| Computational modelling of public policy: Reflections on practice N Gilbert, P Ahrweiler, P Barbrook-Johnson, KP Narasimhan, H Wilkinson Journal of Artificial Societies and Social Simulation 21 (1), 2018 | 221 | 2018 |
| Systems Mapping: How to build and use causal models of systems P Barbrook-Johnson, AS Penn Springer Nature, 2022 | 163* | 2022 |
| Self-organization and social science D Anzola, P Barbrook-Johnson, JI Cano Computational and Mathematical Organization Theory 23, 221-257, 2017 | 87 | 2017 |
| Using agent-based modelling to simulate social-ecological systems across scales M Lippe, M Bithell, N Gotts, D Natalini, P Barbrook-Johnson, C Giupponi, ... GeoInformatica 23 (2), 269-298, 2019 | 86 | 2019 |
| Participatory systems mapping for complex energy policy evaluation P Barbrook-Johnson, A Penn Evaluation 27 (1), 57-79, 2021 | 66 | 2021 |
| Building a system-based theory of change using participatory systems mapping H Wilkinson, D Hills, A Penn, P Barbrook-Johnson Evaluation 27 (1), 80-101, 2021 | 54 | 2021 |
| Participatory complexity in tourism policy: Understanding sustainability programmes with participatory systems mapping JS Wu, P Barbrook-Johnson, X Font Annals of Tourism Research 90, 103269, 2021 | 37 | 2021 |
| How do policy evaluators understand complexity? P Barbrook-Johnson, A Proctor, S Giorgi, J Phillipson Evaluation 26 (3), 315-332, 2020 | 35 | 2020 |
| Justified stories with agent-based modelling for local COVID-19 planning J Badham, P Barbrook-Johnson, C Caiado, B Castellani Journal of Artificial Societies and Social Simulation 24 (1), 2021 | 34 | 2021 |
| Policy evaluation for a complex world: Practical methods and reflections from the UK Centre for the Evaluation of Complexity across the Nexus P Barbrook-Johnson, B Castellani, D Hills, A Penn, N Gilbert Evaluation 27 (1), 4-17, 2021 | 33 | 2021 |
| Self-Organizing Dynamical Systems N Gilbert, D Anzola, P Johnson, C Elsenbroich, T Balke, O Dilaver International Encyclopedia of the Social & Behavioral Sciences (Second …, 2015 | 27 | 2015 |
| The visual representation of complexity: Definitions, examples & learning points (poster) J Boehnert, AS Penn, P Barbrook-Johnson, M Bicket, D Hills Loughborough University, available at URL: https://hdl. handle. net/2134 …, 2018 | 26* | 2018 |
| Uses of Agent-Based Modeling for Health Communication: the TELL ME Case Study P Barbrook-Johnson, J Badham, N Gilbert Health Communication, 2016 | 26 | 2016 |
| Combining complexity-framed research methods for social research P Barbrook-Johnson, J Carrick International Journal of Social Research Methodology 25 (6), 835-848, 2022 | 24 | 2022 |
| Mitigating the impact of air pollution on dementia and brain health: Setting the policy agenda B Castellani, S Bartington, J Wistow, N Heckels, A Ellison, ... Environmental Research 215, 114362, 2022 | 22 | 2022 |
| The new economics of innovation and transition: evaluating opportunities and risks M Grubb, P Drummond, JF Mercure, C Hepburn EEIST: Economics of Energy Innovation and System Transition, 2021 | 22 | 2021 |
| Case-based methods and agent-based modelling: bridging the divide to leverage their combined strengths B Castellani, P Barbrook-Johnson, C Schimpf International Journal of Social Research Methodology, 2019 | 21 | 2019 |
| Agent-based models as “interested amateurs” PG Johnson Land 4 (2), 281-299, 2015 | 20 | 2015 |
| Participatory systems mapping: A practical guide AS Penn, P Barbrook-Johnson CECAN toolkit, 2019 | 17 | 2019 |
| How does the commissioning process hinder the uptake of complexity-appropriate evaluation? J Cox, P Barbrook-Johnson Evaluation 27 (1), 32-56, 2021 | 13 | 2021 |
Nigel GilbertProfessor of Sociology, Univerisity of SurreyVerified email at surrey.ac.uk
