| 2024 | CaiSE | Agile Development: The Promise, the Reality, the Opportunity. | Jon W. Beard, Veda C. Storey, Binny M. Samuel, Roman Lukyanenko, Anna Wiedemann, David Schuff, Shawn Ogunseye, Zohra Islamzada, Fereshta Islamzada |
| 2024 | ER | The Ontology of Fields as a Foundation for Conceptual Modeling. | Arturo Castellanos, Jon W. Beard, Binny M. Samuel, Keng Siau, Carson Woo, Veda C. Storey, Roman Lukyanenko, Roger H. L. Chiang, Debra E. VanderMeer |
| 2024 | ICIS | Integrating LLMs and Psychometrics: Global Construct Validity. | Kai R. Larsen, Sen Yan, Roman Lukyanenko |
| 2023 | ER | Inclusive conceptual modeling: Diversity, equity, involvement, and belonging in conceptual modeling (short paper). | Roman Lukyanenko, Dominik Bork, Veda C. Storey, Jeffrey Parsons, Oscar Pastor |
| 2023 | ER | Datish: A universal conceptual modeling language to model anything by anyone. | Roman Lukyanenko, Binny M. Samuel, Jeffrey Parsons, Veda C. Storey, Oscar Pastor |
| 2022 | ER | Conceptual Modeling Systems: A Vision for the Future of Conceptual Modeling. | Roman Lukyanenko, Binny M. Samuel, Veda Storey, Arnon Sturm |
| 2022 | ICIS | AI Explainability: Embedding Conceptual Models. | Wolfgang Maass, Arturo Castellanos, Monica C. Tremblay, Roman Lukyanenko, Veda C. Storey |
| 2021 | CaiSE | From Mental Models to Machine Learning Models via Conceptual Models. | Wolfgang Maass, Veda C. Storey, Roman Lukyanenko |
| 2021 | ER | The Notion of "System" as a Core Conceptual Modeling Construct for Life Sciences. | Roman Lukyanenko, Veda C. Storey, Oscar Pastor |
| 2020 | CaiSE | A Journey to BSO: Evaluating Earlier and More Recent Ideas of Mario Bunge as a Foundation for Information Systems and Software Development. | Roman Lukyanenko |
| 2020 | ER | Modeling Observational Crowdsourcing. | Arturo Castellanos, Roman Lukyanenko, Veda C. Storey |
| 2020 | ER | Superimposition: Augmenting Machine Learning Outputs with Conceptual Models for Explainable AI. | Roman Lukyanenko, Arturo Castellanos, Veda C. Storey, Alfred Castillo, Monica Chiarini Tremblay, Jeffrey Parsons |
| 2020 | ER | Introducing GSO: A General Systemist Ontology. | Roman Lukyanenko, Veda Storey, Arturo Castellanos |
| 2020 | ICIS | To Train or Not to Train? How Training Affects the Diversity of Crowdsourced Data. | Shawn Ogunseye, Jeffrey Parsons, Roman Lukyanenko |
| 2019 | CaiSE | Using Conceptual Modeling to Support Machine Learning. | Roman Lukyanenko, Arturo Castellanos, Jeffrey Parsons, Monica Chiarini Tremblay, Veda C. Storey |
| 2019 | ER | Toward Creating a General Ontology for Research Validity. | Roman Lukyanenko, Kai R. Larsen, Jeffrey Parsons, David Gefen, Roland M. Mller |
| 2018 | ER | Artifact Sampling in Experimental Conceptual Modeling Research. | Roman Lukyanenko, Jeffrey Parsons, Binny M. Samuel |
| 2018 | ICIS | Rethinking the role of conceptual modeling in the introductory IS curriculum. | Roman Lukyanenko |
| 2015 | ER | Principles for Modeling User-Generated Content. | Roman Lukyanenko, Jeffrey Parsons |
| 2014 | ICIS | The Impact of Conceptual Modeling on Dataset Completeness: A Field Experiment. | Roman Lukyanenko, Jeffrey Parsons, Yolanda F. Wiersma |
| 2013 | ER | Is Traditional Conceptual Modeling Becoming Obsolete? | Roman Lukyanenko, Jeffrey Parsons |
| 2013 | ER | Lightweight Conceptual Modeling for Crowdsourcing. | Roman Lukyanenko, Jeffrey Parsons |
| 2011 | ER | Unintended Consequences of Class-Based Ontological Commitment. | Roman Lukyanenko, Jeffrey Parsons |
| 2011 | ICIS | Designing recommendation agents as extensions of individual users: similarity and identification in web personalization. | Roman Lukyanenko, Sherrie Y. X. Komiak |