| Persisting big-data: The NoSQL landscape A Corbellini, C Mateos, A Zunino, D Godoy, S Schiaffino Information Systems 63, 1-23, 2017 | 218 | 2017 |
| RESTful service composition at a glance: A survey M Garriga, C Mateos, A Flores, A Cechich, A Zunino Journal of Network and Computer Applications 60, 32-53, 2016 | 142 | 2016 |
| Faaster, better, cheaper: The prospect of serverless scientific computing and hpc J Spillner, C Mateos, DA Monge High Performance Computing: 4th Latin American Conference, CARLA 2017 …, 2018 | 115 | 2018 |
| Body condition estimation on cows from depth images using Convolutional Neural Networks JR Alvarez, M Arroqui, P Mangudo, J Toloza, D Jatip, JM Rodríguez, ... Computers and electronics in agriculture 155, 12-22, 2018 | 99 | 2018 |
| Balancing throughput and response time in online scientific Clouds via Ant Colony Optimization (SP2013/2013/00006) E Pacini, C Mateos, CG Garino Advances in Engineering Software 84, 31-47, 2015 | 92 | 2015 |
| Distributed job scheduling based on Swarm Intelligence: A survey E Pacini, C Mateos, CG Garino Computers & Electrical Engineering 40 (1), 252-269, 2014 | 88 | 2014 |
| Reinforcement learning-based application autoscaling in the cloud: A survey Y Garí, DA Monge, E Pacini, C Mateos, CG Garino Engineering Applications of Artificial Intelligence 102, 104288, 2021 | 70 | 2021 |
| An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments C Mateos, E Pacini, CG Garino Advances in Engineering Software 56, 38-50, 2013 | 69 | 2013 |
| Estimating body condition score in dairy cows from depth images using convolutional neural networks, transfer learning and model ensembling techniques J Rodriguez Alvarez, M Arroqui, P Mangudo, J Toloza, D Jatip, ... Agronomy 9 (2), 90, 2019 | 65 | 2019 |
| RESTful Web Services improve the efficiency of data transfer of a whole-farm simulator accessed by Android smartphones M Arroqui, C Mateos, C Machado, A Zunino Computers and Electronics in agriculture 87, 14-18, 2012 | 65 | 2012 |
| Detecting WSDL bad practices in code–first Web Services C Mateos, M Crasso, A Zunino, JLO Coscia International Journal of Web and Grid Services 7 (4), 357-387, 2011 | 58 | 2011 |
| Best practices for describing, consuming, and discovering web services: a comprehensive toolset JM Rodriguez, M Crasso, C Mateos, A Zunino Software: Practice and Experience 43 (6), 613-639, 2013 | 57 | 2013 |
| A tool to improve code‐first Web services discoverability through text mining techniques C Mateos, JM Rodriguez, A Zunino Software: Practice and Experience 45 (7), 925-948, 2015 | 49 | 2015 |
| Bottom-up and top-down cobol system migration to web services JM Rodriguez, M Crasso, C Mateos, A Zunino, M Campo IEEE Internet Computing 17 (2), 44-51, 2011 | 49 | 2011 |
| A survey on approaches to gridification C Mateos, A Zunino, M Campo Software: Practice and Experience 38 (5), 523-556, 2008 | 48 | 2008 |
| Dynamic scheduling based on particle swarm optimization for cloud-based scientific experiments E Pacini, C Mateos, C García Garino CLEI Electronic Journal 17 (1), 3-3, 2014 | 46 | 2014 |
| Energy-efficient job stealing for CPU-intensive processing in mobile devices JM Rodriguez, C Mateos, A Zunino Computing 96 (2), 87-117, 2014 | 46 | 2014 |
| Easysoc: Making web service outsourcing easier M Crasso, C Mateos, A Zunino, M Campo Information Sciences 259, 452-473, 2014 | 45 | 2014 |
| Augmenting computing capabilities at the edge by jointly exploiting mobile devices: A survey M Hirsch, C Mateos, A Zunino Future Generation Computer Systems 88, 644-662, 2018 | 42 | 2018 |
| A two-phase energy-aware scheduling approach for cpu-intensive jobs in mobile grids M Hirsch, JM Rodríguez, C Mateos, A Zunino Journal of Grid Computing 15, 55-80, 2017 | 40 | 2017 |
