Efficient heuristics for maximum common substructure search P Englert, P Kovács Journal of chemical information and modeling 55 (5), 941-955, 2015 | 40 | 2015 |
Plant growth and foraging for a patchy resource: a credit model B Oborny, P Englert Ecological Modelling 234, 20-30, 2012 | 28 | 2012 |
The plant in the labyrinth: adaptive growth and branching in heterogeneous environments B Oborny, V Benedek, P Englert, M Gulyás, AG Hubai Journal of Theoretical Biology 412, 146-153, 2017 | 9 | 2017 |
The effect of branching angle on adaptive growth in patchy environments V Benedek, P Englert, B Oborny Evolutionary Ecology 31, 333-344, 2017 | 8 | 2017 |
Betweenness versus linerank B Kósa, M Balassi, P Englert, A Kiss Computational Collective Intelligence. Technologies and Applications: 6th …, 2014 | 7 | 2014 |
The effect of ramet mortality on clonal plant growth V Benedek, P Englert Theory in Biosciences 138 (2), 215-221, 2019 | 5 | 2019 |
Making the most of approximate maximum common substructure search P Englert, P Kovács Journal of Cheminformatics 6 (Suppl 1), P29, 2014 | 2 | 2014 |
A basic network analytic package for rapidminer B Kósa, M Balassi, P Englert, G Rácz, Z Pusztai, A Kiss Rapid Miner World 6, 2014 | 1 | 2014 |
Efficiency issues of computing graph properties of social networks P Englert, M Balassi, B Kósa, A Kiss 9th International Conference on Applied Informatics, Eger, 2014 | 1 | 2014 |