Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Citation review of Human-Machine Collaboration in Virtual Reality for Adaptive Production Engineering by de Giorgio et al.

Version 1 : Received: 24 November 2020 / Approved: 26 November 2020 / Online: 26 November 2020 (11:26:09 CET)

How to cite: de Giorgio, A.; Onori, M. Citation review of Human-Machine Collaboration in Virtual Reality for Adaptive Production Engineering by de Giorgio et al.. Preprints 2020, 2020110672. https://doi.org/10.20944/preprints202011.0672.v1 de Giorgio, A.; Onori, M. Citation review of Human-Machine Collaboration in Virtual Reality for Adaptive Production Engineering by de Giorgio et al.. Preprints 2020, 2020110672. https://doi.org/10.20944/preprints202011.0672.v1

Abstract

This article argues that despite a citation review is a rarely used research tool, this can be very useful to assess the impact of new research topics, both from the future research direction and the bibliometric perspectives. An explorative study is presented around the research area marked as Industry 4.0 with the conference paper mentioned in the title of this citation review. Even though the given reference paper is relatively recent, there are already twenty-seven citations listed among three different scholar databases. These are Google Scholar, ResearchGate and Semantic Scholar. In light of this, the article provides a bibliometric confirmation and analysis for the progression of the line of research adopted by de Giorgio et al. in the exploration of non-traditional methods using virtual reality technology and human-robot collaboration for adaptive applications in Industry 4.0. Furthermore, it represents a model for the authors’ self-development and an example of an unconventional approach to scientific work that may help improve related bibliometric research and scholar database strategies to index new articles and topics in the future.

Keywords

Virtual Reality; Simulation; Industry 4.0; Human-Robot Collaboration; Citation Review; Citation Metrics

Subject

Engineering, Automotive Engineering

Comments (2)

Comment 1
Received: 1 December 2020
Commenter: (Click to see Publons profile: )
The commenter has declared there is no conflict of interests.
Comment: Dear Dr. de Giorgio,

I have received the decision from the Editor on your manuscript, SCIM-D-20-01567 "Citation review of Human-Machine Collaboration in Virtual Reality for Adaptive Production Engineering by de Giorgio et al."

With regret, I must inform you that the Editor has decided that your manuscript cannot be accepted for publication in
Scientometrics.

Below, please find the comments for your perusal.

I would like to thank you very much for forwarding your manuscript to us for consideration and wish you every success in finding an alternative place of publication.

With kind regards,
Wolfgang Glänzel, PhD
Editor in Chief
Scientometrics


Comment by the editor: We are receiving by far more manuscripts than we can consider, we are forced to select only those manuscripts which are of major interest to our readers. The results presented in the present study might be of interest for the research community of the topic under study itself but the study does not add new insights to the field of scientometrics. Therefore, we are unable to consider this time your manuscript for publication.
We duly hope that you will think of Scientometrics when making publication plans for your future papers.
+ Respond to this comment
Comment 2
Received: 18 December 2020
Commenter: (Click to see Publons profile: )
The commenter has declared there is no conflict of interests.
Comment: Dear Dr. de Giorgio,

Thank you for submitting your manuscript to Journal of Informetrics. I regret to inform you that your paper has been declined for publication in the journal. The material you submitted doesn’t have sufficient novelty and would perhaps be more suitable for a different journal. We encourage you to find another venue for your work and wish you success.

I would like to thank you for giving me the opportunity to consider your work. Although a negative decision was reached for this submission, I hope that you will consider again the Journal of Informetrics as the preferred venue of your future work.

Kind regards,    
Mu-hsuan Huang  
Editor-in-Chief  

Journal of Informetrics
+ Respond to this comment

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 2
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.