| Evaluating Bayesian networks’ precision for detecting students’ learning styles P García, A Amandi, S Schiaffino, M Campo Computers & Education 49 (3), 794-808, 2007 | 674 | 2007 |
| An overview of 3D software visualization AR Teyseyre, MR Campo IEEE transactions on visualization and computer graphics 15 (1), 87-105, 2008 | 318 | 2008 |
| Identification of non-functional requirements in textual specifications: A semi-supervised learning approach A Casamayor, D Godoy, M Campo Information and Software Technology 52 (4), 436-445, 2010 | 244 | 2010 |
| Survey on network‐based botnet detection methods S García, A Zunino, M Campo Security and Communication Networks 7 (5), 878-903, 2014 | 146 | 2014 |
| Intelligent assistance for teachers in collaborative e-learning environments A Casamayor, A Amandi, M Campo Computers & Education 53 (4), 1147-1154, 2009 | 137 | 2009 |
| Easy gesture recognition for Kinect R Ibanez, A Soria, A Teyseyre, M Campo Advances in Engineering Software 76, 171-180, 2014 | 118 | 2014 |
| Virtual Scrum: A teaching aid to introduce undergraduate software engineering students to scrum G Rodriguez, Á Soria, M Campo Computer Applications in Engineering Education 23 (1), 147-156, 2015 | 116 | 2015 |
| Easy web service discovery: A query-by-example approach M Crasso, A Zunino, M Campo Science of Computer Programming 71 (2), 144-164, 2008 | 112 | 2008 |
| A survey of approaches to web service discovery in service-oriented architectures M Crasso, A Zunino, M Campo Journal of Database Management (JDM) 22 (1), 102-132, 2011 | 96 | 2011 |
| Improving Web Service descriptions for effective service discovery JM Rodriguez, M Crasso, A Zunino, M Campo Science of Computer Programming 75 (11), 1001-1021, 2010 | 91 | 2010 |
| Analyzing the role of aspects in software design JA Díaz Pace, MR Campo Communications of the ACM 44 (10), 66-73, 2001 | 85 | 2001 |
| Awsc: An approach to web service classification based on machine learning techniques M Crasso, A Zunino, M Campo Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial …, 2008 | 83 | 2008 |
| Are learning styles useful indicators to discover how students use Scrum for the first time? E Scott, G Rodríguez, Á Soria, M Campo Computers in Human Behavior 36, 56-64, 2014 | 81 | 2014 |
| Using Bayesian networks to detect students’ learning styles in a web-based education system P García, A Amandi, S Schiaffino, M Campo Proc of ASAI, Rosario 115, 126, 2005 | 80 | 2005 |
| Measuring the impact of agile coaching on students’ performance G Rodríguez, Á Soria, M Campo IEEE Transactions on Education 59 (3), 202-209, 2016 | 75 | 2016 |
| Functional grouping of natural language requirements for assistance in architectural software design A Casamayor, D Godoy, M Campo Knowledge-Based Systems 30, 78-86, 2012 | 71 | 2012 |
| Adaptive 3D virtual learning environments—A review of the literature E Scott, A Soria, M Campo IEEE Transactions on Learning technologies 10 (3), 262-276, 2016 | 65 | 2016 |
| Revising WSDL documents: Why and how M Crasso, JM Rodriguez, A Zunino, M Campo IEEE Internet Computing 14 (5), 48-56, 2010 | 63 | 2010 |
| Automatically detecting opportunities for web service descriptions improvement JM Rodriguez, M Crasso, A Zunino, M Campo Conference on e-Business, e-Services and e-Society, 139-150, 2010 | 59 | 2010 |
| Chronos: A multi-agent system for distributed automatic meeting scheduling A Zunino, M Campo Expert Systems with Applications 36 (3), 7011-7018, 2009 | 52 | 2009 |
Alejandro ZuninoProfessor of Computer Science, Principal Research Scientist, ISISTAN, UNICEN & CONICETVerifierad e-postadress på isistan.unicen.edu.ar