N. J. Mackintosh
- Cognitive Neuroscience top 0.1%
- Developmental and Educational Psychology top 0.1%
- Cellular and Molecular Neuroscience top 0.2%
- Social Psychology top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Co-authors
- Winfred F. HillNeil SutherlandIan P. L. McLarenM. E. BittermanAnthony DickinsonV. D. ChamizoI.P.L. McLarenHelen Kaye
- Topics
- Memory and Neural Mechanisms (68 papers)Olfactory and Sensory Function Studies (34 papers)Child and Animal Learning Development (27 papers)
- Journals
- NatureSciencePsychological Bulletin
- Partner nations
- United KingdomCanadaSpain
In The Last Decade
N. J. Mackintosh
179 papers receiving 12.5k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Cognitive Neuroscience 8.4k
- Developmental and Educational Psychology 3.8k
- Cellular and Molecular Neuroscience 3.5k
- Social Psychology 2.2k
- Experimental and Cognitive Psychology 1.8k
Countries citing papers authored by N. J. Mackintosh
This map shows the geographic impact of N. J. Mackintosh'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 N. J. Mackintosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. J. Mackintosh more than expected).
Fields of papers citing papers by N. J. Mackintosh
This network shows the impact of papers produced by N. J. Mackintosh. 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 N. J. Mackintosh. The network helps show where N. J. Mackintosh may publish in the future.
Co-authorship network of co-authors of N. J. Mackintosh
This figure shows the co-authorship network connecting the top 25 collaborators of N. J. Mackintosh. A scholar is included among the top collaborators of N. J. Mackintosh 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 N. J. Mackintosh. N. J. Mackintosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Landmark vs. Geometry Learning: Explaining Female Rats' Selective Preference for a Landmark. | 10 |
| 2 | 16 | |
| 3 | 62 | |
| 4 | 10 | |
| 5 | 31 | |
| 6 | 17 | |
| 7 | Two theories of attention: a review and a possible integration | 91 |
| 8 | 43 | |
| 9 | 95 | |
| 10 | 24 | |
| 11 | 18 | |
| 12 | 6 | |
| 13 | Do not ask whether they have a cognitive map but how they find their way about | 18 |
| 14 | 36 | |
| 15 | Aprendizaje perceptivo en discriminaciones espaciales | 9 |
| 16 | Learning and skills | 9 |
| 17 | 25 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 59 |
About N. J. Mackintosh
N. J. Mackintosh is a scholar working on Sensory Systems, Cognitive Neuroscience and Developmental and Educational Psychology, having authored 184 papers that have together received 13.5k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (68 papers), Olfactory and Sensory Function Studies (34 papers) and Child and Animal Learning Development (27 papers). The work is most often cited by research in Cognitive Neuroscience (8.4k citations), Behavioral Neuroscience (1.3k citations) and Sensory Systems (1.7k citations). N. J. Mackintosh has collaborated with scholars based in United Kingdom, Canada and Spain. Frequent co-authors include Winfred F. Hill, Neil Sutherland, Ian P. L. McLaren, M. E. Bitterman, Anthony Dickinson, V. D. Chamizo, I.P.L. McLaren, Helen Kaye, Cavan Bennett and Robert A. Boakes. Their work appears in journals such as Nature, Science and Psychological Bulletin.
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.