Just a few words... I usually cite softwares, especially if they are opensource (and encourage everyone to do so). Of course I would not append references for rkward or kile to my bib (neither word or excel).
While the response of the researcher using your software is not convincing, you can easily check if it is the journal's deliberate policy to exclude software references - e.g. to save space - or it was simply the author's ignorance why your package was not cited. The latter case seems to be more likely though. In defense of the 'ignorant' author, it should be noted that it is not always clear how to cite a software. For example, neither typing citation(tweedie), nor browsing through tweedie's documentation tells me how to cite it (of course, as a last resort I can mail the author of the package). Probably I would not be so helpless if we were in the same research field though. Related to this, can offer some explanation how to figure out the citations of packages in publications? best wishes, gabor Appendix: The sections below are straight from R console. > citation() To cite R in publications use: R Development Core Team (2008). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org. A BibTeX entry for LaTeX users is @Manual{, title = {R: A Language and Environment for Statistical Computing}, author = {{R Development Core Team}}, organization = {R Foundation for Statistical Computing}, address = {Vienna, Austria}, year = {2008}, note = {{ISBN} 3-900051-07-0}, url = {http://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(tweedie) Error in match(x, table, nomatch = 0) : 'match' requires vector arguments ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
