| Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm M Gagolewski, M Bartoszuk, A Cena Information Sciences 363, 8-23, 2016 | 91 | 2016 |
| Three dimensions of scientific impact G Siudem, B Żogała-Siudem, A Cena, M Gagolewski Proceedings of the National Academy of Sciences 117 (25), 13896-13900, 2020 | 36 | 2020 |
| Are cluster validity measures (in) valid? M Gagolewski, M Bartoszuk, A Cena Information Sciences 581, 620-636, 2021 | 26 | 2021 |
| Genie+ OWA: Robustifying hierarchical clustering with OWA-based linkages A Cena, M Gagolewski Information Sciences 520, 324-336, 2020 | 18 | 2020 |
| Agent-based model for the h-index–exact solution B Żogała-Siudem, G Siudem, A Cena, M Gagolewski The European Physical Journal B 89, 1-9, 2016 | 14 | 2016 |
| Quality assessment of the use of a medium format camera in the investigation of wall paintings: An image-based approach J Markiewicz, M Pilarska, S Łapiński, A Kaliszewska, R Bieńkowski, ... Measurement 132, 224-237, 2019 | 12 | 2019 |
| Ockham’s index of citation impact M Gagolewski, B Żogała-Siudem, G Siudem, A Cena Scientometrics 127 (5), 2829-2845, 2022 | 10 | 2022 |
| Hierarchical clustering via penalty-based aggregation and the Genie approach M Gagolewski, A Cena, M Bartoszuk Modeling Decisions for Artificial Intelligence: 13th International …, 2016 | 8 | 2016 |
| OM3: Ordered maxitive, minitive, and modular aggregation operators–Axiomatic and probabilistic properties in an arity-monotonic setting A Cena, M Gagolewski Fuzzy Sets and Systems 264, 138-159, 2015 | 8 | 2015 |
| OM3: Ordered Maxitive, Minitive, and Modular aggregation operators: axiomatic analysis under arity-dependence (I) A Cena, M Gagolewski Aggregation Functions in Theory and in Practise: Proceedings of the 7th …, 2013 | 8 | 2013 |
| Validating citation models by proxy indices A Cena, M Gagolewski, G Siudem, B Żogała-Siudem Journal of Informetrics 16 (2), 101267, 2022 | 7 | 2022 |
| Przetwarzanie i analiza danych w języku Python M Gągolewski, M Bartoszuk, A Cena Wydawnictwo Naukowe PWN, 2016 | 7 | 2016 |
| Problems and challenges of information resources producers’ clustering A Cena, M Gagolewski, R Mesiar Journal of Informetrics 9 (2), 273-284, 2015 | 7 | 2015 |
| OM3: ordered maxitive, minitive, and modular aggregation operators–Part II: A simulation study A Cena, M Gagolewski Aggregation Functions in Theory and in Practise (AISC 228), 105-115, 2013 | 5 | 2013 |
| Clustering with minimum spanning trees: How good can it be? M Gagolewski, A Cena, M Bartoszuk, Ł Brzozowski arXiv preprint arXiv:2303.05679, 2023 | 3 | 2023 |
| Fuzzy k-minpen clustering and k-nearest-minpen classification procedures incorporating generic distance-based penalty minimizers A Cena, M Gagolewski Information Processing and Management of Uncertainty in Knowledge-Based …, 2016 | 3 | 2016 |
| A K-means-like algorithm for informetric data clustering A Cena, M Gagolewski Deakin University, 2015 | 3 | 2015 |
| Aggregation and Soft Clustering of Informetric Data. A Cena, M Gagolewski AGOP, 79-84, 2015 | 3 | 2015 |
| Interpretable reparameterisations of citation models B Żogała-Siudem, A Cena, G Siudem, M Gagolewski Journal of Informetrics 17 (1), 101355, 2023 | 2 | 2023 |
| OM3: Ordered Maxitive, Minitive, and Modular Aggregation Operators. A Simulation Study (II). A Cena, M Gagolewski AGOP, 105-115, 2013 | 2 | 2013 |
