Liam Satchell

33 papers receiving 1.4k citations

Liam Satchell's Hit Papers

Functional Fear Predicts Public Health Compliance in the COVID-19 Pandemic 2020 · 1.0k citations
1.0k0+2+4Years since publication2505007501000

Peers

Liam Satchell
Comparison fields: 5 of 126
  • Applied Psychology 163
  • Clinical Psychology 678
  • Modeling and Simulation 100
  • Experimental and Cognitive Psychology 181
  • Health 101
Replace Dean Fido with:
Dean Fido United Kingdom
Shweta Singh India
Manuel Muñoz Spain
Friedrich M. Götz United Kingdom
Claudia Sassenrath Germany
Irene Ceccato Italy
Jenny M. Groarke Ireland
Yimeng Mao China
Liam Satchell relative to Dean Fido United Kingdom Dean Fido's profile →
Citations per field
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Dean Fido · 1×
Citations per year

Countries citing papers authored by Liam Satchell

Since Specialization
Citations

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

Fields of papers citing papers by Liam Satchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Liam Satchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liam Satchell Line = papers co-authored together Liam Satchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Functional Fear Predicts Public Health Compliance in the COVID-19 Pandemic
Hit paper breakdown →
20201046
2 202349
3 201848
4 201634
5 201825
6 202023
7 201723
8 202122
9 201722
10 202121
11 201917
12 202314
13 201913
14 202112
15 202112
16 202110
17 20209
18 20208
19 20175
20 20235

About Liam Satchell

Liam Satchell is a scholar working on Sociology and Political Science, Social Psychology, Clinical Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Psychopathy, Forensic Psychiatry, Sexual Offending (7 papers), Evolutionary Psychology and Human Behavior (6 papers), Deception detection and forensic psychology (6 papers), Psychology of Moral and Emotional Judgment (6 papers), Personality Traits and Psychology (4 papers), Bullying, Victimization, and Aggression (4 papers), Crime Patterns and Interventions (4 papers) and Behavioral Health and Interventions (3 papers). The work is most often cited by research in Applied Psychology (163 citations), Clinical Psychology (678 citations), Modeling and Simulation (100 citations), Experimental and Cognitive Psychology (181 citations) and Health (101 citations). Liam Satchell has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Robert D. Latzman, Craig A. Harper, Dean Fido, Philip J. Corr, Patrizia Piotti, Alison M. Bacon, Andrew Knight, Lucy Akehurst, Paul Morris and Roger A. Moore. Their work appears in journals such as Personality and Individual Differences, Applied Cognitive Psychology, Journal of Research in Personality, Psychiatry Psychology and Law and Behavior Research Methods.

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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