Jack Nissan
Impact in
- Cognitive Neuroscience top 10%
- Neurobiology of Language and Bilingualism
- Neural and Behavioral Psychology Studies
Papers in
-
- Memory and Neural Mechanisms 2
- Neurobiology of Language and Bilingualism 2
- Neural and Behavioral Psychology Studies 2
- Functional Brain Connectivity Studies 1
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- Cognitive Abilities and Testing 3
- Cognitive Functions and Memory 1
- Co-authors
- Ian J. Deary (5 shared papers)David C. Liewald (2 shared papers)Michael Allerhand (1 shared paper)Thomas H. Bak (1 shared paper)Rachel Cooper (1 shared paper)Annie T. Ginty (1 shared paper)Diana Kuh (1 shared paper)Janet M. Lord (1 shared paper)
- Journals
- Intelligence (2 papers)Annals of Neurology (1 paper)BMC Medicine (1 paper)Neurocase (1 paper)Behavior Research Methods (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Jack Nissan
7 papers receiving 597 citations
Peers
Comparison fields: 5 of 100
- Cognitive Neuroscience 209
- Neuropsychology and Physiological Psychology 15
- Aging 18
- Developmental and Educational Psychology 117
- Psychiatry and Mental health 97
Countries citing papers authored by Jack Nissan
This map shows the geographic impact of Jack Nissan'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 Jack Nissan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Nissan more than expected).
Fields of papers citing papers by Jack Nissan
This network shows the impact of papers produced by Jack Nissan. 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 Jack Nissan. The network helps show where Jack Nissan may publish in the future.
Co-authors
The 22 scholars most cited alongside Jack Nissan, 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 | 226 | |
| 2 | 2014 | 198 | |
| 3 | 2015 | 143 | |
| 4 | 2010 | 23 | |
| 5 | 2013 | 14 | |
| 6 | 2014 | 11 | |
| 7 | 2012 | 3 |
About Jack Nissan
Jack Nissan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Psychiatry and Mental health, Developmental and Educational Psychology and Social Psychology, having authored 7 papers that have together received 618 indexed citations. Recurring topics across this work include Cognitive Abilities and Testing (3 papers), Memory and Neural Mechanisms (2 papers), Dementia and Cognitive Impairment Research (2 papers), Neurobiology of Language and Bilingualism (2 papers), Neural and Behavioral Psychology Studies (2 papers), Functional Brain Connectivity Studies (1 paper), Human-Automation Interaction and Safety (1 paper) and Cognitive Functions and Memory (1 paper). The work is most often cited by research in Cognitive Neuroscience (209 citations), Neuropsychology and Physiological Psychology (15 citations), Aging (18 citations), Developmental and Educational Psychology (117 citations) and Psychiatry and Mental health (97 citations). Jack Nissan has collaborated with scholars based in United Kingdom. Frequent co-authors include Ian J. Deary, David C. Liewald, Michael Allerhand, Thomas H. Bak, Rachel Cooper, Annie T. Ginty, Diana Kuh, Janet M. Lord, John C. Mathers and José Lara. Their work appears in journals such as Intelligence, Annals of Neurology, BMC Medicine, Neurocase and Behavior Research Methods.
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.