Publications
Summary
86 publications in total, including:
43 journal papers,
6 research monographs and textbooks (also open-access!),
H-index = 16 (G**gle Scholar)
Featured Papers
M. Gagolewski, stringi: Fast and portable character string processing in R, Journal of Statistical Software 103(2), 1–59, 2022, DOI:10.18637/jss.v103.i02, URL:https://stringi.gagolewski.com
M. Gagolewski, M. Bartoszuk, A. Cena, Are cluster validity measures (in)valid?, Information Sciences 581, 620–636, 2021, DOI:10.1016/j.ins.2021.10.004, URL:https://github.com/gagolews/optim_cvi
J. Lasek, M. Gagolewski, Interpretable sports team rating models based on the gradient descent algorithm, International Journal of Forecasting 37(3), 1061–1071, 2021, DOI:10.1016/j.ijforecast.2020.11.008
G. Siudem, B. Żogała-Siudem, A. Cena, M. Gagolewski, Three dimensions of scientific impact, Proceedings of the National Academy of Sciences of the United States of America (PNAS) 117, 13896–13900, 2020, DOI:10.1073/pnas.2001064117
R. Pérez-Fernández, B. De Baets, M. Gagolewski, A taxonomy of monotonicity properties for the aggregation of multidimensional data, Information Fusion 52, 322–334, 2019, DOI:10.1016/j.inffus.2019.05.006
M. Gagolewski, S. James, G. Beliakov, Supervised learning to aggregate data with the Sugeno integral, IEEE Transactions on Fuzzy Systems 27(4), 810–815, 2019, DOI:10.1109/TFUZZ.2019.2895565
M. Gagolewski, M. Bartoszuk, A. Cena, Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm, Information Sciences 363, 8–23, 2016, DOI:10.1016/j.ins.2016.05.003, URL:https://genieclust.gagolewski.com
M. Gagolewski, Spread measures and their relation to aggregation functions, European Journal of Operational Research 241(2), 469–477, 2015, DOI:10.1016/j.ejor.2014.08.034
M. Gagolewski, Statistical hypothesis test for the difference between Hirsch indices of two Pareto-distributed random samples, in: R. Kruse et al. (eds.), Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Springer, 2013, pp. 359–367, DOI:10.1007/978-3-642-33042-1_39