Brandon S. Minnery
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Sensory Systems top 2%
- Urology top 5%
- Artificial Intelligence
- Co-authors
- Daniel J. SimonsMichael FineMichael B. ChancellorNaoki YoshimuraFernando de MiguelRandy M. BrunoSoledad SantosYukio Hayashi
- Topics
- Neural dynamics and brain function (3 papers)Neuroscience and Neuropharmacology Research (2 papers)Complex Network Analysis Techniques (2 papers)
- Partner nations
- United States
In The Last Decade
Brandon S. Minnery
18 papers receiving 555 citations
Peers
Comparison fields: 5 of 100
- Cognitive Neuroscience 234
- Cellular and Molecular Neuroscience 198
- Sensory Systems 157
- Urology 98
- Artificial Intelligence 54
Countries citing papers authored by Brandon S. Minnery
This map shows the geographic impact of Brandon S. Minnery'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 Brandon S. Minnery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon S. Minnery more than expected).
Fields of papers citing papers by Brandon S. Minnery
This network shows the impact of papers produced by Brandon S. Minnery. 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 Brandon S. Minnery. The network helps show where Brandon S. Minnery may publish in the future.
Co-authorship network of co-authors of Brandon S. Minnery
This figure shows the co-authorship network connecting the top 25 collaborators of Brandon S. Minnery. A scholar is included among the top collaborators of Brandon S. Minnery 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 Brandon S. Minnery. Brandon S. Minnery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 22 | |
| 5 | Measuring individual differences in cognitive effort avoidance. | 5 |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 76 | |
| 9 | Adapting the Turing Test for Embodied Neurocognitive Evaluation of Biologically-Inspired Cognitive Agents. | 7 |
| 10 | The BICA Cognitive Decathlon: A Test Suite for Biologically-Inspired Cognitive Agents | 15 |
| 11 | 32 | |
| 12 | 183 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 120 | |
| 18 | 60 |
About Brandon S. Minnery
Brandon S. Minnery is a scholar working on General Decision Sciences, Applied Psychology and Urology, having authored 18 papers that have together received 567 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Sensory Systems (157 citations), Urology (98 citations) and Cognitive Neuroscience (234 citations). Brandon S. Minnery has collaborated with scholars based in United States. Frequent co-authors include Daniel J. Simons, Michael Fine, Michael B. Chancellor, Naoki Yoshimura, Fernando de Miguel, Randy M. Bruno, Soledad Santos, Yukio Hayashi, Macrina Xavier and Jiro Nagatomi. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology and The Journal of Urology.
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.