| Nonlinear parameter estimation through particle swarm optimization M Schwaab, EC Biscaia Jr, JL Monteiro, JC Pinto Chemical Engineering Science 63 (6), 1542-1552, 2008 | 476 | 2008 |
| Optimum reference temperature for reparameterization of the Arrhenius equation. Part 1: Problems involving one kinetic constant M Schwaab, JC Pinto Chemical Engineering Science 62 (10), 2750-2764, 2007 | 307 | 2007 |
| The use of particle swarm optimization for dynamical analysis in chemical processes CO Ourique, EC Biscaia Jr, JC Pinto Computers & Chemical Engineering 26 (12), 1783-1793, 2002 | 180 | 2002 |
| Use of polyhydroxybutyrate and ethyl cellulose for coating of urea granules MME Costa, ECM Cabral-Albuquerque, TLM Alves, JC Pinto, RL Fialho Journal of agricultural and food chemistry 61 (42), 9984-9991, 2013 | 161 | 2013 |
| Análise de dados experimentais I: Fundamentos de estatística e estimação de parâmetros M Schwaab, JC Pinto E-papers, Rio de Janeiro, 462, 2007 | 150 | 2007 |
| When polymer reaction engineers play dice: applications of Monte Carlo models in PRE ALT Brandao, JBP Soares, JC Pinto, AL Alberton Macromolecular Reaction Engineering 9 (3), 141-185, 2015 | 129 | 2015 |
| A suitable model to describe bioremediation of a petroleum-contaminated soil DM Pala, DD de Carvalho, JC Pinto, GL Sant’Anna Jr International Biodeterioration & Biodegradation 58 (3-4), 254-260, 2006 | 129 | 2006 |
| Modeling and optimization of the combined carbon dioxide reforming and partial oxidation of natural gas AL Larentis, NS de Resende, VMM Salim, JC Pinto Applied Catalysis A: General 215 (1-2), 211-224, 2001 | 129 | 2001 |
| Uma revisão sobre os processos de polimerização em suspensão F Machado, EL Lima, JC Pinto Polímeros 17, 166-179, 2007 | 122 | 2007 |
| Optimum reference temperature for reparameterization of the Arrhenius equation. Part 2: Problems involving multiple reparameterizations M Schwaab, LP Lemos, JC Pinto Chemical Engineering Science 63 (11), 2895-2906, 2008 | 118 | 2008 |
| Nonlinear dynamic data reconciliation and parameter estimation through particle swarm optimization: Application for an industrial polypropylene reactor DM Prata, M Schwaab, EL Lima, JC Pinto Chemical Engineering Science 64 (18), 3953-3967, 2009 | 117 | 2009 |
| Simultaneous robust data reconciliation and gross error detection through particle swarm optimization for an industrial polypropylene reactor DM Prata, M Schwaab, EL Lima, JC Pinto Chemical Engineering Science 65 (17), 4943-4954, 2010 | 116 | 2010 |
| A review on robust M-estimators for regression analysis DQF De Menezes, DM Prata, AR Secchi, JC Pinto Computers & Chemical Engineering 147, 107254, 2021 | 108 | 2021 |
| A survey of advanced control of polymerization reactors M Embirucu, EL Lima, JC Pinto Polymer Engineering & Science 36 (4), 433-447, 1996 | 106 | 1996 |
| Monitoring and control of polymerization reactors using NIR spectroscopy AF Santos, FM Silva, MK Lenzi, JC Pinto* Polymer-Plastics Technology and Engineering 44 (1), 1-61, 2005 | 100 | 2005 |
| Statistical analysis of linear and non-linear regression for the estimation of adsorption isotherm parameters TA Osmari, R Gallon, M Schwaab, E Barbosa-Coutinho, JB Severo Jr, ... Adsorption Science & Technology 31 (5), 433-458, 2013 | 98 | 2013 |
| A magnetic composite for cleaning of oil spills on water F Gomes de Souza Jr, JA Marins, CHM Rodrigues, JC Pinto Macromolecular Materials and Engineering 295 (10), 942-948, 2010 | 92 | 2010 |
| In‐line evaluation of average particle size in styrene suspension polymerizations using near‐infrared spectroscopy AF Santos, EL Lima, JC Pinto Journal of Applied Polymer Science 70 (9), 1737-1745, 1998 | 91 | 1998 |
| Métodos numéricos em problemas de engenharia química JC Pinto Editora E-papers, 2001 | 88 | 2001 |
| Steady-state modeling of slurry and bulk propylene polymerizations AGM Neto, JC Pinto Chemical Engineering Science 56 (13), 4043-4057, 2001 | 86 | 2001 |
