Bonnie C. Wintle

2.6k total citations
23 papers, 981 citations indexed

About

Bonnie C. Wintle is a scholar working on Sociology and Political Science, Ecological Modeling and General Decision Sciences. According to data from OpenAlex, Bonnie C. Wintle has authored 23 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 7 papers in Ecological Modeling and 7 papers in General Decision Sciences. Recurrent topics in Bonnie C. Wintle's work include Decision-Making and Behavioral Economics (7 papers), Species Distribution and Climate Change (7 papers) and Forecasting Techniques and Applications (6 papers). Bonnie C. Wintle is often cited by papers focused on Decision-Making and Behavioral Economics (7 papers), Species Distribution and Climate Change (7 papers) and Forecasting Techniques and Applications (6 papers). Bonnie C. Wintle collaborates with scholars based in Australia, United States and United Kingdom. Bonnie C. Wintle's co-authors include Mark A. Burgman, Marissa F. McBride, Anca M. Hanea, Fiona Fidler, Victoria Hemming, Charles Twardy, Louisa Flander, Libby Rumpff, Ann E. Nicholson and Yung En Chee and has published in prestigious journals such as PLoS ONE, Trends in Ecology & Evolution and Journal of Business Research.

In The Last Decade

Bonnie C. Wintle

23 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bonnie C. Wintle Australia 14 277 234 191 163 133 23 981
Nicola Randall United Kingdom 16 269 1.0× 204 0.9× 106 0.6× 162 1.0× 122 0.9× 43 1.2k
Matthew Grainger Norway 19 180 0.6× 327 1.4× 172 0.9× 129 0.8× 98 0.7× 62 1.2k
Mitchell J. Eaton United States 16 278 1.0× 366 1.6× 183 1.0× 239 1.5× 59 0.4× 47 1.0k
G. Long United States 9 530 1.9× 400 1.7× 219 1.1× 264 1.6× 155 1.2× 12 1.3k
Alice S. A. Johnston United Kingdom 14 351 1.3× 385 1.6× 186 1.0× 246 1.5× 87 0.7× 21 1.4k
Timothy R. Johnson United States 25 172 0.6× 599 2.6× 143 0.7× 250 1.5× 114 0.9× 86 2.0k
Libby Rumpff Australia 16 436 1.6× 504 2.2× 390 2.0× 425 2.6× 47 0.4× 47 1.2k
Christian E. Vincenot Japan 15 239 0.9× 304 1.3× 146 0.8× 154 0.9× 82 0.6× 29 1.2k
Victoria Hemming Canada 9 152 0.5× 120 0.5× 91 0.5× 94 0.6× 50 0.4× 19 465
Samu Mäntyniemi Finland 21 696 2.5× 498 2.1× 99 0.5× 531 3.3× 52 0.4× 56 1.6k

Countries citing papers authored by Bonnie C. Wintle

Since Specialization
Citations

This map shows the geographic impact of Bonnie C. Wintle'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 Bonnie C. Wintle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bonnie C. Wintle more than expected).

Fields of papers citing papers by Bonnie C. Wintle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bonnie C. Wintle. 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 Bonnie C. Wintle. The network helps show where Bonnie C. Wintle may publish in the future.

