Matthew Haigh

1.7k total citations
29 papers, 334 citations indexed

About

Matthew Haigh is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Matthew Haigh has authored 29 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 8 papers in Developmental and Educational Psychology and 7 papers in Cognitive Neuroscience. Recurrent topics in Matthew Haigh's work include Language, Metaphor, and Cognition (9 papers), Language, Discourse, Communication Strategies (7 papers) and Child and Animal Learning Development (6 papers). Matthew Haigh is often cited by papers focused on Language, Metaphor, and Cognition (9 papers), Language, Discourse, Communication Strategies (7 papers) and Child and Animal Learning Development (6 papers). Matthew Haigh collaborates with scholars based in United Kingdom, France and Germany. Matthew Haigh's co-authors include Andrew Stewart, Navneet Kapur, Evan Kidd, Sarah Steeg, Jayne Cooper, Roger T. Webb, Helen Bergen, Keith Waters, Jennifer Ness and Keith Hawton and has published in prestigious journals such as PLoS ONE, Journal of Affective Disorders and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Matthew Haigh

27 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Haigh United Kingdom 9 126 95 75 72 57 29 334
Michelle M. Arnold Australia 10 49 0.4× 77 0.8× 59 0.8× 181 2.5× 14 0.2× 24 342
James J. Hennessy United States 13 152 1.2× 86 0.9× 59 0.8× 18 0.3× 7 0.1× 45 388
Eric Y. Drogin United States 11 142 1.1× 194 2.0× 44 0.6× 82 1.1× 7 0.1× 53 386
E. F. Haghish Germany 9 95 0.8× 40 0.4× 35 0.5× 16 0.2× 16 0.3× 24 251
Christina S. Soma United States 9 124 1.0× 138 1.5× 96 1.3× 26 0.4× 7 0.1× 20 366
Andrew M. Defever United States 8 183 1.5× 71 0.7× 31 0.4× 65 0.9× 23 0.4× 8 349
Kristine A. Peace Canada 11 243 1.9× 213 2.2× 50 0.7× 236 3.3× 5 0.1× 22 469
Sonya E. Pritzker United States 10 73 0.6× 71 0.7× 48 0.6× 14 0.2× 6 0.1× 32 294
Ethan Scherer United States 10 146 1.2× 44 0.5× 56 0.7× 66 0.9× 6 0.1× 28 380
Christopher R. Niileksela United States 11 59 0.5× 41 0.4× 138 1.8× 49 0.7× 31 359

Countries citing papers authored by Matthew Haigh

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Haigh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Haigh. 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 Haigh. The network helps show where Matthew Haigh may publish in the future.

Co-authorship network of co-authors of Matthew Haigh

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Haigh. A scholar is included among the top collaborators of Matthew Haigh 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 Haigh. Matthew Haigh 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.
Haigh, Matthew, et al.. (2023). Politeness and the communication of uncertainty when breaking bad news. Discourse Processes. 60(7). 479–501. 3 indexed citations
2.
Stewart, Andrew, et al.. (2021). Tracking the eye of the beholder: is explanation subjective?. Journal of Cognitive Psychology. 33(2). 199–206. 1 indexed citations
3.
Stewart, Suzanne, et al.. (2021). Valence of agents and recipients moderates the side-effect effect: two within-subjects, multi-item conceptual replications. Journal of Cognitive Psychology. 34(2). 289–306.
4.
5.
Stewart, Suzanne, et al.. (2018). Affective theory of mind inferences contextually influence the recognition of emotional facial expressions. Cognition & Emotion. 33(2). 272–287. 12 indexed citations
6.
Stewart, Andrew, et al.. (2017). ‘It’s hard to write a good article’: The online comprehension of excuses as indirect replies. Quarterly Journal of Experimental Psychology. 71(6). 1265–1269. 5 indexed citations
7.
Wray, H. Linton, et al.. (2016). Threats may be negative promises (but warnings are more than negative tips). Journal of Cognitive Psychology. 28(5). 593–600. 2 indexed citations
8.
Haigh, Matthew, et al.. (2016). Slippery slope arguments imply opposition to change. Memory & Cognition. 44(5). 819–836. 8 indexed citations
9.
Haigh, Matthew. (2016). Has the Standard Cognitive Reflection Test Become a Victim of Its Own Success?. Advances in Cognitive Psychology. 12(3). 145–149. 69 indexed citations
10.
Haigh, Matthew, et al.. (2016). “This Isn’t a Promise, It’s a Threat”. Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie). 63(2). 89–97. 1 indexed citations
11.
Steeg, Sarah, Matthew Haigh, Roger T. Webb, et al.. (2015). The exacerbating influence of hopelessness on other known risk factors for repeat self-harm and suicide. Journal of Affective Disorders. 190. 522–528. 34 indexed citations
12.
Haigh, Matthew & Jean‐François Bonnefon. (2015). Conditional sentences create a blind spot in theory of mind during narrative comprehension. Acta Psychologica. 160. 194–201. 2 indexed citations
13.
Stewart, Andrew, Matthew Haigh, & Heather J. Ferguson. (2013). Sensitivity to speaker control in the online comprehension of conditional tips and promises: An eye-tracking study.. Journal of Experimental Psychology Learning Memory and Cognition. 39(4). 1022–1036. 7 indexed citations
14.
Bonnefon, Jean‐François, Matthew Haigh, & Andrew Stewart. (2013). Utility templates for the interpretation of conditional statements. Journal of Memory and Language. 68(4). 350–361. 10 indexed citations
15.
Kapur, Navneet, Sarah Steeg, Roger T. Webb, et al.. (2013). Does Clinical Management Improve Outcomes following Self-Harm? Results from the Multicentre Study of Self-Harm in England. PLoS ONE. 8(8). e70434–e70434. 81 indexed citations
16.
Haigh, Matthew, Andrew Stewart, & Louise Connell. (2012). Reasoning as we read: Establishing the probability of causal conditionals. Memory & Cognition. 41(1). 152–158. 7 indexed citations
17.
Haigh, Matthew, et al.. (2011). Conditional advice and inducements: Are readers sensitive to implicit speech acts during comprehension?. Acta Psychologica. 136(3). 419–424. 13 indexed citations
18.
Haigh, Matthew & Andrew Stewart. (2011). The influence of clause order, congruency, and probability on the processing of conditionals. Thinking & Reasoning. 17(4). 402–423. 7 indexed citations
19.
Stewart, Andrew, Evan Kidd, & Matthew Haigh. (2009). Early Sensitivity to Discourse-Level Anomalies: Evidence From Self-Paced Reading. Discourse Processes. 46(1). 46–69. 9 indexed citations
20.
Stewart, Andrew, Matthew Haigh, & Evan Kidd. (2009). An investigation into the online processing of counterfactual and indicative conditionals. Quarterly Journal of Experimental Psychology. 62(11). 2113–2125. 32 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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