Gerald M. Reicher
- Cognitive Neuroscience top 2%
- Developmental and Educational Psychology top 2%
- Experimental and Cognitive Psychology top 2%
- Artificial Intelligence top 5%
- Social Psychology top 10%
- Co-authors
- Harold L. HawkinsJohn T. RichardsMiriam D. RogersDarryl BruceCharles N. CoferC. R. Snyder
- Topics
- Visual and Cognitive Learning Processes (3 papers)Advanced Text Analysis Techniques (3 papers)Visual perception and processing mechanisms (2 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Journals
- Journal of Experimental Psychology Human Perception & PerformancePerception & PsychophysicsJournal of Experimental Psychology
- Partner nations
- United States
In The Last Decade
Gerald M. Reicher
9 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 842
- Developmental and Educational Psychology 626
- Experimental and Cognitive Psychology 554
- Artificial Intelligence 216
- Social Psychology 121
Countries citing papers authored by Gerald M. Reicher
This map shows the geographic impact of Gerald M. Reicher'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 Gerald M. Reicher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald M. Reicher more than expected).
Fields of papers citing papers by Gerald M. Reicher
This network shows the impact of papers produced by Gerald M. Reicher. 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 Gerald M. Reicher. The network helps show where Gerald M. Reicher may publish in the future.
Co-authorship network of co-authors of Gerald M. Reicher
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald M. Reicher. A scholar is included among the top collaborators of Gerald M. Reicher 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 Gerald M. Reicher. Gerald M. Reicher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 36 | |
| 3 | 37 | |
| 4 | 46 | |
| 5 | 64 | |
| 6 | 103 | |
| 7 | 3 | |
| 8 | Perceptual recognition as a function of meaningfulness of stimulus material.breakdown → | 887 |
| 9 | 119 |
About Gerald M. Reicher
Gerald M. Reicher is a scholar working on Experimental and Cognitive Psychology, Geology and Cognitive Neuroscience, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (3 papers), Advanced Text Analysis Techniques (3 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Developmental and Educational Psychology (626 citations), Cognitive Neuroscience (842 citations) and Experimental and Cognitive Psychology (554 citations). Gerald M. Reicher has collaborated with scholars based in United States. Frequent co-authors include Harold L. Hawkins, John T. Richards, Miriam D. Rogers, Darryl Bruce, Charles N. Cofer and C. R. Snyder. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Perception & Psychophysics and Journal of Experimental Psychology.
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.