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Javier de la Hoz-M · Study

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Javier de la Hoz-M

5 works· latest 2025· 2 institutionscluster: provisionalORCID 0000-0001-7779-0803

h-index4

i101

Citations67

Works here5

21

22

24

25

Most cited in this library

LDAShiny: An R Package for Exploratory Review of Scientific Literature Based on a Bayesian Probabilistic Model and Machine Learning Tools2021 · 44 citations
Capturing the Complexity of COVID-19 Research: Trend Analysis in the First Two Years of the Pandemic Using a Bayesian Probabilistic Model and Machine Learning Tools2022 · 8 citations
Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review2025 · 7 citations
Glioblastoma: a comprehensive approach combining bibliometric analysis, Latent Dirichlet Allocation, and HJ-Biplot2024 · 7 citations
LDAShiny: Interactive Topic Modeling and Bibliometric Analysis via Shiny2021 · 1 citations

Works

5 shown

Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review

JMIR Cancer·2025·5 authors·review·Open access

7citations

Glioblastoma: a comprehensive approach combining bibliometric analysis, Latent Dirichlet Allocation, and HJ-Biplot

Neurosurgical Review·2024·7 authors

7citations

Capturing the Complexity of COVID-19 Research: Trend Analysis in the First Two Years of the Pandemic Using a Bayesian Probabilistic Model and Machine Learning Tools

Computation·2022·4 authors·Open access

8citations

LDAShiny: An R Package for Exploratory Review of Scientific Literature Based on a Bayesian Probabilistic Model and Machine Learning Tools

Mathematics·2021·3 authors·Open access

44citations

LDAShiny: Interactive Topic Modeling and Bibliometric Analysis via Shiny

·2021·1 author·dataset

1citations