David L. Neumann
- Education top 0.5%
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 0.5%
- Social Psychology top 1%
- Developmental and Educational Psychology top 1%
- Co-authors
- Michelle M. NeumannDavid ReillyDavid ShumMichelle HoodGlenda AndrewsAllison M. WatersRobyn L. MoffittRaymond C. K. Chan
- Topics
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (34 papers)Sport Psychology and Performance (24 papers)Memory and Neural Mechanisms (21 papers)
- Cited by
- Behavioral NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Psychologist
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
David L. Neumann
193 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Education 1.4k
- Cognitive Neuroscience 1.4k
- Experimental and Cognitive Psychology 1.3k
- Social Psychology 1.1k
- Developmental and Educational Psychology 1.0k
Countries citing papers authored by David L. Neumann
This map shows the geographic impact of David L. Neumann'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 David L. Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Neumann more than expected).
Fields of papers citing papers by David L. Neumann
This network shows the impact of papers produced by David L. Neumann. 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 David L. Neumann. The network helps show where David L. Neumann may publish in the future.
Co-authorship network of co-authors of David L. Neumann
This figure shows the co-authorship network connecting the top 25 collaborators of David L. Neumann. A scholar is included among the top collaborators of David L. Neumann 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 David L. Neumann. David L. Neumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 28 | |
| 14 | 1 | |
| 15 | 36 | |
| 16 | 18 | |
| 17 | 26 | |
| 18 | 10 | |
| 19 | 73 | |
| 20 | 87 |
About David L. Neumann
David L. Neumann is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Behavioral Neuroscience, having authored 201 papers that have together received 6.0k indexed citations. Recurring topics across this work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (34 papers), Sport Psychology and Performance (24 papers) and Memory and Neural Mechanisms (21 papers). The work is most often cited by research in Behavioral Neuroscience (425 citations), Experimental and Cognitive Psychology (1.3k citations) and Developmental and Educational Psychology (1.0k citations). David L. Neumann has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Michelle M. Neumann, David Reilly, David Shum, Michelle Hood, Glenda Andrews, Allison M. Waters, Robyn L. Moffitt, Raymond C. K. Chan, Mark J. Boschen and Patrick R. Thomas. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Psychologist.
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.