan.


2021 ◽  
pp. 1-12
Author(s):  
Gregorio González-Alcaide ◽  
Mercedes Fernández-Ríos ◽  
Rosa Redolat ◽  
Emilia Serra

Background: The study of emotion recognition could be crucial for detecting alterations in certain cognitive areas or as an early sign of neurological disorders. Objective: The main objective of the study is to characterize research development on emotion recognition, identifying the intellectual structure that supports this area of knowledge, and the main lines of research attracting investigators’ interest. Methods: We identified publications on emotion recognition and dementia included in the Web of Science Core Collection, analyzing the scientific output and main disciplines involved in generating knowledge in the area. A co-citation analysis and an analysis of the bibliographic coupling between the retrieved documents elucidated the thematic orientations of the research and the reference works that constitute the foundation for development in the field. Results: A total of 345 documents, with 24,282 bibliographic references between them, were included. This is an emerging research area, attracting the interest of investigators in Neurosciences, Psychology, Clinical Neurology, and Psychiatry, among other disciplines. Four prominent topic areas were identified, linked to frontotemporal dementia, autism spectrum disorders, Alzheimer’s disease, and Parkinson’s and Huntington disease. Many recent papers focus on the detection of mild cognitive impairment. Conclusion: Impaired emotion recognition may be a key sign facilitating the diagnosis and early treatment of different neurodegenerative diseases as well as for triggering the necessary provision of social and family support, explaining the growing research interest in this area.


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