Lauren A. Monds
- Cognitive Neuroscience top 10%
- Applied Psychology top 5%
- Social Psychology top 10%
- Clinical Psychology
- Epidemiology
- Co-authors
- Barbara MullanJemma ToddEmily KotheVanessa AllomKirby SainsburyHelen M. PatersonNicholas LintzerisRichard I. Kemp
- Topics
- Memory Processes and Influences (16 papers)Substance Abuse Treatment and Outcomes (12 papers)Deception detection and forensic psychology (10 papers)
- Journals
- Proceedings of the National Academy of SciencesNeuroscience & Biobehavioral ReviewsPsychopharmacology
- Partner nations
- AustraliaNetherlandsBelgium
In The Last Decade
Lauren A. Monds
41 papers receiving 678 citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 147
- Applied Psychology 128
- Social Psychology 112
- Clinical Psychology 108
- Epidemiology 106
Countries citing papers authored by Lauren A. Monds
This map shows the geographic impact of Lauren A. Monds'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 Lauren A. Monds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren A. Monds more than expected).
Fields of papers citing papers by Lauren A. Monds
This network shows the impact of papers produced by Lauren A. Monds. 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 Lauren A. Monds. The network helps show where Lauren A. Monds may publish in the future.
Co-authorship network of co-authors of Lauren A. Monds
This figure shows the co-authorship network connecting the top 25 collaborators of Lauren A. Monds. A scholar is included among the top collaborators of Lauren A. Monds 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 Lauren A. Monds. Lauren A. Monds is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 7 | |
| 12 | 25 | |
| 13 | Cannabis Increases Susceptibility to False Memory | 0 |
| 14 | 10 | |
| 15 | 23 | |
| 16 | 11 | |
| 17 | 13 | |
| 18 | 26 | |
| 19 | 22 | |
| 20 | 38 |
About Lauren A. Monds
Lauren A. Monds is a scholar working on Applied Psychology, Cognitive Neuroscience and Neuropsychology and Physiological Psychology, having authored 49 papers that have together received 688 indexed citations. Recurring topics across this work include Memory Processes and Influences (16 papers), Substance Abuse Treatment and Outcomes (12 papers) and Deception detection and forensic psychology (10 papers). The work is most often cited by research in Applied Psychology (128 citations), Cognitive Neuroscience (147 citations) and Social Psychology (112 citations). Lauren A. Monds has collaborated with scholars based in Australia, Netherlands and Belgium. Frequent co-authors include Barbara Mullan, Jemma Todd, Emily Kothe, Vanessa Allom, Kirby Sainsbury, Helen M. Paterson, Nicholas Lintzeris, Richard I. Kemp, Henry Otgaar and Mark Montebello. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuroscience & Biobehavioral Reviews and Psychopharmacology.
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.