To cite bnlearn in publications use the most appropriate among: A teaching book about Bayesian networks based on bnlearn: Marco Scutari, Jean-Baptiste Denis. (2021) Bayesian Networks with Examples in R, 2nd edition. Chapman and Hall, Boca Raton. ISBN 978-0367366513. A BibTeX entry for LaTeX users is @Book{, title = {Bayesian Networks with Examples in {R}}, author = {Marco Scutari and Jean-Baptiste Denis}, edition = {2nd}, publisher = {Chapman and Hall}, address = {Boca Raton}, year = {2021}, note = {ISBN 978-0367366513}, } To cite applications of Bayesian networks in genetics and systems biology you may want to use: Radhakrishnan Nagarajan, Marco Scutari, Sophie Lebre. (2013) Bayesian Networks in R with Applications in Systems Biology. Springer, New York. ISBN 978-1-4614-6445-7. A BibTeX entry for LaTeX users is @Book{, title = {Bayesian Networks in {R} with Applications in Systems Biology}, author = {Radhakrishnan Nagarajan and Marco Scutari}, publisher = {Springer}, address = {New York}, year = {2013}, note = {ISBN 978-1-4614-6445-7, 978-1-4614-6446-4}, doi = {10.1007/978-1-4614-6446-4}, } To cite parallel computing for bnlearn in publications use: Marco Scutari (2017). Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimized Implementations in the bnlearn R Package. Journal of Statistical Software, 77(2), 1-20. doi:10.18637/jss.v077.i02 A BibTeX entry for LaTeX users is @Article{, title = {Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimized Implementations in the {bnlearn} {R} Package}, author = {Marco Scutari}, journal = {Journal of Statistical Software}, year = {2017}, volume = {77}, number = {2}, pages = {1--20}, doi = {10.18637/jss.v077.i02}, } To cite general use of bnlearn in publications use: Marco Scutari (2010). Learning Bayesian Networks with the bnlearn R Package. Journal of Statistical Software, 35(3), 1-22. URL http://www.jstatsoft.org/v35/i03/. A BibTeX entry for LaTeX users is @Article{, title = {Learning Bayesian Networks with the {bnlearn} {R} Package}, author = {Marco Scutari}, journal = {Journal of Statistical Software}, year = {2010}, volume = {35}, number = {3}, pages = {1--22}, doi = {10.18637/jss.v035.i03}, } This last is the original JSS paper for the package.