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Daniel Nüst

Observed names: Nüst, Daniel, Nüst, Daniel*
Observed institutions: University of Leeds, Aston University, University of Bremen, University of Münster, 52°North Spatial Information Research, Technische Universität Dresden, Ludwig-Maximilians-Universität München
ORCID: 0000-0002-0024-5046
Observed ORCID: 0000-0002-0024-5046
OpenAlex ID: A5003874630
Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty
2022 · Nate Breznau, Eike Mark Rinke, et al. · Proceedings of the National Academy of Sciences · 222
Reproducible research and GIScience: an evaluation using AGILE conference papers
2018 · Daniel Nüst, Carlos Granell, et al. · PeerJ · 107
Ten simple rules for writing Dockerfiles for reproducible data science
2020 · Daniel Nüst, Vanessa Sochat, et al. · PLoS Computational Biology · 106
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Semantically-Enabled Sensor Plug & Play for the Sensor Web
2011 · Arne Bröring, Patrick Maué, et al. · Sensors · 95
Practical Reproducibility in Geography and Geosciences
2020 · Daniel Nüst, Edzer Pebesma · Annals of the American Association of Geographers · 73
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Observing Many Researchers Using the Same Data and Hypothesis Reveals a Hidden Universe of Uncertainty
2021 · Nate Breznau, Eike Mark Rinke, et al. · 68
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Opening the Publication Process with Executable Research Compendia
2017 · Daniel Nüst, Markus Konkol, et al. · D-Lib Magazine · 54
Publishing computational research - a review of infrastructures for reproducible and transparent scholarly communication
2020 · Markus Konkol, Daniel Nüst, et al. · Research Integrity and Peer Review · 40
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The R software environment in reproducible geoscientific research
2012 · Edzer Pebesma, Daniel Nüst, et al. · Eos · 30
CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility
2021 · Daniel Nüst, Stephen J. Eglen · F1000Research · 27
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rticles: Article Formats for R Markdown
2016 · JJ Allaire, Yihui Xie, et al. · 27
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Reproducibility and Practical Adoption of GEOBIA with Open-Source Software in Docker Containers
2017 · Christian Knoth, Daniel Nüst · Remote Sensing · 24
The role of metadata in reproducible computational research
2021 · Jeremy Leipzig, Daniel Nüst, et al. · Patterns · 20
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containerit: Generating Dockerfiles for reproducible research with R
2019 · Daniel Nüst, Matthias Hinz · The Journal of Open Source Software · 19
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CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility
2021 · Daniel Nüst, Stephen J. Eglen · F1000Research · 13
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The Rockerverse: Packages and Applications for Containerisation with R
2020 · Daniel Nüst, Dirk Eddelbuettel, et al. · The R Journal · 13
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Connecting R to the Sensor Web
2011 · Daniel Nüst, Christoph Stasch, et al. · Lecture notes in geoinformation and cartography · 12
AGILE Reproducible Paper Guidelines
2019 · Hofer, Barbara, Granell, Carlos, et al. · 10
The Reliability of Replications: A Study in Computational Reproductions
2021 · Nate Breznau, Eike Mark Rinke, et al. · 9
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Discovering the Sensor Web through Mobile Applications
2011 · Theodor Foerster, Daniel Nüst, et al. · Lecture notes in geoinformation and cartography · 9
CODECHECK: An open-science initiative to facilitate sharing of computer programs and results presented in scientific publications
2019 · Stephen Eglen, Daniel Nüst · Septentrio Conference Series · 8
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Guerrilla Badges for Reproducible Geospatial Data Science (AGILE 2019 Short Paper)
2019 · Daniel Nüst, Lukas Lohoff, et al. · 7
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Reproducibility Package For "Reproducible Research And Giscience: An Evaluation Using Agile Conference Papers"
2018 · Nüst, Daniel · Figshare · 7
Reproducibility package for "Reproducible Research and GIScience: an evaluation using GIScience conference papers"
2020 · Nüst, Daniel, Ostermann, Frank, et al. · University of Twente Research Information · 6
Monitoring and predictive mapping of floristic biodiversity along a climatic gradient in ENSO's terrestrial core region, NW Peru
2020 · Jannes Muenchow, Petra Dieker, et al. · Ecography · 6
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Works count: 203
Citation count: 1,125
H-index: 14
I10-index: 18
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