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Massimiliano Zanin
PeerJ Editor, Author & Reviewer
1,990 Points

Contributions by role

Author 270
Preprint Author 35
Reviewer 15
Editor 1,670

Contributions by subject area

Bioinformatics
Neuroscience
Statistics
Computational Science
Data Mining and Machine Learning
Data Science
Genomics
Drugs and Devices
Cardiology
Epidemiology
Pharmacology
Biophysics
Computational Biology
Mathematical Biology
Science and Medical Education
Science Policy
Evolutionary Studies
Health Policy
Respiratory Medicine
Bioengineering
Network Science and Online Social Networks
Human-Computer Interaction
Spatial and Geographic Information Systems
Ophthalmology
Surgery and Surgical Specialties
Public Health
Adaptive and Self-Organizing Systems
Visual Analytics

Massimiliano Zanin

PeerJ Editor, Author & Reviewer

Summary

Principal Researcher at Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), Palma de Mallorca, Spain.

My interest is mainly focus on the application of modelling tools (and especially complex networks theory and data mining) to a wide range of problems, from the air transport to the interactions within cells.

Adaptive & Self-Organizing Systems Bioinformatics Biophysics Computational Biology Computational Science Data Mining & Machine Learning Data Science Network Science & Online Social Networks Statistics

Editing Journals

PeerJ - the Journal of Life & Environmental Sciences
PeerJ Computer Science

Past or current institution affiliations

Universidade Nova de Lisboa
Universidad Politécnica de Madrid

Work details

Principal Researcher

Instituto de Física Interdisciplinar y Sistemas Complejos IFISC
March 2020
Applied physics

Websites

  • Google Scholar
  • Personal website

PeerJ Contributions

  • Articles 2
  • Preprints 1
  • Edited 12
February 17, 2020
DISNET: a framework for extracting phenotypic disease information from public sources
Gerardo Lagunes-García, Alejandro Rodríguez-González, Lucía Prieto-Santamaría, Eduardo P. García del Valle, Massimiliano Zanin, Ernestina Menasalvas-Ruiz
https://doi.org/10.7717/peerj.8580 PubMed 32110491
June 7, 2016
On causality of extreme events
Massimiliano Zanin
https://doi.org/10.7717/peerj.2111 PubMed 27330866
March 7, 2016 - Version: 1
On causality of extreme events
Massimiliano Zanin
https://doi.org/10.7287/peerj.preprints.1827v1

Academic Editor on

April 29, 2021
Adaptive model to support business process reengineering
Noha Ahmed Bayomy, Ayman E. Khedr, Laila A. Abd-Elmegid
https://doi.org/10.7717/peerj-cs.505
August 6, 2019
Road traffic injuries in China from 2007 to 2016: the epidemiological characteristics, trends and influencing factors
Xue Wang, Huiting Yu, Chan Nie, Yanna Zhou, Haiyan Wang, Xiuquan Shi
https://doi.org/10.7717/peerj.7423 PubMed 31404405
July 2, 2019
Improving clinical refractive results of cataract surgery by machine learning
Martin Sramka, Martin Slovak, Jana Tuckova, Pavel Stodulka
https://doi.org/10.7717/peerj.7202 PubMed 31304064
March 19, 2019
Identification of gene-phenotype connectivity associated with flavanone naringenin by functional network analysis
Suhong Fu, Yongqun Zhang, Jing Shi, Doudou Hao, Pengfei Zhang
https://doi.org/10.7717/peerj.6611 PubMed 30918758
August 31, 2018
Plant data visualisation using network graphs
Afrina Adlyna Mohamad-Matrol, Siow-Wee Chang, Arpah Abu
https://doi.org/10.7717/peerj.5579 PubMed 30186704
May 9, 2017
Network science meets respiratory medicine for OSAS phenotyping and severity prediction
Stefan Mihaicuta, Mihai Udrescu, Alexandru Topirceanu, Lucretia Udrescu
https://doi.org/10.7717/peerj.3289 PubMed 28503375
March 29, 2017
Delineating the impact of machine learning elements in pre-microRNA detection
Müşerref Duygu Saçar Demirci, Jens Allmer
https://doi.org/10.7717/peerj.3131 PubMed 28367373
August 18, 2016
A resource-based game theoretical approach for the paradox of the plankton
Weini Huang, Paulo Roberto de Araujo Campos, Viviane Moraes de Oliveira, Fernando Fagundes Ferrreira
https://doi.org/10.7717/peerj.2329 PubMed 27602293
March 8, 2016
Adverse events associated with incretin-based drugs in Japanese spontaneous reports: a mixed effects logistic regression model
Daichi Narushima, Yohei Kawasaki, Shoji Takamatsu, Hiroshi Yamada
https://doi.org/10.7717/peerj.1753 PubMed 26989609
September 17, 2015
Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry
Ziyun Xu, Leonid Pekelis
https://doi.org/10.7717/peerj.1249 PubMed 26401459
June 25, 2015
A Bayesian approach to optimizing cryopreservation protocols
Sammy Sambu
https://doi.org/10.7717/peerj.1039 PubMed 26131379
May 27, 2015
Navigating the massive world of reddit: using backbone networks to map user interests in social media
Randal S. Olson, Zachary P. Neal
https://doi.org/10.7717/peerj-cs.4