Tina Seabrooke
- Applied Psychology top 10%
- Cognitive Neuroscience top 10%
- Neural and Behavioral Psychology Studies 8
- Memory Processes and Influences 6
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- Decision-Making and Behavioral Economics 3
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- Psychological and Educational Research Studies 3
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- Child and Animal Learning Development 3
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- Misinformation and Its Impacts 3
- Social and Intergroup Psychology 2
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- Artificial Intelligence in Law 3
- Co-authors
- Chris J. MitchellLee HogarthMike E. Le PelleyAndy J. WillsLorna HardyPhilip A. HighamDaniel PearsonBriana L. Kennedy
- Journals
- Journal of Experimental Psychology General (1 paper)Psychopharmacology (1 paper)Journal of Memory and Language (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Tina Seabrooke
24 papers receiving 288 citations
Peers
Comparison fields: 5 of 48
- Applied Psychology 71
- Cognitive Neuroscience 169
- General Decision Sciences 15
- Experimental and Cognitive Psychology 92
- Developmental and Educational Psychology 45
Countries citing papers authored by Tina Seabrooke
This map shows the geographic impact of Tina Seabrooke'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 Tina Seabrooke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Seabrooke more than expected).
Fields of papers citing papers by Tina Seabrooke
This network shows the impact of papers produced by Tina Seabrooke. 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 Tina Seabrooke. The network helps show where Tina Seabrooke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tina Seabrooke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 17 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 31 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 6 | |
| 18 | 2018 | 27 | |
| 19 | 2017 | 31 | |
| 20 | 2017 | 40 |
About Tina Seabrooke
Tina Seabrooke is a scholar working on General Decision Sciences, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 26 papers that have together received 289 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (8 papers), Memory Processes and Influences (6 papers), Psychological and Educational Research Studies (3 papers), Misinformation and Its Impacts (3 papers), Decision-Making and Behavioral Economics (3 papers), Artificial Intelligence in Law (3 papers), Child and Animal Learning Development (3 papers) and Social and Intergroup Psychology (2 papers). The work is most often cited by research in Applied Psychology (71 citations), Cognitive Neuroscience (169 citations) and General Decision Sciences (15 citations). Tina Seabrooke has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Chris J. Mitchell, Lee Hogarth, Mike E. Le Pelley, Andy J. Wills, Lorna Hardy, Philip A. Higham, Daniel Pearson, Briana L. Kennedy, Steven B. Most and Gabrielle Weidemann. Their work appears in journals such as Journal of Experimental Psychology General, Psychopharmacology and Journal of Memory and Language.
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.