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Here is the published version: nature.com/articles/s4159…

Our newest work, "Determining liquid crystal properties with ordinal networks and machine learning," has just been published in Chaos, Solitons & Fractals. w/ Arthur Pessa, Rafael Zola, and Matjaz Perc authors.elsevier.com/c/1eBGf3QI~FS3…

Post-doc position (2y) to work with me at the intersection between Complex Systems and Data Science in Sydney, Sydney Mathematics and Statistics. Deadline: May 11. Job advertisement at bit.ly/postdocUsyd, E-mail or DM me for more information. Please RT and circulate.

It’s been a year since we’ve featured our dedicated #EditorialBoardMembers in Editor Spotlight! To celebrate, we’re posting “A Year of Editor Spotlights” series. Read about #PLOSONE Editorial Board experiences by our #AcademicEditors in today's blog post: plos.io/3sRoJy4

Our newest work, "Universal productivity patterns in research careers," Physical Review Research shows evidence for the emergence of six universal patterns of productivity in scientific careers. w/ @SunaharaAndre Matjaz Perc Explore: complex.pfi.uem.br/cluster/ Paper: doi.org/10.1103/PhysRe…

Editors' Suggestion: Universal productivity patterns in research careers, Andre S. Sunahara, Matjaž Perc, and Haroldo V. Ribeiro @SunaharaAndre Matjaz Perc Haroldo V. Ribeiro UEM Oficial #Networks #ScienceofScience go.aps.org/419cM3k

Our latest work introduces the k-nearest neighbor permutation entropy, an approach to characterize unstructured data with an entropy measure. #arXiv arxiv.org/abs/2403.13122 #code: github.com/hvribeiro/knnpe w/ Arthur Pessa Matjaz Perc and others.

Our latest paper, "A Heteroscedastic Bayesian Generalized Logistic Regression Model with Application to Scaling Problems," is now freely available via open access (sciencedirect.com/science/articl…). #Statistics #DataScience #bayesian #COVID_19 #scaling #nonlinearsystems #spatial

Back home from a fun and exciting trip in Brazil where I met some long-existing friends and was introduced to some new ones at the #UniversityofMaringá. Looking forward to our future work together 🧑‍💻🇧🇷

The k-nearest neighbor permutation broadens the scope of ordinal methods to unstructured data such as point clouds, maintaining its simplicity, interpretability, and scalability. Haroldo V. Ribeiro Leonardo Voltarelli Arthur Pessa Matjaz Perc Learn more 👇 aippub.org/4cg4D1e

Our paper on inclusive 15-minute cities is now out in Nature Cities! I want to express my deep gratitude to Vittorio Vittorio Loreto, Matteo Matteo Bruno, and Bruno for an incredible journey. It was a long ride, but a very fun one, and we’re just getting started!

Very happy to share that our paper was also highlighted in the News and Views written by Haroldo V. Ribeiro. You can read it here rdcu.be/dT5Jo

Our new paper, "Impact of inter-city interactions on disease scaling," is out Scientific Reports! We explore how population & commuting networks drive infectious disease incidence across Brazilian cities. 🔗nature.com/articles/s4159… w/ Jack Sutton Matjaz Perc #UrbanScaling #Epidemiology

Our paper "Two-by-two ordinal patterns in art paintings" has just been accepted in PNAS Nexus. We explore 2x2 ordinal pixel-intensity patterns across ~140k paintings, revealing visual structures that track artistic styles and historical shifts in art. arxiv.org/abs/2503.09844

Here is the published version in PNAS Nexus: academic.oup.com/pnasnexus/arti…

Our latest paper, "Structural roles and gender disparities in corruption networks" in Scientific Reports, finds that females comprise just 10%/20% of corruption agents in Brazil/Spain, yet network properties of criminals show no significant gender-specific bias -rdcu.be/ei2l0

Are criminal activities predominantly due to males? Which is the % of female participation? Check our work in Sci Rep. This is a topic far away from my expertise, but I am happy to have been invited to participate in this work, lead by Haroldo V. Ribeiro nature.com/articles/s4159…

Our article, Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems, accepted in Scientific Reports, develops a robust and accurate method for detecting phase transitions using spectrophotometric data - arxiv.org/abs/2506.06516

Here is the published version in Scientific Reports nature.com/articles/s4159… w/ Arthur Pessa Matjaz Perc