| Measuring transit use variability with smart-card data C Morency, M Trépanier, B Agard Transport Policy 14 (3), 193-203, 2007 | 424 | 2007 |
| Mining public transport user behaviour from smart card data B Agard, C Morency, M Trépanier IFAC Proceedings Volumes 39 (3), 399-404, 2006 | 354 | 2006 |
| Data-mining-based methodology for the design of product families B Agard, A Kusiak* International Journal of Production Research 42 (15), 2955-2969, 2004 | 258 | 2004 |
| Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy MS Ghaemi, DB DiGiulio, K Contrepois, B Callahan, TTM Ngo, ... Bioinformatics 35 (1), 95-103, 2019 | 187 | 2019 |
| Calculation of transit performance measures using smartcard data M Trépanier, C Morency, B Agard Journal of Public Transportation 12 (1), 79-96, 2009 | 146 | 2009 |
| Analysing the variability of transit users behaviour with smart card data C Morency, M Trépanier, B Agard 2006 IEEE intelligent transportation systems conference, 44-49, 2006 | 136 | 2006 |
| A classification of public transit users with smart card data based on time series distance metrics and a hierarchical clustering method L He, B Agard, M Trépanier Transportmetrica A: Transport Science 16 (1), 56-75, 2020 | 132 | 2020 |
| Data mining for improvement of product quality C Da Cunha, B Agard, A Kusiak International journal of production research 44 (18-19), 4027-4041, 2006 | 117 | 2006 |
| Mutual impacts of product standardization and supply chain design B Baud-Lavigne, B Agard, B Penz International Journal of Production Economics 135 (1), 50-60, 2012 | 116 | 2012 |
| Design for cost: module-based mass customization C Da Cunha, B Agard, A Kusiak IEEE Transactions on Automation Science and Engineering 4 (3), 350-359, 2007 | 106 | 2007 |
| Modular design of product families for quality and cost B Agard, S Bassetto International Journal of Production Research 51 (6), 1648-1667, 2013 | 96 | 2013 |
| Car sharing system: what transaction datasets reveal on users' behaviors C Morency, M Trépanier, B Agard, B Martin, J Quashie 2007 IEEE Intelligent Transportation Systems Conference, 284-289, 2007 | 85 | 2007 |
| Forecast of individual customer’s demand from a large and noisy dataset PW Murray, B Agard, MA Barajas Computers & industrial engineering 118, 33-43, 2018 | 83 | 2018 |
| A new method for evaluating the best product end-of-life strategy during the early design phase M Remery, C Mascle, B Agard Journal of Engineering Design 23 (6), 419-441, 2012 | 81 | 2012 |
| A simulated annealing method based on a clustering approach to determine bills of materials for a large product family B Agard, B Penz International Journal of Production Economics 117 (2), 389-401, 2009 | 76 | 2009 |
| Environmental constraints in joint product and supply chain design optimization B Baud-Lavigne, B Agard, B Penz Computers & Industrial Engineering 76, 16-22, 2014 | 74 | 2014 |
| Market segmentation through data mining: A method to extract behaviors from a noisy data set PW Murray, B Agard, MA Barajas Computers & Industrial Engineering 109, 233-252, 2017 | 72 | 2017 |
| Forecasting supply chain demand by clustering customers PW Murray, B Agard, MA Barajas IFAC-PapersOnLine 48 (3), 1834-1839, 2015 | 72 | 2015 |
| A visual segmentation method for temporal smart card data MS Ghaemi, B Agard, M Trépanier, V Partovi Nia Transportmetrica A: Transport Science 13 (5), 381-404, 2017 | 68 | 2017 |
| A survey of models and algorithms for emergency response logistics in electric distribution systems. Part I: Reliability planning with fault considerations N Perrier, B Agard, P Baptiste, JM Frayret, A Langevin, R Pellerin, ... Computers & Operations Research 40 (7), 1895-1906, 2013 | 65 | 2013 |
Martin Trépanierprofesseur titulaire, Polytechnique Montréal, CIRRELTVerified email at polymtl.ca
