On this page I collect citations to software I maintain or am an author of. Software citations are particularly poorly captured by things like Google Scholar, both because software exists outside of standard citation formats and because software citations are often poorly formatted in publications. For that reason, I find it useful to keep my own list of projects which have cited my work.
If you cited any of my packages in a publication, please let me know – either on Mastodon or via email at mike.mahoney.218+site@gmail.com . I can’t guarantee I’ll add them to this list, for secret reasons, but it always makes me happy to see.
How to cite software
The rOpenSci blog has a fantastic post on how to cite R and R packages, which I quickly summarize below. I highly recommend their post, however, even if you aren’t an R user; most of the topic generalizes to other software pretty easily.
A software citation serves two functions for your readers:
Tells them what you did; for instance, if I see someone cite the sf package, I suddenly know more about the details of their spatial calculations than I can probably get from the text alone.
Tells them how you did it; package version information and source information helps others to replicate your work, and also can help readers assess an analysis. If you use sf >= 1.0.0, for instance, I know that you probably didn’t run into issues doing distance calculations with geographic coordinates, so I don’t need to consider that when I’m reading your results.
Software citations also help the developers of your packages justify developing packages further; if you’re a user of scientific software and want there to still be scientific software in the future, you should cite your software. It also makes me, personally, feel great to see people benefiting from my work, and to see them credit me for any help my software gave them!
As such, you should cite any package that was relevant to the study you performed. If uninstalling the package (or deleting the relevant function calls) would change your results or make your code not run, you should cite it.
If you are an R user, you can get the citations for both R and your packages using the citation() function:
citation()
To cite R in publications use:
R Core Team (2023). _R: A Language and Environment for Statistical
Computing_. R Foundation for Statistical Computing, Vienna, Austria.
<https://www.R-project.org/>.
A BibTeX entry for LaTeX users is
@Manual{,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2023},
url = {https://www.R-project.org/},
}
We have invested a lot of time and effort in creating R, please cite it
when using it for data analysis. See also 'citation("pkgname")' for
citing R packages.
citation("rsample")
To cite package 'rsample' in publications use:
Frick H, Chow F, Kuhn M, Mahoney M, Silge J, Wickham H (2023).
_rsample: General Resampling Infrastructure_.
https://rsample.tidymodels.org,
https://github.com/tidymodels/rsample.
A BibTeX entry for LaTeX users is
@Manual{,
title = {rsample: General Resampling Infrastructure},
author = {Hannah Frick and Fanny Chow and Max Kuhn and Michael Mahoney and Julia Silge and Hadley Wickham},
year = {2023},
note = {https://rsample.tidymodels.org,
https://github.com/tidymodels/rsample},
}
If you aren’t an R user, many scientific software libraries will still provide information on how to cite them – for instance, here’s the instructions for citing numpy. If Google and such return nothing, then I think your best option is to style citations after the official R citation: mimic book citation style, using authors, year, title, publication location, and an accessible URL.
How I track citations
As suggested in a different rOpenSci post, I find the best general tool I have for finding software citations is to set up a Google Scholar alert for my packages and investigate each alert as it comes in. This is not a foolproof method, and I’m sure I miss things; as mentioned above, if you cited any of my packages in a publication, please let me know either on Mastodon or via email at mike.mahoney.218+site@gmail.com .
I only track citations for packages I’m an author on, once I’m an author on them. In cases where a paper mentions the package but doesn’t cite it, I only list the article if it was published after I became an author on the package.
While I track both citations and mentions of my packages, I really want to stress that citations are fantastic, help me justify maintaining open source scientific software (both to my boss and to myself), and make me really happy. Mentions do not. If you are going to mention one of these packages, please give it a full citation.
The citations below are in a variety of formats; I’ll confess to copying journal “cite this article” citations without reformatting for this list. If I messed up my citation for your article, please get in touch to let me know.
