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Diego Raphael Amancio

Associate Professor

Departament of Computer Science

Institute of Mathematics and Computer Science

University of São Paulo (USP)

São Carlos, São Paulo, Brazil

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October 2022:

* I have been awarded the "Young Leadership in Research Award" . The award recognizes the impact of scientific research, in order to stimulate the constant evolution of research and encourage new leaderships at the Universidade of São Paulo.


March 2022:


*According to I am ranked among the top 22 Brazilian Computer Science researchers. This analysis considered all authors in the Microsoft Academic Graph with h-index higher than 30. Researchers were ranked based on their h-indexes.

* Our paper "Clustering algorithms: a comparative approach" is now featured as a highly cited paper in the Computer Science field. According to Web of Science: "Highly cited received enough citations to place it in the top 1% of the academic field of Computer Science based on a highly cited threshold for the field and publication year."


*According to a recent study published in PLoS Biology I appeared among the top 2% most influential researchers in the Artificial Intelligence subfield. This analysis considered all authors in the Scopus dataset that have published at least five papers.

*According to a recent study published in PLoS Biology I appeared among the
top 35 (~0.65%) most influential researchers at the Universidade de São Paulo (USP-Brazil, across all fields) in 2019. In this same list, I also appeared as the youngest researcher among the top 35. 

*HF Arruda has been awarded the Capes Thesis Award 20' (in the Computer Science field). This thesis was supervised by LF Costa and DR Amancio. "The Capes Thesis Award distinguishes, annually, the best doctoral thesis of each area, defended during the precedent year within Brazilian graduate programs".

*I am an Academic Editor for:
- Expert Systems with Applications
- PLoS ONE  
- Complexity (Hindawi)
- PeerJ Computer Science
- Frontiers in Physics (Associate Editor)

Selected publications

"Complex systems: features, similarity and connectivity".

Physics Reports, v. 861, p. 1-41, 2020.
doi: 10.1016/j.physrep.2020.03.002 

"Clustering algorithms: a comparative approach."

PLoS ONE, 14(1) e0210236, 2019.

doi: 10.1371/journal.pone.0210236

"A systematic comparison of supervised classifiers."

PLoS ONE, v. 9, p. e94137, 2014.

doi: 10.1371/journal.pone.0094137

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