| Microbiome datasets are compositional: and this is not optional GB Gloor, JM Macklaim, V Pawlowsky-Glahn, JJ Egozcue Frontiers in microbiology 8, 2224, 2017 | 2499 | 2017 |
| Isometric logratio transformations for compositional data analysis JJ Egozcue, V Pawlowsky-Glahn, G Mateu-Figueras, C Barcelo-Vidal Mathematical geology 35 (3), 279-300, 2003 | 2300 | 2003 |
| Modeling and analysis of compositional data V Pawlowsky-Glahn, JJ Egozcue, R Tolosana-Delgado John Wiley & Sons, 2015 | 1019 | 2015 |
| Groups of parts and their balances in compositional data analysis JJ Egozcue, V Pawlowsky-Glahn Mathematical Geology 37, 795-828, 2005 | 754 | 2005 |
| Compositional data and their analysis: an introduction V Pawlowsky-Glahn, JJ Egozcue Geological Society, London, Special Publications 264 (1), 1-10, 2006 | 515 | 2006 |
| Geometric approach to statistical analysis on the simplex V Pawlowsky-Glahn, JJ Egozcue Stochastic Environmental Research and Risk Assessment 15, 384-398, 2001 | 490 | 2001 |
| Compositional data analysis: where are we and where should we be heading? J Aitchison, J J. Egozcue Mathematical Geology 37, 829-850, 2005 | 474 | 2005 |
| It's all relative: analyzing microbiome data as compositions GB Gloor, JR Wu, V Pawlowsky-Glahn, JJ Egozcue Annals of epidemiology 26 (5), 322-329, 2016 | 325 | 2016 |
| Proportionality: a valid alternative to correlation for relative data D Lovell, V Pawlowsky-Glahn, JJ Egozcue, S Marguerat, J Bähler PLoS computational biology 11 (3), e1004075, 2015 | 325 | 2015 |
| Simplicial geometry for compositional data JJ Egozcue, V Pawlowsky-Glahn | 241 | 2006 |
| Balances: a new perspective for microbiome analysis J Rivera-Pinto, JJ Egozcue, V Pawlowsky-Glahn, R Paredes, ... MSystems 3 (4), 10.1128/msystems. 00053-18, 2018 | 238 | 2018 |
| Hilbert space of probability density functions based on Aitchison geometry JJ Egozcue, JL Díaz–Barrero, V Pawlowsky–Glahn Acta Mathematica Sinica 22 (4), 1175-1182, 2006 | 182 | 2006 |
| Microbiome datasets are compositional: and this is not optional. Front Microbiol 8: 2224 GB Gloor, JM Macklaim, V Pawlowsky-Glahn, JJ Egozcue | 179 | 2017 |
| BLU estimators and compositional data V Pawlowsky-Glahn, JJ Egozcue Mathematical Geology 34, 259-274, 2002 | 163 | 2002 |
| The principle of working on coordinates G Mateu‐Figueras, V Pawlowsky‐Glahn, JJ Egozcue Compositional data analysis: Theory and applications, 29-42, 2011 | 162 | 2011 |
| Bayes hilbert spaces KG Van den Boogaart, JJ Egozcue, V Pawlowsky‐Glahn Australian & New Zealand Journal of Statistics 56 (2), 171-194, 2014 | 151 | 2014 |
| Exploring compositional data with the CoDa-dendrogram V Pawlowsky-Glahn, JJ Egozcue Austrian Journal of Statistics 40 (1&2), 103-113, 2011 | 148 | 2011 |
| Basic concepts and procedures JJ Egozcue, V Pawlowsky‐Glahn Compositional data analysis: Theory and applications, 12-28, 2011 | 130 | 2011 |
| The plant ionome revisited by the nutrient balance concept SÉ Parent, LE Parent, JJ Egozcue, DE Rozane, A Hernandes, L Lapointe, ... Frontiers in plant science 4, 39, 2013 | 124 | 2013 |
| Coda-Q Distribution In the Iberian Peninsula LG Pujades, JA Canas, JJ Egozcue, MA Puigvi, J Gallart, X Lana, J Pous, ... Geophysical Journal International 100 (2), 285-301, 1990 | 116 | 1990 |
