Mark S. Gilzenrat

1.4k total citations · 1 hit paper
7 papers, 957 citations indexed

About

Mark S. Gilzenrat is a scholar working on Cognitive Neuroscience, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Mark S. Gilzenrat has authored 7 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Molecular Biology and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Mark S. Gilzenrat's work include Neural dynamics and brain function (6 papers), Neural and Behavioral Psychology Studies (4 papers) and Memory and Neural Mechanisms (3 papers). Mark S. Gilzenrat is often cited by papers focused on Neural dynamics and brain function (6 papers), Neural and Behavioral Psychology Studies (4 papers) and Memory and Neural Mechanisms (3 papers). Mark S. Gilzenrat collaborates with scholars based in United States and Netherlands. Mark S. Gilzenrat's 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 and has published in prestigious journals such as Journal of Experimental Psychology General, Neural Computation and Neural Networks.

In The Last Decade

Mark S. Gilzenrat

7 papers receiving 938 citations

Hit Papers

Pupil diameter tracks changes in control state predicted ... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark S. Gilzenrat United States 7 835 159 95 89 83 7 957
Aline Bompas United Kingdom 20 797 1.0× 181 1.1× 120 1.3× 105 1.2× 83 1.0× 39 1.1k
Jan Willem de Gee Netherlands 11 870 1.0× 129 0.8× 82 0.9× 87 1.0× 142 1.7× 23 994
Archy O. de Berker United Kingdom 13 746 0.9× 148 0.9× 95 1.0× 93 1.0× 34 0.4× 15 1.0k
Niels A Kloosterman Germany 12 757 0.9× 99 0.6× 63 0.7× 75 0.8× 62 0.7× 19 846
Leanne Boucher United States 13 1.1k 1.3× 96 0.6× 65 0.7× 94 1.1× 41 0.5× 33 1.2k
Catherine Hanson United States 17 547 0.7× 160 1.0× 82 0.9× 120 1.3× 38 0.5× 31 849
Thorsten Fehr Germany 19 1.0k 1.3× 251 1.6× 169 1.8× 133 1.5× 53 0.6× 41 1.4k
Tolgay Ergenoğlu Türkiye 8 685 0.8× 82 0.5× 66 0.7× 109 1.2× 45 0.5× 9 791
Wolfgang M. Pauli United States 12 555 0.7× 154 1.0× 76 0.8× 144 1.6× 25 0.3× 17 817
Sara Jahfari Netherlands 15 893 1.1× 124 0.8× 58 0.6× 115 1.3× 20 0.2× 20 1.2k

Countries citing papers authored by Mark S. Gilzenrat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

7 of 7 papers shown
1.
Gilzenrat, Mark S., Sander Nieuwenhuis, Marieke Jepma, & Jonathan D. Cohen. (2010). Pupil diameter tracks changes in control state predicted by the adaptive gain theory of locus coeruleus function. Cognitive Affective & Behavioral Neuroscience. 10(2). 252–269. 561 indexed citations breakdown →
2.
Shea‐Brown, Eric, Mark S. Gilzenrat, & Jonathan D. Cohen. (2008). Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus. Neural Computation. 20(12). 2863–2894. 31 indexed citations
3.
McClure, Samuel M., Mark S. Gilzenrat, & Jonathan D. Cohen. (2005). An exploration-exploitation model based on norepinepherine and dopamine activity. Neural Information Processing Systems. 18. 867–874. 42 indexed citations
4.
Nieuwenhuis, Sander, et al.. (2005). The Role of the Locus Coeruleus in Mediating the Attentional Blink: A Neurocomputational Theory.. Journal of Experimental Psychology General. 134(3). 291–307. 145 indexed citations
5.
Brown, Eric, Juan Gao, Philip Holmes, et al.. (2005). SIMPLE NEURAL NETWORKS THAT OPTIMIZE DECISIONS. International Journal of Bifurcation and Chaos. 15(3). 803–826. 74 indexed citations
6.
Cohen, Jonathan D., Gary Aston‐Jones, & Mark S. Gilzenrat. (2004). A Systems-Level Perspective on Attention and Cognitive Control: Guided Activation, Adaptive Gating, Conflict Monitoring, and Exploitation versus Exploration.. 79 indexed citations
7.
Gilzenrat, Mark S., et al.. (2002). Simplified dynamics in a model of noradrenergic modulation of cognitive performance. Neural Networks. 15(4-6). 647–663. 25 indexed citations

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.

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