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Trends in major intensive care medicine journals: A machine learning approach
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References

  • 1949Rank Correlation Methods.2,416 cited
  • 2014Structural Topic Models for Open‐Ended Survey Responses1,967 cited
  • 2019stm : An R Package for Structural Topic Models1,713 cited
  • 2016A Model of Text for Experimentation in the Social Sciences734 cited
  • 2017Text Mining with R: A Tidy Approach565 cited
  • 2015Computer-Assisted Text Analysis for Comparative Politics478 cited
  • 2014Intensive care medicine is 60 years old: the history and future of the intensive care unit194 cited
  • 2011The birth of intensive care medicine: Björn Ibsen’s records95 cited
  • 2015Supporting systematic reviews using LDA-based document representations83 cited
  • 2020Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing81 cited
  • 2012The top cited clinical research articles on sepsis: a bibliometric analysis65 cited
  • 2019A Trend Analysis of Machine Learning Research with Topic Models and Mann-Kendall Test33 cited
  • 2018The Most-Cited Works in Severe Traumatic Brain Injury: A Bibliometric Analysis of the 100 Most-Cited Articles32 cited
  • 2018The top 2,000 cited articles in critical care medicine: a bibliometric analysis27 cited
  • 2009History of Critical Care Medicine: The Past, the Present and the Future

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