Software citations
terrainr
Henderson, A. F., Cheeseman, T., Curcio, N., Marcías, M. L., Andrews, O., & Lea, M.-A. (2023). The most southerly occurrence of humpback whales in the western Weddell Sea. Marine Mammal Science, 1– 8. https://doi.org/10.1111/mms.13033
Fox, N., Serrano-Vergel, R., Van Berkel, D., Lindquist, M. 2022. Towards Gamified Decision Support Systems: In-game 3D Representation of Real-word Landscapes from GIS Datasets. Journal of Digital Landscape Architecture. https://doi.org/10.14627/537724035
Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C. M., Johnson, L. 2022. Mapping Two Decades of New York State Forest Aboveground Biomass Change Using Remote Sensing. Remote Sensing 14(16): 4097. https://doi.org/10.3390/rs14164097
The following are self-citations:
Johnson, L. K., Mahoney, M. J., Desrochers, M. L., & Beier, C. M. 2023. Mapping historical forest biomass for stock-change assessments at parcel to landscape scales. arXiv:2304.02632. https://doi.org/10.48550/arXiv.2304.02632
Johnson, L. K., Mahoney, M. J., Bevilacqua, E., Stehman, S. V., Domke, G. M., & Beier, C. M. (2022). Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages. International Journal of Applied Earth Observation and Geoinformation, 114, 103059. https://doi.org/10.1016/j.jag.2022.103059
Mahoney, M. J., Johnson, L. K., Guinan, A. Z., & Beier, C. M. (2022). Classification and mapping of low-statured shrubland cover types in post-agricultural landscapes of the US Northeast. International Journal of Remote Sensing, 43(19-24), 7117-7138. https://doi.org/10.1080/01431161.2022.2155086
Mahoney et al., (2022). unifir: A Unifying API for Working with Unity in R. Journal of Open Source Software, 7(73), 4388, https://doi.org/10.21105/joss.04388
Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C. M., Johnson, L., Phoenix, D. B., and Mahoney, M. 2022. Decision tree-based machine learning models for above-ground biomass estimation using multi-source remote sensing data and object-based image analysis. Geocarto International 37(26): 12763-12791. https://doi.org/10.1080/10106049.2022.2071475
citation("terrainr")
The United States Geological Survey provides guidelines for citing USGS
data products (as downloaded from 'get_tiles') at:
https://www.usgs.gov/faqs/how-should-i-cite-datasets-and-services-national-map
To cite terrainr in publications please use:
Mahoney M. J., Beier C. M., and Ackerman, A. C. (2022). terrainr: An
R package for creating immersive virtual environments. Journal of
Open Source Software, 7(69), 4060,
https://doi.org/10.21105/joss.04060
A BibTeX entry for LaTeX users is
@Article{,
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {69},
pages = {4060},
author = {Michael J. Mahoney and Colin M. Beier and Aidan C. Ackerman},
title = {{terrainr}: An R package for creating immersive virtual environments},
journal = {Journal of Open Source Software},
doi = {10.21105/joss.04060},
url = {https://doi.org/10.21105/joss.04060},
}
unifir
citation("unifir")
Warning in meta$Date: partial match of 'Date' to 'Date/Publication'
To cite unifir in publications please use:
Mahoney M. J., Beier C. M., and Ackerman, A. C. (2022). unifir: A
Unifying API for Working with Unity in R. Journal of Open Source
Software, 7(73), 4388, https://doi.org/10.21105/joss.04388
A BibTeX entry for LaTeX users is
@Article{,
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {73},
pages = {4388},
author = {Michael J. Mahoney and Colin M. Beier and Aidan C. Ackerman},
title = {{unifir:} A Unifying {API} for Working with {Unity} in {R}},
journal = {Journal of Open Source Software},
doi = {10.21105/joss.04388},
url = {https://doi.org/10.21105/joss.04388},
}
waywiser
citation("waywiser")
To cite waywiser in publications please use:
Mahoney M. J. (2023). waywiser: Ergonomic Methods for Assessing
Spatial Models. arXiv:2303.11312 [cs.MS].
https://doi.org/10.48550/arXiv.2303.11312
A BibTeX entry for LaTeX users is
@Misc{,
title = {waywiser: Ergonomic Methods for Assessing Spatial Models},
author = {Michael J Mahoney},
year = {2023},
eprint = {2303.11312},
archiveprefix = {arXiv},
primaryclass = {cs.MS},
doi = {10.48550/arXiv.2303.11312},
url = {https://arxiv.org/abs/2303.11312},
}
spatialsample
I took over maintenance of spatialsample in mid-2022, after spending the summer interning with the tidymodels crew at Posit working on spatialsample and rsample. I’m responsible for the majority of package functionality. I only track citations here for versions of the package I’m an author on (>= 0.2.0).
Epstein, G., Fuller, S. D., Hingmire, D., Myers, P. G., Peña, A., Pennelly, C., and Baum, J. K.: Predictive mapping of organic carbon stocks and accumulation rates in surficial sediments of the Canadian continental margin, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-295, in review, 2023.
