Knowledge domain and emerging trends in brachytherapy: A scientometric analysis
Abstract Objective Assessing the current scientific situation helps to recognize the gaps and strengths of brachytherapy research projects. This research project was conducted to assess the knowledge domain and emerging trends in brachytherapy through a scientometric perspective. Methods For the pre...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2022-09-01
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Series: | Precision Radiation Oncology |
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Online Access: | https://doi.org/10.1002/pro6.1171 |
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author | Arash Ghazbani Mohammad Abdolahi Mohammad Javad Mansourzadeh Reza BasirianJahromi Sina Behzadipour Anali Mohseni Azad Bardia Talebzadeh Abdolrasoul Khosravi Ali Hamidi |
author_facet | Arash Ghazbani Mohammad Abdolahi Mohammad Javad Mansourzadeh Reza BasirianJahromi Sina Behzadipour Anali Mohseni Azad Bardia Talebzadeh Abdolrasoul Khosravi Ali Hamidi |
author_sort | Arash Ghazbani |
collection | DOAJ |
description | Abstract Objective Assessing the current scientific situation helps to recognize the gaps and strengths of brachytherapy research projects. This research project was conducted to assess the knowledge domain and emerging trends in brachytherapy through a scientometric perspective. Methods For the present research, the Web of Science database was considered as the data source. Integrated data was transferred to Bibliometrix R Package V3.1. In this study, the scientometric approach was performed by CiteSpace 5.8.R3 to draw the trends and signify issues in the research area. Eventually, scientometric indicators were evaluated at the level of authors, documents, journals, organizations, and countries. Results A total of 31,362 documents from 64,740 Independent researchers were retrieved. The United States, Germany, and Canada were the most active countries in brachytherapy‐related research projects. In the present study, Luc Beaulieu, Christine Kirisits, and Ronald Nath were identified as the most influential authors. Eventually, keywords clusters were constructed by using the method of co‐citation analysis. In this case, the main clusters were cervical cancer and prostate cancer. Conclusion Assessing the scientific trends in brachytherapy indicated that new insights have been gained into this cancer treatment technique. In this case, development of computer applications and artificial intelligence alongside deep learning utilization provides new horizons for oncology and radiotherapy researchers. |
first_indexed | 2024-04-12T03:24:01Z |
format | Article |
id | doaj.art-6577cb3989574f8c80261fa5e2001add |
institution | Directory Open Access Journal |
issn | 2398-7324 |
language | English |
last_indexed | 2024-04-12T03:24:01Z |
publishDate | 2022-09-01 |
publisher | Wiley |
record_format | Article |
series | Precision Radiation Oncology |
spelling | doaj.art-6577cb3989574f8c80261fa5e2001add2022-12-22T03:49:48ZengWileyPrecision Radiation Oncology2398-73242022-09-016324325610.1002/pro6.1171Knowledge domain and emerging trends in brachytherapy: A scientometric analysisArash Ghazbani0Mohammad Abdolahi1Mohammad Javad Mansourzadeh2Reza BasirianJahromi3Sina Behzadipour4Anali Mohseni Azad5Bardia Talebzadeh6Abdolrasoul Khosravi7Ali Hamidi8Student Research Committee Bushehr University of Medical Sciences Bushehr IranDepartment of Radiology Faculty of Paramedicine Bushehr University of Medical Sciences Bushehr IranSchool of Allied Medical Sciences Tehran University of Medical Sciences Tehran IranDepartment of Medical Library and Information Sciences Faculty of Paramedicine Bushehr University of Medical Sciences Bushehr IranStudent Research Committee Bushehr University of Medical Sciences Bushehr IranDepartment of Surgery Faculty of Medicine Bushehr University of Medical Sciences Bushehr IranFaculty of Pharmacy Semmelweis University Budapest HungaryDepartment of Medical Library and Information Sciences Faculty of Paramedicine Bushehr University of Medical Sciences Bushehr IranDepartment of Medical Library and Information Sciences Faculty of Paramedicine Bushehr University of Medical Sciences Bushehr IranAbstract Objective Assessing the current scientific situation helps to recognize the gaps and strengths of brachytherapy research projects. This research project was conducted to assess the knowledge domain and emerging trends in brachytherapy through a scientometric perspective. Methods For the present research, the Web of Science database was considered as the data source. Integrated data was transferred to Bibliometrix R Package V3.1. In this study, the scientometric approach was performed by CiteSpace 5.8.R3 to draw the trends and signify issues in the research area. Eventually, scientometric indicators were evaluated at the level of authors, documents, journals, organizations, and countries. Results A total of 31,362 documents from 64,740 Independent researchers were retrieved. The United States, Germany, and Canada were the most active countries in brachytherapy‐related research projects. In the present study, Luc Beaulieu, Christine Kirisits, and Ronald Nath were identified as the most influential authors. Eventually, keywords clusters were constructed by using the method of co‐citation analysis. In this case, the main clusters were cervical cancer and prostate cancer. Conclusion Assessing the scientific trends in brachytherapy indicated that new insights have been gained into this cancer treatment technique. In this case, development of computer applications and artificial intelligence alongside deep learning utilization provides new horizons for oncology and radiotherapy researchers.https://doi.org/10.1002/pro6.1171bibliometricsco‐citation networkscollaboration networksradioisotope plaqueradiotherapyscientometrics |
spellingShingle | Arash Ghazbani Mohammad Abdolahi Mohammad Javad Mansourzadeh Reza BasirianJahromi Sina Behzadipour Anali Mohseni Azad Bardia Talebzadeh Abdolrasoul Khosravi Ali Hamidi Knowledge domain and emerging trends in brachytherapy: A scientometric analysis Precision Radiation Oncology bibliometrics co‐citation networks collaboration networks radioisotope plaque radiotherapy scientometrics |
title | Knowledge domain and emerging trends in brachytherapy: A scientometric analysis |
title_full | Knowledge domain and emerging trends in brachytherapy: A scientometric analysis |
title_fullStr | Knowledge domain and emerging trends in brachytherapy: A scientometric analysis |
title_full_unstemmed | Knowledge domain and emerging trends in brachytherapy: A scientometric analysis |
title_short | Knowledge domain and emerging trends in brachytherapy: A scientometric analysis |
title_sort | knowledge domain and emerging trends in brachytherapy a scientometric analysis |
topic | bibliometrics co‐citation networks collaboration networks radioisotope plaque radiotherapy scientometrics |
url | https://doi.org/10.1002/pro6.1171 |
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