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A Scientometric Review of Soft Robotics: Intellectual Structures and Emerging Trends Analysis (2010–2021)
Within the last decade, soft robotics has attracted an increasing attention from both academia and industry. Although multiple literature reviews of the whole soft robotics field have been conducted, there still appears to be a lack of systematic investigation of the intellectual structure and evolu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117729/ https://www.ncbi.nlm.nih.gov/pubmed/35603081 http://dx.doi.org/10.3389/frobt.2022.868682 |
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author | Zhou, Yitong Li, Haonan |
author_facet | Zhou, Yitong Li, Haonan |
author_sort | Zhou, Yitong |
collection | PubMed |
description | Within the last decade, soft robotics has attracted an increasing attention from both academia and industry. Although multiple literature reviews of the whole soft robotics field have been conducted, there still appears to be a lack of systematic investigation of the intellectual structure and evolution of this field considering the increasing amount of publications. This paper conducts a scientometric review of the progressively synthesized network derived from 10,504 bibliographic records using a topic search on soft robotics from 2010 to 2021 based on the Web of Science (WoS) core database. The results are presented from both the general data analysis of included papers (e.g., relevant journals, citation, h-index, year, institution, country, disciplines) and the specific data analysis corresponding to main disciplines and topics, and more importantly, emerging trends. CiteSpace, a data visualization software, which can construct the co-citation network maps and provide citation bursts, is used to explore the intellectual structures and emerging trends of the soft robotics field. In addition, this paper offers a demonstration of an effective analytical method for evaluating enormous publication citation and co-citation data. Findings of this review can be used as a reference for future research in soft robotics and relevant topics. |
format | Online Article Text |
id | pubmed-9117729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91177292022-05-20 A Scientometric Review of Soft Robotics: Intellectual Structures and Emerging Trends Analysis (2010–2021) Zhou, Yitong Li, Haonan Front Robot AI Robotics and AI Within the last decade, soft robotics has attracted an increasing attention from both academia and industry. Although multiple literature reviews of the whole soft robotics field have been conducted, there still appears to be a lack of systematic investigation of the intellectual structure and evolution of this field considering the increasing amount of publications. This paper conducts a scientometric review of the progressively synthesized network derived from 10,504 bibliographic records using a topic search on soft robotics from 2010 to 2021 based on the Web of Science (WoS) core database. The results are presented from both the general data analysis of included papers (e.g., relevant journals, citation, h-index, year, institution, country, disciplines) and the specific data analysis corresponding to main disciplines and topics, and more importantly, emerging trends. CiteSpace, a data visualization software, which can construct the co-citation network maps and provide citation bursts, is used to explore the intellectual structures and emerging trends of the soft robotics field. In addition, this paper offers a demonstration of an effective analytical method for evaluating enormous publication citation and co-citation data. Findings of this review can be used as a reference for future research in soft robotics and relevant topics. Frontiers Media S.A. 2022-05-05 /pmc/articles/PMC9117729/ /pubmed/35603081 http://dx.doi.org/10.3389/frobt.2022.868682 Text en Copyright © 2022 Zhou and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Zhou, Yitong Li, Haonan A Scientometric Review of Soft Robotics: Intellectual Structures and Emerging Trends Analysis (2010–2021) |
title | A Scientometric Review of Soft Robotics: Intellectual Structures and Emerging Trends Analysis (2010–2021) |
title_full | A Scientometric Review of Soft Robotics: Intellectual Structures and Emerging Trends Analysis (2010–2021) |
title_fullStr | A Scientometric Review of Soft Robotics: Intellectual Structures and Emerging Trends Analysis (2010–2021) |
title_full_unstemmed | A Scientometric Review of Soft Robotics: Intellectual Structures and Emerging Trends Analysis (2010–2021) |
title_short | A Scientometric Review of Soft Robotics: Intellectual Structures and Emerging Trends Analysis (2010–2021) |
title_sort | scientometric review of soft robotics: intellectual structures and emerging trends analysis (2010–2021) |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117729/ https://www.ncbi.nlm.nih.gov/pubmed/35603081 http://dx.doi.org/10.3389/frobt.2022.868682 |
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