Profile
Statistics

Iva Bojic

Bio

Dr. Iva Bojic is a computer scientist with a research emphasis in telecommunications and urban studies. She holds two masters – one in Computer Science and the other one in Mathematics, both of which are from University of Zagreb, Croatia. Her doctoral thesis on "Self-organizing Synchronization in Machine-to-Machine Communication Systems” was awarded the Silver Plaque Josip Loncar – the Dean's award for outstanding doctoral dissertation and particularly successful scientific research. In 2012 Dr. Bojic received the "Google Anita Borg" award from Google for strength of academic performance, leadership experience and demonstrated passion for computer science. The same year she was also awarded the "Richard E. Merwin" award by the IEEE organization for demonstrating outstanding involvement in IEEE and excellence in academic achievement. Dr. Bojic continued her post-doctoral research at the MIT Senseable City Lab where she joined in 2014 as a Fulbright scholar. After one year at MIT, she moved to Singapore where now she is a research scientist working at Campus for Research Excellence and Technological Enterprise, Singapore-MIT Alliance for Research and Technology.

Research Fields

Information and Computing Sciences

Editorial Board Memberships

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

Pre Publication Reviews

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Reviews

83

Reviews (last 12 months)

13

Reviews (average per year)

10

Merit

249

Openness

0.0%


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Iva Bojic has reviewed for.

Iva Bojic

All fields reviewers

Total reviews over time

A cumulative record of Iva Bojic's total number of reviews.

Reviews per month

The total number of reviews performed by Iva Bojic 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.