Lee Averell
Impact in
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
- Biological Psychiatry top 10%
Papers in
-
- Memory Processes and Influences 3
- Neural and Behavioral Psychology Studies 2
-
- Decision-Making and Behavioral Economics 2
- Co-authors
- Andrew Heathcote (5 shared papers)Chris Donkin (2 shared papers)Scott D. Brown (2 shared papers)Phillip W. Dickson (1 shared paper)Lin Kooi Ong (1 shared paper)Luba Sominsky (1 shared paper)Eugene Nalivaiko (2 shared papers)Deborah M. Hodgson (2 shared papers)
- Journals
- Behavior Research Methods (1 paper)Journal of Mathematical Psychology (1 paper)Journal of Experimental Psychology Learning Memory and Cognition (1 paper)Journal of Memory and Language (1 paper)PLoS ONE (1 paper)
- Partner nations
- AustraliaUnited Kingdom
In The Last Decade
Lee Averell
7 papers receiving 482 citations
Peers
Comparison fields: 5 of 87
- General Decision Sciences 97
- Biological Psychiatry 19
- Cognitive Neuroscience 219
- Behavioral Neuroscience 22
- Statistics and Probability 34
Countries citing papers authored by Lee Averell
This map shows the geographic impact of Lee Averell'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 Lee Averell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Averell more than expected).
Fields of papers citing papers by Lee Averell
This network shows the impact of papers produced by Lee Averell. 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 Lee Averell. The network helps show where Lee Averell may publish in the future.
Co-authors
The 10 scholars most cited alongside Lee Averell, 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 | 2010 | 185 | |
| 2 | 2014 | 163 | |
| 3 | 2013 | 83 | |
| 4 | 2009 | 69 | |
| 5 | 2016 | 7 | |
| 6 | Long term implicit and explicit memory for briefly studied words | 2009 | 2 |
| 7 | 2013 | 1 |
About Lee Averell
Lee Averell is a scholar working on Cognitive Neuroscience, General Decision Sciences, Behavioral Neuroscience, Endocrine and Autonomic Systems and Statistics and Probability, having authored 7 papers that have together received 510 indexed citations. Recurring topics across this work include Memory Processes and Influences (3 papers), Neural and Behavioral Psychology Studies (2 papers), Decision-Making and Behavioral Economics (2 papers), Statistical Methods and Bayesian Inference (1 paper), Stress Responses and Cortisol (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in General Decision Sciences (97 citations), Biological Psychiatry (19 citations), Cognitive Neuroscience (219 citations), Behavioral Neuroscience (22 citations) and Statistics and Probability (34 citations). Lee Averell has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Andrew Heathcote, Chris Donkin, Scott D. Brown, Phillip W. Dickson, Lin Kooi Ong, Luba Sominsky, Eugene Nalivaiko, Deborah M. Hodgson, Peter Robert Dunkley and Melissa Prince. Their work appears in journals such as Behavior Research Methods, Journal of Mathematical Psychology, Journal of Experimental Psychology Learning Memory and Cognition, Journal of Memory and Language and PLoS ONE.
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.