This map shows the geographic impact of Matthew Welsh'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 Matthew Welsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Welsh more than expected).
This network shows the impact of papers produced by Matthew Welsh. 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 Matthew Welsh. The network helps show where Matthew Welsh may publish in the future.
Co-authorship network of co-authors of Matthew Welsh
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Welsh.
A scholar is included among the top collaborators of Matthew Welsh 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 Matthew Welsh. Matthew Welsh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Welsh, Matthew. (2020). Overconfident in Hindsight: Memory, Hindsight Bias and Overconfidence.. Cognitive Science.
4.
Welsh, Matthew, et al.. (2019). Individual Differences, Expertise and Outcome Bias in Medical Decision Making.. Cognitive Science. 2140–2146.1 indexed citations
5.
Welsh, Matthew & Steve Begg. (2017). The Cognitive Reflection Test: familiarity and predictive power in professionals. Cognitive Science.2 indexed citations
6.
Welsh, Matthew, et al.. (2016). Predicting overprecision in range estimation. Cognitive Science.3 indexed citations
7.
Welsh, Matthew & Steve Begg. (2015). Reducing overconfidence in forecasting with repeated judgement elicitation.. Cognitive Science.1 indexed citations
8.
Welsh, Matthew, Nicholas R. Burns, & Paul Delfabbro. (2013). The Cognitive Reflection Test: how much more than Numerical Ability?. Cognitive Science. 35(35).33 indexed citations
9.
Welsh, Matthew. (2012). Expertise and the Wisdom of Crowds: Whose Judgments to Trust and When. Cognitive Science. 34(34).1 indexed citations
10.
Welsh, Matthew, et al.. (2011). Does anchoring cause overconfidence only in experts. Cognitive Science. 33(33).5 indexed citations
11.
Welsh, Matthew, Danielle Navarro, & Steve Begg. (2011). Number Preference, Precision and Implicit Confidence. Cognitive Science. 33(33).12 indexed citations
12.
Welsh, Matthew, Paul Delfabbro, Nicholas R. Burns, & Steve Begg. (2011). Individual differences in anchoring: numerical ability, education and experience. Cognitive Science. 33(33).1 indexed citations
Welsh, Matthew, Michael Lee, & Steve Begg. (2009). Repeated judgments in elicitation tasks: efficacy of the MOLE method. Proceedings of the Annual Meeting of the Cognitive Science Society. 31(31).2 indexed citations
16.
Welsh, Matthew, Michael Lee, & Steve Begg. (2008). More-or-less elicitation (MOLE): Testing a heuristic elicitation method. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 30(30).4 indexed citations
Welsh, Matthew & Danielle Navarro. (2007). Seeing is Believing: Priors, Trust, and Base Rate Neglect. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 29(29).1 indexed citations
19.
Welsh, Matthew, Steve Begg, & Reidar B. Bratvold. (2007). Efficacy of Bias Awareness in Debiasing Oil and Gas Judgments. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 29(29).4 indexed citations
20.
Lee, Michael, et al.. (2004). Decision-Making on the Full Information Secretary Problem. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 26(26).7 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.