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Troubling Trends in Scientific Software Use
3 references·16 citing·43 second hop
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References

  • 2009The Fourth Paradigm: Data-Intensive Scientific Discovery1,415 cited
  • 2012The case for open computer programs537 cited
  • 2010Computational science: ...Error222 cited

Cited by

  • 2021EntropyHub: An open-source toolkit for entropic time series analysis136 cited
  • 2013The Software Sustainability Institute: Changing Research Software Attitudes and Practices89 cited
  • 2014Sources of error in the retracted scientific literature89 cited
  • 2020Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach88 cited
  • 2015Global governance through the pairing of list and algorithm83 cited
  • 2014SESSL81 cited
  • 2015Grand challenges for modeling and simulation: simulation everywhere—from cyberinfrastructure to clouds to citizens68 cited
  • 2014A Computational Model Library for publishing model documentation and code56 cited
  • 2022A survey of the state of the practice for research software in the United States54 cited
  • 2014Data, generative models, and mechanisms: More on the principles of analytical sociology52 cited
  • 2016Best practices for replicability, reproducibility and reusability of computer-based experiments exemplified by model reduction software51 cited

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  • 2018Towards computational reproducibility: researcher perspectives on the use and sharing of software49 cited
  • 2015Rampant software errors may undermine scientific results47 cited
  • 2021Reasons, challenges, and some tools for doing reproducible transportation research43 cited
  • 2013MOSAIC: A Data Model and File Formats for Molecular Simulations39 cited
  • 2015So You Think You Can Model? A Guide to Building and Evaluating Archaeological Simulation Models of Dispersals39 cited