Leonardi, M., Colucci, M., Manica, A. (2023). tidysdm: leveraging the flexibility of tidymodels for Species Distribution Modelling in R. https://doi.org/10.1101/2023.07.24.550358
Pebesma, E., Bivand, R. (2023). Spatial Data Science: With Applications in R (1st ed.). 314 pages. Chapman and Hall/CRC. https://doi.org/10.1201/9780429459016
de Lara, A., Mieno, T., Luck, J.D. et al. Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation. Precision Agric (2023). https://doi.org/10.1007/s11119-023-10018-8
Tutland, Niko J., Rodman, Kyle C., Andrus, Robert A., and Hart, Sarah J. 2023. “Overlapping Outbreaks of Multiple Bark Beetle Species are Rarely More Severe than Single-Species Outbreaks.” Ecosphere 14(3): e4478. https://doi.org/10.1002/ecs2.4478
Skinner, E.B., Glidden, C.K., MacDonald, A.J. et al. Human footprint is associated with shifts in the assemblages of major vector-borne diseases. Nat Sustain (2023). https://doi.org/10.1038/s41893-023-01080-1
Sanderman, J., Smith, C., Safanelli, J. L., Morgan, C. L.S., Ackerman J., Looker, N., Mathers, C., Keating, R., Kumar, A. A. 2023. “Diffuse reflectance mid-infrared spectroscopy is viable without fine milling.” Soil Security 13: 100104. https://doi.org/10.1016/j.soisec.2023.100104
The following are self-citations:
Mahoney, MJ In Review. waywiser: Ergonomic methods for assessing spatial models. https://arxiv.org/abs/2303.11312
citation("spatialsample")
To cite spatialsample in publications please use:
Mahoney M. J., Johnson, L. K., Silge, J., Frick, H., Kuhn, M., and
Beier C. M. (2023). Assessing the performance of spatial
cross-validation approaches for models of spatially structured data.
arXiv. https://doi.org/10.48550/arXiv.2303.07334
A BibTeX entry for LaTeX users is
@Misc{,
title = {Assessing the performance of spatial cross-validation approaches for models of spatially structured data},
author = {Michael J Mahoney and Lucas K Johnson and Julia Silge and Hannah Frick and Max Kuhn and Colin M Beier},
year = {2023},
eprint = {2303.07334},
archiveprefix = {arXiv},
primaryclass = {stat.CO},
doi = {10.48550/arXiv.2303.07334},
url = {https://arxiv.org/abs/2303.07334},
}
rsample
I am an author on rsample after implementing functions for grouped resampling and clustered cross-validation (as well as the “common resampling patterns” vignette and a few other improvements). I only track citations here for versions of the package I’m an author on (>= 1.1.1).
López-Álvarez, Ó., Franco-Vázquez, L., and Marey-Perez, M. (2023). “Base-age invariant models for predicting individual tree accumulated annual resin yield using two tapping methods in maritime pine (Pinus pinaster Ait.) forests in north-western Spain”. Forest Ecology and Management 549: 121501. https://doi.org/10.1016/j.foreco.2023.121501
Lundell, J. 2023. EZtune: A Package for Automated Hyperparameter Tuning in R. https://arxiv.org/abs/2303.12177
Ying R., Monteiro, F. M., Wilson, J. D., and Schmidt, D. N. 2023. ForamEcoGEnIE 2.0: incorporating symbiosis and spine traits into a trait-based global planktic foraminiferal model. Geosci. Model Dev., 16, 813–832, https://doi.org/10.5194/gmd-16-813-2023
Lyu H, Grafton M, Ramilan T, Irwin M, Sandoval E. Assessing the Leaf Blade Nutrient Status of Pinot Noir Using Hyperspectral Reflectance and Machine Learning Models. Remote Sensing. 2023; 15(6):1497. https://doi.org/10.3390/rs15061497
The following are self-citations:
Mahoney, MJ, Johnson, L. K., Silge, J., Frick, H., Kuhn, M., and Beier, C. M. In Review. Assessing the performance of spatial cross-validation approaches for models of spatially structured data. https://arxiv.org/abs/2303.07334
Mahoney, MJ In Review. waywiser: Ergonomic methods for assessing spatial models. https://arxiv.org/abs/2303.11312
To cite package 'rsample' in publications use:
Frick H, Chow F, Kuhn M, Mahoney M, Silge J, Wickham H (2023).
_rsample: General Resampling Infrastructure_.
https://rsample.tidymodels.org,
https://github.com/tidymodels/rsample.
A BibTeX entry for LaTeX users is
@Manual{,
title = {rsample: General Resampling Infrastructure},
author = {Hannah Frick and Fanny Chow and Max Kuhn and Michael Mahoney and Julia Silge and Hadley Wickham},
year = {2023},
note = {https://rsample.tidymodels.org,
https://github.com/tidymodels/rsample},
}
geojsonio
I took over maintaining geojsonio in mid-2022, in order to keep the package on CRAN. Most functionality was either contributed by Scott and Andy or by community contributors; I primarily fix issues to keep the package on CRAN and shepherd community contributions prior to merging them into the project. As with rsample, I only track citations since I joined the project.
To cite package 'geojsonio' in publications use:
Chamberlain S, Teucher A, Mahoney M (2023). _geojsonio: Convert Data
from and to 'GeoJSON' or 'TopoJSON'_. R package version 0.11.1,
<https://CRAN.R-project.org/package=geojsonio>.
A BibTeX entry for LaTeX users is
@Manual{,
title = {geojsonio: Convert Data from and to 'GeoJSON' or 'TopoJSON'},
author = {Scott Chamberlain and Andy Teucher and Michael Mahoney},
year = {2023},
note = {R package version 0.11.1},
url = {https://CRAN.R-project.org/package=geojsonio},
}