Profile
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Mohamad Amin Kaviani

Bio

Mohamad Amin Kaviani is a researcher and an active member of Young Researchers and Elite Club, Islamic Azad University (IAU), Shiraz, Iran. He obtained his Bachelor degree in Industrial Engineering from IAU, Shiraz, Iran. After that he achieved his Master degree in Industrial Engineering as a top student from the same university. He is currently a PhD student of Industrial Engineering at IAU, South Tehran branch, Tehran, Iran.

His main research interests are Business Analytics, Supply chain management and operations management.

He has published some papers in international refereed scholarly journals such as Applied Soft Computing, Measurement, International Journal of Advanced Manufacturing Technology, Decision Science Letters, International Journal of Strategic decision Sciences and International Journal of Supply and Operations Management and Management Decision.

He is the member of Decision Science Institute (DSI) and Production and Operations management Society (POMS). He is the editorial board member of some international journals such as Management Decision and International Journal of Supply chain and Inventory Management. Moreover he is the regular reviewer of some prestigious journals.

Research Fields

Decision Science

Pre Publication Reviews

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Reviews

50

Reviews (last 12 months)

4

Reviews (average per year)

16

Merit

191

Openness

0.0%

Review to Publication ratio

7.1:1


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Mohamad Amin Kaviani has reviewed for.

Mohamad Amin Kaviani

All fields reviewers

Total reviews over time

A cumulative record of Mohamad Amin Kaviani's total number of reviews.

Reviews per month

The total number of reviews performed by Mohamad Amin Kaviani each month.

Average review length

The average number of words per review compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

Note: only reviews with associated content are included in the graph below and where content is present we can not guarantee that it is complete or truly the content of the review.

Weekly review punchcard

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