Profile
Statistics

Rafael Ferreira da Silva

Bio

Rafael Ferreira da Silva is a Research Assistant Professor in the Department of Computer Science at University of Southern California, and a Computer Scientist in the Science Automation Technologies group at the USC Information Sciences Institute. His research focuses on the efficient execution of scientific workflows on heterogeneous distributed systems (e.g., clouds, grids, and supercomputers), computational reproducibility, and Data Science—workflow performance analysis, user behavior in HPC/HTC, and citation analysis (for publications). Dr. Ferreira da Silva received his PhD in Computer Science from INSA-Lyon, France, in 2013. In 2010, he received his Master’s degree in Computer Science from Universidade Federal de Campina Grande, Brazil, and his BS degree in Computer Science from Universidade Federal da Paraiba, in 2007. For more information, please visit http://www.rafaelsilva.com.

Editorial Board Memberships

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

Pre Publication Reviews

Showing of  

Your statistics are calculated based on the information you have submitted to Publons.
Read more about them here.

Compare your statistics to those of any research field on Publons using the form below. Leaving the form blank will compare your statistics to all research fields on Publons.


Reviews

71

Reviews (last 12 months)

18

Reviews (average per year)

15

Merit

201

Openness

0.0%


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Rafael Ferreira da Silva has reviewed for.

Rafael Ferreira da Silva

All fields reviewers

Total reviews over time

A cumulative record of Rafael Ferreira da Silva's total number of reviews.

Reviews per month

The total number of reviews performed by Rafael Ferreira da Silva 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.