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Arun Arjunan

Bio

Dr Arun Arjunan is a Senior Lecturer and Course Leader in Mechanical Engineering at the University of Wolverhampton. His PhD in Mechanical Engineering was on the investigation of the thermal and vibro-acoustic behaviour of double-leaf walls. He was recognised as the Senior Fellow of the Higher Education Academy (SFHEA) in 2015. His research interest span across acoustic materials and technology, Finite Element Analysis (FEA) and structural mechanics. Much of his work has been on improving and understanding the acoustic behaviour of materials and structures, mainly through the application FEA, analytical methods and experimental evaluation. His recent work on customisable acoustic interference cavities have gained significant interest among the research community and exploit the use of Additive Manufacturing (3D Printing) technique to create frequency dependent noise cancelling devices. In addition he has made numerous contributions in the area of vibro-acoustic modelling, published in leading international journals and led research project for the UK Department of Transport. Dr Arjunan is also an external examiner for the University of Greenwich and serves as Reviewer and Panel Member for the British Research Council. He won the Elsevier Outstanding Contribution in Reviewing Award in 2015 and the IAAM Young Scientist of the Year Award in 2018.

Editorial Board Memberships

Arun is not currently contributing as an editor for any journal or publisher.

Pre Publication Reviews

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Reviews

19

Reviews (last 12 months)

10

Reviews (average per year)

4

Merit

55

Openness

0.0%

Review to Publication ratio

1.5:1


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Arun Arjunan has reviewed for.

Arun Arjunan

All fields reviewers

Total reviews over time

A cumulative record of Arun Arjunan's total number of reviews.

Reviews per month

The total number of reviews performed by Arun Arjunan each month.

Average review length

The average number of words per review (for which we have content), compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.