Matt N Williams

2.1k total citations · 1 hit paper
55 papers, 785 citations indexed

About

Matt N Williams is a scholar working on Sociology and Political Science, Clinical Psychology and Social Psychology. According to data from OpenAlex, Matt N Williams has authored 55 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Sociology and Political Science, 12 papers in Clinical Psychology and 7 papers in Social Psychology. Recurrent topics in Matt N Williams's work include Misinformation and Its Impacts (11 papers), Mental Health Research Topics (6 papers) and Motivation and Self-Concept in Sports (4 papers). Matt N Williams is often cited by papers focused on Misinformation and Its Impacts (11 papers), Mental Health Research Topics (6 papers) and Motivation and Self-Concept in Sports (4 papers). Matt N Williams collaborates with scholars based in New Zealand, Australia and United Kingdom. Matt N Williams's co-authors include Dason Kurkiewicz, Stephen Hill, Aaron Drummond, James D. Sauer, Mathew D. Marques, Mathew Ling, John Spicer, Lauren C. Hall, John R. Kerr and Joanne Hudson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Climatic Change.

In The Last Decade

Matt N Williams

48 papers receiving 752 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assumptions of Multiple Regression: Correcting Two Misconceptions

2020 165 citations Matt N Williams et al. profile →

Peers

Matt N Williams

SPS

CP

SP

CN

DEP

Sarah Kelly Australia

Fridanna Maricchiolo Italy

Kathryn Gow Australia

Fabien Fenouillet France

Joan Newman United States

Anna Wnuk Poland

Kátia Correa Vione United Kingdom

Lukas J. Wolf United Kingdom

Alan E. Stewart United States

Elizabeth Hyde United States

Sarah Kelly Australia

Matt N Williams

527 ×1.8

SPS

108 ×0.5

CP

127 ×1.1

SP

98 ×1.1

CN

76 ×1.1

DEP

Citations per year, relative to Matt N Williams Matt N Williams (= 1×) peers Sarah Kelly

Countries citing papers authored by Matt N Williams

Since Specialization

Citations

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

Fields of papers citing papers by Matt N Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt N Williams. 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 Matt N Williams. The network helps show where Matt N Williams may publish in the future.

Co-authorship network of co-authors of Matt N Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Matt N Williams. A scholar is included among the top collaborators of Matt N Williams 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 Matt N Williams. Matt N Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Williams, Matt N, et al.. (2025). Do Stress, Depression, and Anxiety Lead to Beliefs in Conspiracy Theories?. Clinical Psychological Science.

2.

Philipp, Michael, et al.. (2025). Political Polarization and Wellbeing: Investigating Potential Intrapersonal Harm From Affective Polarization. International Review of Social Psychology. 38(1). 15–15.

3.

Williams, Matt N, et al.. (2025). Does Developing a Belief in One Conspiracy Theory Lead a Person to be More Likely to Believe in Others?. European Journal of Social Psychology. 55(4). 554–564. 2 indexed citations

4.

Philipp, Michael, et al.. (2024). Development and Validation of the Affective Polarization Scale. SHILAP Revista de lepidopterología. 37(1). 11–11. 2 indexed citations

5.

Liu, James H., et al.. (2024). A cross‐cultural test of competing hypotheses about system justification using data from 42 nations. Political Psychology. 46(4). 822–846. 3 indexed citations

6.

Theadom, Alice, et al.. (2023). Network analysis applied to post-concussion symptoms in two mild traumatic brain injury samples. Frontiers in Neurology. 14. 1226367–1226367. 4 indexed citations

7.

Sauer, James D., et al.. (2023). The potential relationship between loot box spending, problem gambling, and obsessive-compulsive gamers. Journal of Behavioral Addictions. 12(3). 733–743. 4 indexed citations

8.

Pedersen, Mangor, et al.. (2023). Behavioral Posology: A Novel Paradigm for Modeling the Healthy Limits of Behaviors. Advanced Theory and Simulations. 6(9). 1 indexed citations

9.

Donkin, Liesje, et al.. (2022). mHealth Technologies for Managing Problematic Pornography Use: Content Analysis. JMIR Formative Research. 6(10). e39869–e39869. 4 indexed citations

10.

Marques, Mathew D., Stephen Hill, Matt N Williams, et al.. (2022). Democracy and belief in conspiracy theories in New Zealand. Australian Journal of Political Science. 57(3). 264–279. 11 indexed citations

11.

Beaudry, Jennifer L, Matt N Williams, Michael Philipp, & Emily Kothe. (2022). What do Incoming University Students Believe About Open Science Practices in Psychology?. Teaching of Psychology. 51(3). 269–276. 1 indexed citations

12.

Williams, Matt N, Mathew D. Marques, Stephen Hill, John R. Kerr, & Mathew Ling. (2022). Why are beliefs in different conspiracy theories positively correlated across individuals? Testing monological network versus unidimensional factor model explanations. British Journal of Social Psychology. 61(3). 1011–1031. 34 indexed citations

13.

Williams, Matt N. (2021). Levels of measurement and statistical analyses. Massey Research Online (Massey University). 5. 3 indexed citations

14.

Drummond, Aaron, et al.. (2021). Meta-analysis of the relationship between problem gambling, excessive gaming and loot box spending. International Gambling Studies. 21(3). 460–479. 85 indexed citations

15.

Marques, Mathew D., John R. Kerr, Matt N Williams, Mathew Ling, & Jim McLennan. (2021). Associations between conspiracism and the rejection of scientific innovations. Public Understanding of Science. 30(7). 854–867. 19 indexed citations

16.

Williams, Matt N, et al.. (2020). Suicide Risk and Protective Factors: A Network Approach. Archives of Suicide Research. 26(1). 137–154. 49 indexed citations

17.

Williams, Matt N & Casper J. Albers. (2019). Dealing with Distributional Assumptions in Preregistered Research. Massey Research Online (Massey University). 3. 7 indexed citations

18.

Williams, Matt N, Rasmus Bååth, & Michael Philipp. (2017). Using Bayes Factors to Test Hypotheses in Developmental Research. Research in Human Development. 14(4). 321–337. 12 indexed citations

19.

Veale, Jaimie F. & Matt N Williams. (2015). The Psychometric Properties of a Brief Version of the Systemizing Quotient. European Journal of Psychological Assessment. 33(3). 173–180. 4 indexed citations

20.

Williams, Matt N, Stephen Hill, & John Spicer. (2015). Will climate change increase or decrease suicide rates? The differing effects of geographical, seasonal, and irregular variation in temperature on suicide incidence. Climatic Change. 130(4). 519–528. 17 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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