9 citations · 27 across the 13 of their papers we have counts for
14 papers
Causal asymmetry suggests productivity underlies scientific collaboration
Diego A. Frota, Cesar I. N. Sampaio Filho, Vitor H. Ribeiro +5
Scientific productivity and collaboration are closely related, yet the causal direction between these two dimensions of academic careers remains unclear. Here we analyze the career…
Charting the life of Billboard hits through memory, turnover, and predictability
Arthur A. B. Pessa, Angelo A. Flores, Matjaz Perc +1
Rankings shape the visibility and success of cultural products, yet their temporal dynamics remain underexplored when comparing distinct ranked objects within the same domain. Here…
Gender shapes the relationship between productivity and journal prestige in science
Vitor H. Ribeiro, Andre S. Sunahara, Golnaz Shahtahmassebi +2
Gender disparities in academia manifest and persist in various aspects of the scientific enterprise, yet their influence on the interplay between research productivity and journal…
Interpretable liquid crystal phase classification via two-by-two ordinal patterns
Leonardo G. J. M. Voltarelli, Natalia Osiecka-Drewniak, Marcin Piwowarczyk +4
Liquid crystal textures encode rich structural information, yet mapping these images to mesophase identity remains challenging because visually similar patterns can arise from dist…
Evolving spatiotemporal patterns and urban scaling of deaths from external causes
Cesar I. N. Sampaio Filho, Humberto A. Carmona, Antonio S. Lima Neto +4
Urban scaling theory posits that urban indicators follow power-law relations with population, yet the evolution of these patterns - and the role of regional differences in settings…
Bipartite structure and dynamics of political corruption networks
Monica V. Prates, Arthur A. B. Pessa, Sebastian Goncalves +2
Political corruption is inherently an affiliation process linking agents to corruption cases; yet it is often studied via one-mode projections that connect co-offenders within the…
Comprehensive indicators and fine granularity refine density scaling laws in rural-urban systems
Jack Sutton, Quentin S. Hanley, Gerri Mortimore +5
Density scaling laws complement traditional population scaling laws by enabling the analysis of the full range of human settlements and revealing rural-to-urban transitions with br…
Similarity networks of ordinal-pattern transitions classify falling paper trajectories
Angelo A. Flores, Leonardo G. J. M. Voltarelli, Andre S. Sunahara +2
Paper fragments in free fall constitute a simple yet paradigmatic mechanical system exhibiting remarkably complex motions. Despite a long history of investigation, this system has…
Nonlinear Rank Scaling and Hidden Structure in NHS Expenditure Transparency Data
Animotu Mohammed, Golnaz Shahtahmassebi, Haroldo V. Ribeiro +2
A variety of transparency initiatives have been introduced by governments to reduce corruption and allow citizens to independently evaluate effectiveness and efficiency of spending…
Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems
Arthur A. B. Pessa, Leonardo G. J. M. Voltarelli, Lucio Cardozo-Filho +5
Understanding the high-pressure phase behavior of carbon dioxide-hydrocarbon mixtures is of considerable interest owing to their wide range of applications. Under certain condition…
Structural roles and gender disparities in corruption networks
Arthur A. B. Pessa, Alvaro F. Martins, Monica V. Prates +4
Criminal activities are predominantly due to males, with females exhibiting a significantly lower involvement, especially in serious offenses. This pattern extends to organized cri…
Two-by-two ordinal patterns in art paintings
Mateus M. Tarozo, Arthur A. B. Pessa, Luciano Zunino +3
Quantitative analysis of visual arts has recently expanded to encompass a more extensive array of artworks due to the availability of large-scale digitized art collections. Consist…
Impact of inter-city interactions on disease scaling
Nathalia A. Loureiro, Camilo R. Neto, Jack Sutton +2
Inter-city interactions are critical for the transmission of infectious diseases, yet their effects on the scaling of disease cases remain largely underexplored. Here, we use the c…
A Heteroscedastic Bayesian Generalized Logistic Regression Model with Application to Scaling Problems
Jack Sutton, Golnaz Shahtahmassebi, Quentin S. Hanley +1
Power law scaling models have been used to understand the complexity of systems as diverse as cities, neurological activity, and rainfall and lightning. In the scaling framework, p…