Bibliometric Study of Welding Scientific Publications by Big Data Analysis

Pavel Layus; Paul Kah

doi:doi:10.11648/j.ijmea.20150305.13

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Bibliometric Study of Welding Scientific Publications by Big Data Analysis

Pavel Layus, Paul Kah

Published in International Journal of Mechanical Engineering and Applications (Volume 3, Issue 5)

Received: 11 July 2015 Accepted: 28 August 2015 Published: 14 September 2015

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Abstract

Researchers are nowadays overloaded with scientific information, and it is often difficult to obtain a clear overview of existing topical research in some particular field. Big data tools and instruments can be utilized to define trending research topics by analyzing recent publications. This paper analyses 12000 articles related to arc welding from the Scopus database for the period 2001-2012 using VOS viewer and Microsoft Excel. The most commonly occurring keywords are presented statically and as a time series. The results of this paper provide an overall landscape of scientific research in the field of arc welding and help indicate trends of emerging topics in welding research. This work is of value to both industry and academia as an indicator of changes in the field and areas of current interest. Some guidelines for potential future research on the subject are provided.

Published in	International Journal of Mechanical Engineering and Applications (Volume 3, Issue 5)
DOI	10.11648/j.ijmea.20150305.13
Page(s)	94-102
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Bibliometrics, Scopus, Keywords, VOS Viewer, Big Data, Research Trends, Welding

References

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APA Style

Pavel Layus, Paul Kah. (2015). Bibliometric Study of Welding Scientific Publications by Big Data Analysis. International Journal of Mechanical Engineering and Applications, 3(5), 94-102. https://doi.org/10.11648/j.ijmea.20150305.13

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ACS Style

Pavel Layus; Paul Kah. Bibliometric Study of Welding Scientific Publications by Big Data Analysis. Int. J. Mech. Eng. Appl. 2015, 3(5), 94-102. doi: 10.11648/j.ijmea.20150305.13

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AMA Style

Pavel Layus, Paul Kah. Bibliometric Study of Welding Scientific Publications by Big Data Analysis. Int J Mech Eng Appl. 2015;3(5):94-102. doi: 10.11648/j.ijmea.20150305.13

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@article{10.11648/j.ijmea.20150305.13,
  author = {Pavel Layus and Paul Kah},
  title = {Bibliometric Study of Welding Scientific Publications by Big Data Analysis},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {3},
  number = {5},
  pages = {94-102},
  doi = {10.11648/j.ijmea.20150305.13},
  url = {https://doi.org/10.11648/j.ijmea.20150305.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20150305.13},
  abstract = {Researchers are nowadays overloaded with scientific information, and it is often difficult to obtain a clear overview of existing topical research in some particular field. Big data tools and instruments can be utilized to define trending research topics by analyzing recent publications. This paper analyses 12000 articles related to arc welding from the Scopus database for the period 2001-2012 using VOS viewer and Microsoft Excel. The most commonly occurring keywords are presented statically and as a time series. The results of this paper provide an overall landscape of scientific research in the field of arc welding and help indicate trends of emerging topics in welding research. This work is of value to both industry and academia as an indicator of changes in the field and areas of current interest. Some guidelines for potential future research on the subject are provided.},
 year = {2015}
}

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TY  - JOUR
T1  - Bibliometric Study of Welding Scientific Publications by Big Data Analysis
AU  - Pavel Layus
AU  - Paul Kah
Y1  - 2015/09/14
PY  - 2015
N1  - https://doi.org/10.11648/j.ijmea.20150305.13
DO  - 10.11648/j.ijmea.20150305.13
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 94
EP  - 102
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20150305.13
AB  - Researchers are nowadays overloaded with scientific information, and it is often difficult to obtain a clear overview of existing topical research in some particular field. Big data tools and instruments can be utilized to define trending research topics by analyzing recent publications. This paper analyses 12000 articles related to arc welding from the Scopus database for the period 2001-2012 using VOS viewer and Microsoft Excel. The most commonly occurring keywords are presented statically and as a time series. The results of this paper provide an overall landscape of scientific research in the field of arc welding and help indicate trends of emerging topics in welding research. This work is of value to both industry and academia as an indicator of changes in the field and areas of current interest. Some guidelines for potential future research on the subject are provided.
VL  - 3
IS  - 5
ER  -

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Author Information

Pavel Layus

Lappeenranta University of Technology, Skinnarilankatu, Lappeenranta, Finland
Paul Kah

Lappeenranta University of Technology, Skinnarilankatu, Lappeenranta, Finland

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APA Style

Pavel Layus, Paul Kah. (2015). Bibliometric Study of Welding Scientific Publications by Big Data Analysis. International Journal of Mechanical Engineering and Applications, 3(5), 94-102. https://doi.org/10.11648/j.ijmea.20150305.13

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ACS Style

Pavel Layus; Paul Kah. Bibliometric Study of Welding Scientific Publications by Big Data Analysis. Int. J. Mech. Eng. Appl. 2015, 3(5), 94-102. doi: 10.11648/j.ijmea.20150305.13

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AMA Style

Pavel Layus, Paul Kah. Bibliometric Study of Welding Scientific Publications by Big Data Analysis. Int J Mech Eng Appl. 2015;3(5):94-102. doi: 10.11648/j.ijmea.20150305.13

Copy | Download

@article{10.11648/j.ijmea.20150305.13,
  author = {Pavel Layus and Paul Kah},
  title = {Bibliometric Study of Welding Scientific Publications by Big Data Analysis},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {3},
  number = {5},
  pages = {94-102},
  doi = {10.11648/j.ijmea.20150305.13},
  url = {https://doi.org/10.11648/j.ijmea.20150305.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20150305.13},
  abstract = {Researchers are nowadays overloaded with scientific information, and it is often difficult to obtain a clear overview of existing topical research in some particular field. Big data tools and instruments can be utilized to define trending research topics by analyzing recent publications. This paper analyses 12000 articles related to arc welding from the Scopus database for the period 2001-2012 using VOS viewer and Microsoft Excel. The most commonly occurring keywords are presented statically and as a time series. The results of this paper provide an overall landscape of scientific research in the field of arc welding and help indicate trends of emerging topics in welding research. This work is of value to both industry and academia as an indicator of changes in the field and areas of current interest. Some guidelines for potential future research on the subject are provided.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Bibliometric Study of Welding Scientific Publications by Big Data Analysis
AU  - Pavel Layus
AU  - Paul Kah
Y1  - 2015/09/14
PY  - 2015
N1  - https://doi.org/10.11648/j.ijmea.20150305.13
DO  - 10.11648/j.ijmea.20150305.13
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 94
EP  - 102
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20150305.13
AB  - Researchers are nowadays overloaded with scientific information, and it is often difficult to obtain a clear overview of existing topical research in some particular field. Big data tools and instruments can be utilized to define trending research topics by analyzing recent publications. This paper analyses 12000 articles related to arc welding from the Scopus database for the period 2001-2012 using VOS viewer and Microsoft Excel. The most commonly occurring keywords are presented statically and as a time series. The results of this paper provide an overall landscape of scientific research in the field of arc welding and help indicate trends of emerging topics in welding research. This work is of value to both industry and academia as an indicator of changes in the field and areas of current interest. Some guidelines for potential future research on the subject are provided.
VL  - 3
IS  - 5
ER  -

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