Sarah Marzen

698 total citations
40 papers, 337 citations indexed

About

Sarah Marzen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Sarah Marzen has authored 40 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 19 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Sarah Marzen's work include Neural dynamics and brain function (25 papers), Neural Networks and Applications (10 papers) and Neural Networks and Reservoir Computing (8 papers). Sarah Marzen is often cited by papers focused on Neural dynamics and brain function (25 papers), Neural Networks and Applications (10 papers) and Neural Networks and Reservoir Computing (8 papers). Sarah Marzen collaborates with scholars based in United States, Netherlands and India. Sarah Marzen's co-authors include James P. Crutchfield, Rob Phillips, Hernán G. García, Simon DeDeo, Michael R. DeWeese, Michel J. A. M. van Putten, Joost le Feber, Nicole Yunger Halpern, Christopher J. Hillar and Jeremy L. England and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Sarah Marzen

34 papers receiving 329 citations

Peers

Sarah Marzen
Comparison fields: 5 of 79
  • Cognitive Neuroscience 136
  • Artificial Intelligence 114
  • Molecular Biology 105
  • Statistical and Nonlinear Physics 72
  • Cellular and Molecular Neuroscience 35
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Joanna Tyrcha Sweden
Erik Hoel United States
Viola Folli Italy
Nils A. Baas Norway
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Ran Levi United Kingdom
Gennaro Auletta Italy
Alexey V. Melkikh Russia
Ari Pakman United States
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Citations per field, relative to Sarah Marzen
Sarah Marzen · 1×
Citations per year, relative to Sarah Marzen
Sarah Marzen · 1×

Countries citing papers authored by Sarah Marzen

Since Specialization
Citations

This map shows the geographic impact of Sarah Marzen'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 Sarah Marzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Marzen more than expected).

Fields of papers citing papers by Sarah Marzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah Marzen. 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 Sarah Marzen. The network helps show where Sarah Marzen may publish in the future.

Co-authorship network of co-authors of Sarah Marzen

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Marzen. A scholar is included among the top collaborators of Sarah Marzen 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 Sarah Marzen. Sarah Marzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 7
5 2
6 0
7 11
8 1
9 2
10 1
11 10
12
Informational and Causal Architecture of Continuous-time Renewal Processes
16
13
Structure and Randomness of Continuous-Time, Discrete-Event Processes
16
14 25
15
Bio-inspired problems in rate-distortion theory
1
16
Weak universality in sensory tradeoffs
5
17 6
18
Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity,\n and Learning
8
19 19
20 69

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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