| 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 | 126 | 2018 |
| Self-organization and social science D Anzola, P Barbrook-Johnson, JI Cano Computational and Mathematical Organization Theory 23 (2), 221-257, 2017 | 47 | 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 | 42 | 2019 |
| 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 | 17 | 2015 |
| How do policy evaluators understand complexity? P Barbrook-Johnson, A Proctor, S Giorgi, J Phillipson Evaluation 26 (3), 315-332, 2020 | 14 | 2020 |
| 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 | 13 | 2019 |
| Uses of Agent-Based Modeling for Health Communication: the TELL ME Case Study P Barbrook-Johnson, J Badham, N Gilbert Health Communication, 2016 | 12 | 2016 |
| Participatory systems mapping for complex energy policy evaluation P Barbrook-Johnson, A Penn Evaluation 27 (1), 57-79, 2021 | 11 | 2021 |
| Agent-based models as “interested amateurs” PG Johnson Land 4 (2), 281-299, 2015 | 11 | 2015 |
| 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 | 9 | 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 | 7 | 2021 |
| Participatory systems mapping: A practical guide AS Penn, P Barbrook-Johnson CECAN toolkit, 2019 | 7 | 2019 |
| Sociology and Non-Equilibrium Social Science D Anzola, P Barbrook-Johnson, M Salgado, N Gilbert Non-Equilibrium Social Science and Policy, 59-69, 2017 | 7 | 2017 |
| Reflections On the Use of Complexity-Appropriate Computational Modeling for Public Policy Evaluation in the UK P Barbrook-Johnson, C Schimpf, B Castellani Journal on Policy and Complex Systems 5 (1), 55-70, 2019 | 6 | 2019 |
| Using the Telephone to Interview Professionals: Understanding the Use of Models in Environmental Policy PG Johnson SAGE Research Methods Cases, 2014 | 6 | 2014 |
| Negotiating complexity in evaluation planning: A participatory systems map of the energy trilemma P Barbrook-Johnson, A Penn CECAN Evaluation and Policy Practice Note (EPPN), 2019 | 5* | 2019 |
| A participatory systems map of the Energy Trilemma P Barbrook-Johnson, A Penn A CECAN report for the Department for Business, Energy and Industrial …, 2018 | 5 | 2018 |
| The SWAP model: Policy and theory applications for agent-based modelling of soil and water conservation adoption PG Johnson PQDT-UK & Ireland, 2015 | 5 | 2015 |
| 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), 8, 2021 | 4 | 2021 |
| Cased-based modelling and scenario simulation for ex-post evaluation C Schimpf, P Barbrook-Johnson, B Castellani Evaluation 27 (1), 116-137, 2021 | 2 | 2021 |
Nigel GilbertProfessor of Sociology, Univerisity of SurreyE-mail megerősítve itt: surrey.ac.uk