Co-authorship network of co-authors of Bonnie C. Wintle

This figure shows the co-authorship network connecting the top 25 collaborators of Bonnie C. Wintle. A scholar is included among the top collaborators of Bonnie C. Wintle 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 Bonnie C. Wintle. Bonnie C. Wintle 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.
Wintle, Bonnie C., David P. Wilkinson, Anca M. Hanea, et al.. (2023). Predicting and reasoning about replicability using structured groups. Royal Society Open Science. 10(6). 221553–221553. 2 indexed citations
2.
Burgman, Mark A., Rafael Morais Chiaravalloti, Fiona Fidler, et al.. (2022). A toolkit for open and pluralistic conservation science. Conservation Letters. 16(1). 3 indexed citations
3.
Hanea, Anca M., David P. Wilkinson, Marissa F. McBride, et al.. (2021). Mathematically aggregating experts’ predictions of possible futures. PLoS ONE. 16(9). e0256919–e0256919. 7 indexed citations
4.
Fraser, Hannah, David P. Wilkinson, Richard Sinnott, et al.. (2021). Eliciting group judgements about replicability: a technical implementation of the IDEA Protocol. Journal of the Association for Information Systems. 3 indexed citations
5.
Burgman, Mark A., Marissa F. McBride, Felix Singleton Thorn, et al.. (2019). Better Together: Reliable Application of the Post-9/11 and Post-Iraq US Intelligence Tradecraft Standards Requires Collective Analysis. Frontiers in Psychology. 9. 2634–2634. 7 indexed citations
6.
Wintle, Bonnie C., et al.. (2019). Verbal probabilities: Very likely to be somewhat more confusing than numbers. PLoS ONE. 14(4). e0213522–e0213522. 53 indexed citations
7.
Avin, Shahar, et al.. (2018). Classifying global catastrophic risks. Futures. 102. 20–26. 64 indexed citations
8.
Fidler, Fiona, Yung En Chee, Bonnie C. Wintle, et al.. (2016). Metaresearch for Evaluating Reproducibility in Ecology and Evolution. BioScience. 67(3). biw159–biw159. 56 indexed citations
9.
Hanea, Anca M., Marissa F. McBride, Mark A. Burgman, & Bonnie C. Wintle. (2016). Classical meets modern in the IDEA protocol for structured expert judgement. Journal of Risk Research. 21(4). 417–433. 35 indexed citations
10.
Hanea, Anca M., Marissa F. McBride, Mark A. Burgman, et al.. (2016). I nvestigate D iscuss E stimate A ggregate  for structured expert judgement. International Journal of Forecasting. 33(1). 267–279. 72 indexed citations
11.
Lyon, Aidan, Bonnie C. Wintle, & Mark A. Burgman. (2015). Collective wisdom: Methods of confidence interval aggregation. Journal of Business Research. 68(8). 1759–1767. 15 indexed citations
12.
Garrard, Georgia E., Fiona Fidler, Bonnie C. Wintle, Yung En Chee, & Sarah Bekessy. (2015). Beyond Advocacy: Making Space for Conservation Scientists in Public Debate. Conservation Letters. 9(3). 208–212. 22 indexed citations
13.
Cook, Carly N., et al.. (2014). Using Strategic Foresight to Assess Conservation Opportunity. Conservation Biology. 28(6). 1474–1483. 24 indexed citations
14.
Sutherland, William J., Mick N. Clout, Michael H. Depledge, et al.. (2014). A horizon scan of global conservation issues for 2015. Trends in Ecology & Evolution. 30(1). 17–24. 36 indexed citations
15.
Wintle, Bonnie C. & Ann E. Nicholson. (2014). Exploring Risk Judgments in a Trade Dispute Using Bayesian Networks. Risk Analysis. 34(6). 1095–1111. 6 indexed citations
16.
Wintle, Bonnie C., Fiona Fidler, Peter A. Vesk, & Joslin L. Moore. (2012). Improving visual estimation through active feedback. Methods in Ecology and Evolution. 4(1). 53–62. 32 indexed citations
17.
Wintle, Bonnie C., Steven Mascaro, Fiona Fidler, et al.. (2012). The intelligence game: assessing delphi groups and structured question formats. Australasian Journal of Paramedicine. 1–26. 7 indexed citations
18.
Burgman, Mark A., Marissa F. McBride, Louisa Flander, et al.. (2011). Expert Status and Performance. PLoS ONE. 6(7). e22998–e22998. 217 indexed citations
19.
Wintle, Bonnie C., et al.. (2011). Interpreting risk in international trade. Journal of Risk Research. 15(3). 293–312. 3 indexed citations
20.
Wintle, Bonnie C. & JB Kirkpatrick. (2007). The response of riparian vegetation to flood‐maintained habitat heterogeneity†. Austral Ecology. 32(5). 592–599. 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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