Morgan D. Barense
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Experimental and Cognitive Psychology top 2%
- Sensory Systems top 0.5%
- Psychiatry and Mental health top 5%
- Co-authors
- Kim S. GrahamAndy LeeSusanne FerberLok‐Kin YeungRyan A. StevensonAlyssa H. SinclairIva K. BrunecMark G. Baxter
- Topics
- Memory and Neural Mechanisms (58 papers)Memory Processes and Influences (22 papers)Face Recognition and Perception (19 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Morgan D. Barense
90 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 121
- Cognitive Neuroscience 3.5k
- Cellular and Molecular Neuroscience 913
- Experimental and Cognitive Psychology 664
- Sensory Systems 487
- Psychiatry and Mental health 411
Countries citing papers authored by Morgan D. Barense
This map shows the geographic impact of Morgan D. Barense'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 Morgan D. Barense with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morgan D. Barense more than expected).
Fields of papers citing papers by Morgan D. Barense
This network shows the impact of papers produced by Morgan D. Barense. 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 Morgan D. Barense. The network helps show where Morgan D. Barense may publish in the future.
Co-authorship network of co-authors of Morgan D. Barense
This figure shows the co-authorship network connecting the top 25 collaborators of Morgan D. Barense. A scholar is included among the top collaborators of Morgan D. Barense 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 Morgan D. Barense. Morgan D. Barense is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 51 | |
| 8 | 8 | |
| 9 | 18 | |
| 10 | 17 | |
| 11 | 32 | |
| 12 | 32 | |
| 13 | 168 | |
| 14 | 71 | |
| 15 | 23 | |
| 16 | 39 | |
| 17 | 11 | |
| 18 | 30 | |
| 19 | 52 | |
| 20 | 285 |
About Morgan D. Barense
Morgan D. Barense is a scholar working on Cognitive Neuroscience, Sensory Systems and Neuropsychology and Physiological Psychology, having authored 92 papers that have together received 4.0k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (58 papers), Memory Processes and Influences (22 papers) and Face Recognition and Perception (19 papers). The work is most often cited by research in Cognitive Neuroscience (3.5k citations), Sensory Systems (487 citations) and Experimental and Cognitive Psychology (664 citations). Morgan D. Barense has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Kim S. Graham, Andy Lee, Susanne Ferber, Lok‐Kin Yeung, Ryan A. Stevenson, Alyssa H. Sinclair, Iva K. Brunec, Mark G. Baxter, Morris Moscovitch and David Gaffan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.