Ken Norman
Impact in
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Memory Processes and Influences
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Face Recognition and Perception
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- Identity, Memory, and Therapy
Papers in
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- Memory and Neural Mechanisms 4
- Memory Processes and Influences 3
- Face Recognition and Perception 2
- Neural dynamics and brain function 2
- Functional Brain Connectivity Studies 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Justin C. Hulbert (1 shared paper)Christopher J. Honey (1 shared paper)Chen Ji (1 shared paper)Erez Simony (1 shared paper)Michael J. Arcaro (1 shared paper)Uri Hasson (1 shared paper)Jordan Poppenk (1 shared paper)Erika Nyhus (1 shared paper)
- Journals
- Cerebral Cortex (2 papers)Journal of Vision (1 paper)Journal of Neuroscience (1 paper)Psychonomic Bulletin & Review (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Ken Norman
5 papers receiving 215 citations
Peers
Comparison fields: 5 of 21
- Cognitive Neuroscience 209
- Developmental and Educational Psychology 33
- Cellular and Molecular Neuroscience 44
- Computational Mathematics 1
- Behavioral Neuroscience 5
Countries citing papers authored by Ken Norman
This map shows the geographic impact of Ken Norman'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 Ken Norman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Norman more than expected).
Fields of papers citing papers by Ken Norman
This network shows the impact of papers produced by Ken Norman. 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 Ken Norman. The network helps show where Ken Norman may publish in the future.
Co-authors
The 12 scholars most cited alongside Ken Norman, 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 | 2015 | 90 | |
| 2 | 2014 | 83 | |
| 3 | 2008 | 22 | |
| 4 | 2014 | 21 | |
| 5 | 2012 | 1 |
About Ken Norman
Ken Norman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Social Psychology, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 217 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (4 papers), Memory Processes and Influences (3 papers), Face Recognition and Perception (2 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Functional Brain Connectivity Studies (1 paper) and Deception detection and forensic psychology (1 paper). The work is most often cited by research in Cognitive Neuroscience (209 citations), Developmental and Educational Psychology (33 citations), Cellular and Molecular Neuroscience (44 citations), Computational Mathematics (1 citation) and Behavioral Neuroscience (5 citations). Ken Norman has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Justin C. Hulbert, Christopher J. Honey, Chen Ji, Erez Simony, Michael J. Arcaro, Uri Hasson, Jordan Poppenk, Erika Nyhus, Tim Curran and Jonathan D. Cohen. Their work appears in journals such as Cerebral Cortex, Journal of Vision, Journal of Neuroscience and Psychonomic Bulletin & Review.
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.