Using virtual manufacturing to design human-centric factories: an industrial case

Peruzzini, Margherita; Grandi, Fabio; Cavallaro, Sara; Pellicciari, Marcello

doi:10.1007/s00170-020-06229-2

Cited by 46 publications

(21 citation statements)

References 26 publications

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“…As result of the scholar search over three databases, there are 27 citations for the paper in exam. Five are journal articles (Anik et al 2020;Malik et al 2020;Oliveira Valério et al 2020;Peruzzini et al 2020 Fig. 1 for a graphic illustration of the citation types.…”

Section: Resultsmentioning

confidence: 99%

“…Five citations are from 2018 (Janis and Alias 2018;Marszalek and Volz 2018;Mizuchi and Inamura 2018;Ottogalli et al 2018;Shu et al 2018), eight citations are from 2019 (Chang et al 2019;Gao et al 2019bGao et al , 2019aMoon et al 2019;Ojstersek et al 2019;Randon and Cecconello 2019;Shu and Sziebig 2019;Yan et al 2019) and five citations are from 2020 (Anik et al 2020;Malik et al 2020;Metzner, Utsch, et al 2020;Peruzzini et al 2020).…”

Section: Researchgatementioning

confidence: 99%

“…However, there is one paper that has been uploaded twice using the format "code" and the number of real citations is 18. Of these, four are journal articles (Anik et al 2020;Malik et al 2020;Peruzzini et al 2020;Randon and Cecconello 2019), twelve are conference papers (H.-P. Chang et al 2019;Gao et al 2019b;Janis and Alias 2018;Metzner, Krieg, et al 2020;Mizuchi and Inamura 2018;Moon et al 2019;Ojstersek et al 2019;Ottogalli et al 2018;Shu et al 2018;Shu and Sziebig 2019;Yan et al 2019) and two are preprints (Gao et al 2019a;Marszalek and Volz 2018). One of the journal articles is in Portuguese (Randon and Cecconello 2019).…”

Section: Researchgatementioning

confidence: 99%

“…Semantic Scholar lists 19 citations for the paper. Four are journal articles (Anik et al 2020;Malik et al 2020;Oliveira Valério et al 2020;Peruzzini et al 2020), thirteen are conference papers (H.-P. Chang et al 2019;Gao et al 2019b;Janis and Alias 2018;Metzner, Krieg, et al 2020;Metzner, Utsch, et al 2020;Mizuchi and Inamura 2018;Moon et al 2019;Ojstersek et al 2019;Ottogalli et al 2018;Shu et al 2018;Shu and Sziebig 2019;Yan et al 2019) and one is a preprint (Gao et al 2019a). One citation is wrongly directed to the whole conference proceedings containing the conference paper "Intuitive, VR-and Gesturebased Physical Interaction with Virtual Commissioning Simulation Models" (Metzner, Krieg, et al 2020).…”

Section: Semantic Scholarmentioning

confidence: 99%

“…The related work section of Peruzzini et al (2020) lists de Giorgio et al (2017) as those who "showed the potentiality of virtual reality (VR) in human-robot collaboration, using game engines as simulation software to control AR/VR hardware and industrial machines". Further in the article, a table named "Comparison between different VM-based approaches" lists de Giorgio et al 2017as an application of collaborative robotics with a level of realism of score 3 out of 4, using Unity as VR software and HTC Vive with VR Controllers as hardware.…”

Section: Summary Of Findingsmentioning

confidence: 99%

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

Giorgio¹,

Onori²

2020

Preprint

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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.

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Section: Resultsmentioning

confidence: 99%