EPJ Data Science

Papers
(The H4-Index of EPJ Data Science is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Endogenous conflict and the limits of predictive optimization79
Estimating work engagement from online chat tools49
How floods may affect the spatial spread of respiratory pathogens: the case of Emilia-Romagna, Italy in May 202347
Impact of federated data with local differential privacy for human mobility modeling40
Generative AI voting: fair collective choice is resilient to LLM biases and inconsistencies36
Simulating conversations on social media with generative agent-based models36
Does United Kingdom parliamentary attention follow social media posts?34
Drivers of hate speech in political conversations on Twitter: the case of the 2022 Italian general election33
Cognitive networks identify AI biases on societal issues in Large Language Models29
The microvelocity of money in Ethereum27
A hybrid stock prediction method based on periodic/non-periodic features analyses26
Dream content discovery from social media using natural language processing23
Analyzing image-based political propaganda in referendum campaigns: from elements to strategies23
Assessing geographic polarisation in Britain’s digital landscape through stable dynamic embedding of spatial web data22
Suspended accounts align with the Internet Research Agency misinformation campaign to influence the 2016 US election22
Origin and destination attachment: study of cultural integration on Twitter22
Online advertisement in a pink-colored market22
From crowdsourced data to policy design: monitoring and forecasting homeless tents22
Disentangling degree and tie strength heterogeneity in egocentric social networks21
Assessing the impact of case correction methods on the fairness of COVID-19 predictive models19
Which sport is becoming more predictable? A cross-discipline analysis of predictability in team sports19
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