Mark S. Gilzenrat
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 10%
- Social Psychology top 10%
- Cellular and Molecular Neuroscience
- Sensory Systems top 5%
- Co-authors
- Jonathan D. CohenSander NieuwenhuisMarieke JepmaGary Aston‐JonesSamuel M. McClurePhilip HolmesRafał BogaczEric Brown
- Topics
- Neural dynamics and brain function (6 papers)Neural and Behavioral Psychology Studies (4 papers)Memory and Neural Mechanisms (3 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
Mark S. Gilzenrat
7 papers receiving 938 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 835
- Experimental and Cognitive Psychology 159
- Social Psychology 95
- Cellular and Molecular Neuroscience 89
- Sensory Systems 83
Countries citing papers authored by Mark S. Gilzenrat
This map shows the geographic impact of Mark S. Gilzenrat'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 Mark S. Gilzenrat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Gilzenrat more than expected).
Fields of papers citing papers by Mark S. Gilzenrat
This network shows the impact of papers produced by Mark S. Gilzenrat. 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 Mark S. Gilzenrat. The network helps show where Mark S. Gilzenrat may publish in the future.
Co-authorship network of co-authors of Mark S. Gilzenrat
This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Gilzenrat. A scholar is included among the top collaborators of Mark S. Gilzenrat 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 Mark S. Gilzenrat. Mark S. Gilzenrat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pupil diameter tracks changes in control state predicted by the adaptive gain theory of locus coeruleus functionbreakdown → | 561 |
| 2 | 31 | |
| 3 | An exploration-exploitation model based on norepinepherine and dopamine activity | 42 |
| 4 | 145 | |
| 5 | 74 | |
| 6 | A Systems-Level Perspective on Attention and Cognitive Control: Guided Activation, Adaptive Gating, Conflict Monitoring, and Exploitation versus Exploration. | 79 |
| 7 | 25 |
About Mark S. Gilzenrat
Mark S. Gilzenrat is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 957 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neural and Behavioral Psychology Studies (4 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Cognitive Neuroscience (835 citations), General Decision Sciences (50 citations) and Sensory Systems (83 citations). Mark S. Gilzenrat has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Jonathan D. Cohen, Sander Nieuwenhuis, Marieke Jepma, Gary Aston‐Jones, Samuel M. McClure, Philip Holmes, Rafał Bogacz, Eric Brown, Juan Gao and Eric Shea‐Brown. Their work appears in journals such as Journal of Experimental Psychology General, Neural Computation and Neural Networks.
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.