| From representation to mediation: a new agenda for conceptual modeling research in a digital world JC Recker, R Lukyanenko, M Jabbari Sabegh, B Samuel, A Castellanos MIS Quarterly: Management Information Systems 45 (1), 269-300, 2021 | 153 | 2021 |
| Digitization of land records: From paper to blockchain R Benbunan-Fich, A Castellanos | 88 | 2018 |
| Using conceptual modeling to support machine learning R Lukyanenko, A Castellanos, J Parsons, M Chiarini Tremblay, VC Storey Information Systems Engineering in Responsible Information Systems: CAiSE …, 2019 | 53 | 2019 |
| Basic classes in conceptual modeling: theory and practical guidelines A Castellanos, MC Tremblay, R Lukyanenko, B Samuel Journal of the Association for Information Systems 21 (4), 3, 2020 | 36 | 2020 |
| Conceptual modeling: topics, themes, and technology trends VC Storey, R Lukyanenko, A Castellanos ACM Computing Surveys, 2023 | 29 | 2023 |
| Superimposition: augmenting machine learning outputs with conceptual models for explainable AI R Lukyanenko, A Castellanos, VC Storey, A Castillo, MC Tremblay, ... Advances in Conceptual Modeling: ER 2020 Workshops CMAI, CMLS, CMOMM4FAIR …, 2020 | 28 | 2020 |
| Corporate social responsibility reports: Understanding topics via text mining A Castellanos, C Parra, M Tremblay | 18 | 2015 |
| Conceptual modeling research: revisiting and updating Wand and Weber’s 2002 Research Agenda M Jabbari, R Lukyanenko, J Recker, B Samuel, A Castellanos AIS SIGSAND, 1-12, 2018 | 17 | 2018 |
| Digitalization of land records: from paper to blockchain A Castellanos, R Benbunan-Fich Thirty Ninth International Conference on Information Systems, At San Francisco, 2018 | 15 | 2018 |
| ExUP recommendations: Inferring user's product metadata preferences from single-criterion rating systems A Castillo, D Vander Meer, A Castellanos Decision Support Systems 108, 69-78, 2018 | 12 | 2018 |
| Research Agenda for Basic Explainable AI. R Lukyanenko, A Castellanos, BM Samuel, MC Tremblay, W Maass AMCIS, 2021 | 11 | 2021 |
| Understanding benefits and limitations of unstructured data collection for repurposing organizational data A Castellanos, A Castillo, R Lukyanenko, MC Tremblay Information Systems: Research, Development, Applications, Education: 10th …, 2017 | 10 | 2017 |
| Improving case management via statistical text mining in a foster care organization A Castillo, A Castellanos, MC Tremblay Advancing the Impact of Design Science: Moving from Theory to Practice: 9th …, 2014 | 10 | 2014 |
| Analyzing corporate social responsibility reports using unsupervised and supervised text data mining MC Tremblay, C Parra, A Castellanos New Horizons in Design Science: Broadening the Research Agenda: 10th …, 2015 | 7 | 2015 |
| Improving Machine Learning Performance Using Conceptual Modeling. A Castellanos, A Castillo, MC Tremblay, R Lukyanenko, J Parsons, ... AAAI spring symposium: Combining machine learning with knowledge engineering, 2021 | 6 | 2021 |
| Exploratory content analysis using text data mining CM Parra, MC Tremblay, K Paul, A Castellanos The Journal of Corporate Citizenship, 106-151, 2017 | 6 | 2017 |
| AI explainability: Embedding conceptual models W Maass, A Castellanos, M Tremblay, R Lukyanenko, VC Storey | 5 | 2022 |
| Multi-paradigmatic theorizing: Mixing design and exploration A Amrollahi, R Lukyanenko, A Castellanos 23rd Americas Conference on Information Systems (AMCIS 2017): A tradition of …, 2017 | 5 | 2017 |
| Conceptual modeling in open information environments A Castellanos, R Lukyanenko, BM Samuel, MC Tremblay AIS SIGSAND Symposium, 1-7, 2016 | 5 | 2016 |
| ConceptSuperimposition: Using Conceptual Modeling Method for Explainable AI. W Maass, A Castellanos, MC Tremblay, R Lukyanenko, VC Storey AAAI spring symposium: MAKE, 1-6, 2022 | 4 | 2022 |
