activity
20202023
most citedAvoiding bias when inferring race using name-based approaches

55 citations · 126 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DL2023★ 18 cited

Uncited articles and their effect on the concentration of citations

Diego Kozlowski, Jens Peter Andersen, Vincent Larivière

Empirical evidence demonstrates that citations received by scholarly publications follow a pattern of preferential attachment, resulting in a power-law distribution. Such asymmetry…

cs.CY2021★ 55 cited

Avoiding bias when inferring race using name-based approaches

Diego Kozlowski, Dakota S. Murray, Alexis Bell +4

Racial disparity in academia is a widely acknowledged problem. The quantitative understanding of racial based systemic inequalities is an important step towards a more equitable re…

cs.CL2020★ 3 cited

Gender bias in magazines oriented to men and women: a computational approach

Diego Kozlowski, Gabriela Lozano, Carla M. Felcher +2

Cultural products are a source to acquire individual values and behaviours. Therefore, the differences in the content of the magazines aimed specifically at women or men are a mean…

cs.SI2020★ 29 cited

Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation

Diego Kozlowski, Jennifer Dusdal, Jun Pang +1

Over the last century, we observe a steady and exponentially growth of scientific publications globally. The overwhelming amount of available literature makes a holistic analysis o…

physics.soc-ph2020★ 21 cited

Latent Dirichlet Allocation Models for World Trade Analysis

Diego Kozlowski, Viktoriya Semeshenko, Andrea Molinari

The international trade is one of the classic areas of study in economics. Nowadays, given the availability of data, the tools used for the analysis can be complemented and enriche…