Pete Barbrook-Johnson

1.1k total citations
32 papers, 566 citations indexed

About

Pete Barbrook-Johnson is a scholar working on Management Science and Operations Research, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Pete Barbrook-Johnson has authored 32 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 6 papers in General Health Professions and 6 papers in Sociology and Political Science. Recurrent topics in Pete Barbrook-Johnson's work include Complex Systems and Decision Making (11 papers), Evaluation and Performance Assessment (7 papers) and Community Health and Development (4 papers). Pete Barbrook-Johnson is often cited by papers focused on Complex Systems and Decision Making (11 papers), Evaluation and Performance Assessment (7 papers) and Community Health and Development (4 papers). Pete Barbrook-Johnson collaborates with scholars based in United Kingdom, United States and Germany. Pete Barbrook-Johnson's co-authors include Alexandra S. Penn, Nigel Gilbert, Helen Wilkinson, Petra Ahrweiler, Brian Castellani, Jennifer Badham, Xavier Font, Corey Schimpf, Maja Schlüter‬ and Davide Natalini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Energy and Annals of Tourism Research.

In The Last Decade

Pete Barbrook-Johnson

27 papers receiving 547 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pete Barbrook-Johnson United Kingdom 13 178 105 97 93 58 32 566
Anthony Hodgson United Kingdom 10 159 0.9× 165 1.6× 45 0.5× 162 1.7× 37 0.6× 20 578
Robert Tobias Switzerland 18 67 0.4× 63 0.6× 64 0.7× 180 1.9× 61 1.1× 62 976
Alexandra S. Penn United Kingdom 13 109 0.6× 44 0.4× 55 0.6× 115 1.2× 28 0.5× 35 525
Helen Fischer Germany 13 65 0.4× 75 0.7× 51 0.5× 285 3.1× 95 1.6× 34 799
Matteo Mazziotta Italy 13 107 0.6× 94 0.9× 46 0.5× 253 2.7× 306 5.3× 30 844
Nikos Tzavidis United Kingdom 21 278 1.6× 94 0.9× 70 0.7× 288 3.1× 394 6.8× 66 1.2k
Derek Cabrera United States 11 353 2.0× 26 0.2× 208 2.1× 82 0.9× 50 0.9× 42 842
Martin Reynolds United Kingdom 13 358 2.0× 120 1.1× 145 1.5× 120 1.3× 82 1.4× 52 953
Rajendra Singh United States 12 64 0.4× 146 1.4× 50 0.5× 53 0.6× 48 0.8× 23 598
Annabel Ahuriri‐Driscoll New Zealand 11 142 0.8× 28 0.3× 147 1.5× 105 1.1× 18 0.3× 44 453

Countries citing papers authored by Pete Barbrook-Johnson

Since Specialization
Citations

This map shows the geographic impact of Pete Barbrook-Johnson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pete Barbrook-Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pete Barbrook-Johnson more than expected).

Fields of papers citing papers by Pete Barbrook-Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pete Barbrook-Johnson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pete Barbrook-Johnson. The network helps show where Pete Barbrook-Johnson may publish in the future.

Co-authorship network of co-authors of Pete Barbrook-Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Pete Barbrook-Johnson. A scholar is included among the top collaborators of Pete Barbrook-Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pete Barbrook-Johnson. Pete Barbrook-Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hepburn, Cameron, Matthew C. Ives, Penny Mealy, et al.. (2025). Economic models and frameworks to guide climate policy. Oxford Review of Economic Policy. 41(2). 616–652.
2.
Barbrook-Johnson, Pete, et al.. (2025). Evaluating social perceptions and diffusion networks of green travel: A case of China with Weibo. Transport Policy. 169. 9–25. 2 indexed citations
3.
Castellani, Brian, et al.. (2025). Case-based systems mapping: advancing a multimethod approach to social complexity. International Journal of Social Research Methodology. 1–21.
4.
Barbrook-Johnson, Pete, et al.. (2024). Combining realist evaluation and appreciative inquiry: A participatory, learning-focused methodology for tourism interventions. SHILAP Revista de lepidopterología. 5(2). 100152–100152.
5.
Pasqualino, Roberto, Cristina Peñasco, Pete Barbrook-Johnson, et al.. (2024). Modelling induced innovation for the low-carbon energy transition: a menu of options. Environmental Research Letters. 19(7). 73004–73004.
6.
Barbrook-Johnson, Pete, et al.. (2024). Cross-scale feedbacks and tipping points in aggregated models of socio-ecological systems. Socio-Environmental Systems Modeling. 6. 18616–18616. 2 indexed citations
7.
Barbrook-Johnson, Pete, Jean-François Mercure, Simon Sharpe, et al.. (2024). Economic modelling fit for the demands of energy decision makers. Nature Energy. 9(3). 229–231. 12 indexed citations
8.
Mealy, Penny, Pete Barbrook-Johnson, Matthew C. Ives, Sugandha Srivastav, & Cameron Hepburn. (2023). Sensitive intervention points: a strategic approach to climate action. Oxford Review of Economic Policy. 39(4). 694–710. 10 indexed citations
9.
Font, Xavier, et al.. (2023). Social learning communities of practice as mechanisms for sustainable tourism: a process tracing evaluation of a government intervention. Tourism Recreation Research. 50(3). 521–534. 1 indexed citations
10.
Barbrook-Johnson, Pete, Pablo Salas, Michel Ferreira Cardia Haddad, et al.. (2023). How are climate policies assessed in emerging economies? A study of ex-ante policy appraisal in Brazil, China, and India. Climate Policy. 24(9). 1242–1258. 4 indexed citations
11.
Reed, Mark S. & Pete Barbrook-Johnson. (2022). Complex systems methods for impact evaluation: lessons from the evaluation of an environmental boundary organisation. Mires and Peat. 28. 34–34.
12.
Hall, Matt, Pete Barbrook-Johnson, Sait Bayrakdar, & Andrew King. (2022). Queer(y)ing Agent-Based Modeling for Use in LGBTQ Studies: An Example from Workplace Inequalities. Journal of Homosexuality. 71(1). 120–146. 2 indexed citations
13.
Castellani, Brian, Suzanne Bartington, Jonathan Wistow, et al.. (2022). Mitigating the impact of air pollution on dementia and brain health: Setting the policy agenda. Environmental Research. 215(Pt 2). 114362–114362. 21 indexed citations
14.
Barbrook-Johnson, Pete & Alexandra S. Penn. (2021). Participatory systems mapping for complex energy policy evaluation. Evaluation. 27(1). 57–79. 48 indexed citations
15.
Wilkinson, Helen, et al.. (2021). Building a system-based Theory of Change using Participatory Systems Mapping. Evaluation. 27(1). 80–101. 33 indexed citations
16.
Barbrook-Johnson, Pete, et al.. (2021). Combining complexity-framed research methods for social research. International Journal of Social Research Methodology. 25(6). 835–848. 11 indexed citations
17.
Schimpf, Corey, Pete Barbrook-Johnson, & Brian Castellani. (2021). Cased-based modelling and scenario simulation for ex-post evaluation. Evaluation. 27(1). 116–137. 2 indexed citations
18.
Cox, Jayne & Pete Barbrook-Johnson. (2020). How does the commissioning process hinder the uptake of complexity-appropriate evaluation?. Evaluation. 27(1). 32–56. 8 indexed citations
19.
20.
Barbrook-Johnson, Pete, Jennifer Badham, & Nigel Gilbert. (2016). Uses of Agent-Based Modeling for Health Communication: the TELL ME Case Study. Health Communication. 32(8). 939–944. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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