| Tools and methods in participatory modeling: Selecting the right tool for the job A Voinov, K Jenni, S Gray, N Kolagani, PD Glynn, P Bommel, C Prell, ... Environmental Modelling & Software 109, 232-255, 2018 | 493 | 2018 |
| The nature and level of learner–learner interaction in a chemistry massive open online course (MOOC) AA Tawfik, TD Reeves, AE Stich, A Gill, C Hong, J McDade, VS Pillutla, ... Journal of Computing in Higher Education 29, 411-431, 2017 | 127 | 2017 |
| A fuzzy cognitive map of the psychosocial determinants of obesity PJ Giabbanelli, T Torsney-Weir, VK Mago Applied soft computing 12 (12), 3711-3724, 2012 | 121 | 2012 |
| Combining fuzzy cognitive maps with agent-based modeling: Frameworks and pitfalls of a powerful hybrid modeling approach to understand human-environment interactions PJ Giabbanelli, SA Gray, P Aminpour Environmental modelling & software 95, 320-325, 2017 | 115 | 2017 |
| Impact of different policies on unhealthy dietary behaviors in an urban adult population: an agent-based simulation model D Zhang, PJ Giabbanelli, OA Arah, FJ Zimmerman American journal of public health 104 (7), 1217-1222, 2014 | 109 | 2014 |
| Identifying the components and interrelationships of smart cities in Indonesia: Supporting policymaking via fuzzy cognitive systems HS Firmansyah, SH Supangkat, AA Arman, PJ Giabbanelli IEEE Access 7, 46136-46151, 2019 | 94 | 2019 |
| Twelve questions for the participatory modeling community R Jordan, S Gray, M Zellner, PD Glynn, A Voinov, B Hedelin, EJ Sterling, ... Earth's Future 6 (8), 1046-1057, 2018 | 84 | 2018 |
| A systematic review of biomarkers and risk of incident type 2 diabetes: an overview of epidemiological, prediction and aetiological research literature A Abbasi, AS Sahlqvist, L Lotta, JM Brosnan, P Vollenweider, ... PloS one 11 (10), e0163721, 2016 | 81 | 2016 |
| Returning to a normal life via COVID-19 vaccines in the United States: A large-scale agent-based simulation study J Li, P Giabbanelli JMIR medical informatics 9 (4), e27419, 2021 | 79 | 2021 |
| Modeling the influence of social networks and environment on energy balance and obesity PJ Giabbanelli, A Alimadad, V Dabbaghian, DT Finegood Journal of Computational Science 3 (1-2), 17-27, 2012 | 66 | 2012 |
| Should we simulate mental models to assess whether they agree? EA Lavin, PJ Giabbanelli, AT Stefanik, SA Gray, R Arlinghaus Proceedings of the annual simulation symposium, 1-12, 2018 | 59 | 2018 |
| What's left before participatory modeling can fully support real-world environmental planning processes: A case study review B Hedelin, S Gray, S Woehlke, TK BenDor, A Singer, R Jordan, M Zellner, ... Environmental Modelling & Software 143, 105073, 2021 | 54 | 2021 |
| Comparing How Different Inquiry-Based Approaches Impact Learning Outcomes. AA Tawfik, W Hung, PJ Giabbanelli Interdisciplinary Journal of Problem-based Learning 14 (1), n1, 2020 | 51 | 2020 |
| Effects of success v failure cases on learner-learner interaction AA Tawfik, PJ Giabbanelli, M Hogan, F Msilu, A Gill, CS York Computers & Education 118, 120-132, 2018 | 49 | 2018 |
| Creating groups with similar expected behavioural response in randomized controlled trials: a fuzzy cognitive map approach PJ Giabbanelli, R Crutzen BMC medical research methodology 14, 1-19, 2014 | 49 | 2014 |
| Assessing (social-ecological) systems thinking by evaluating cognitive maps S Gray, EJ Sterling, P Aminpour, L Goralnik, A Singer, C Wei, S Akabas, ... Sustainability 11 (20), 5753, 2019 | 47 | 2019 |
| Using agent‐based models to develop public policy about food behaviours: future directions and recommendations PJ Giabbanelli, R Crutzen Computational and mathematical methods in medicine 2017 (1), 5742629, 2017 | 45 | 2017 |
| An agent-based social network model of binge drinking among Dutch adults P Giabbanelli, R Crutzen Journal of Artificial Societies and Social Simulation 16 (2), 10, 2013 | 41 | 2013 |
| Modelling the spatial and social dynamics of insurgency PJ Giabbanelli Security Informatics 3, 1-15, 2014 | 37 | 2014 |
| Identifying small groups of foods that can predict achievement of key dietary recommendations: data mining of the UK National Diet and Nutrition Survey, 2008–12 PJ Giabbanelli, J Adams Public health nutrition 19 (9), 1543-1551, 2016 | 36 | 2016 |
Vijay MagoAssociate Professor, York UniversityAdresse e-mail validée de yorku.ca
