Tyler McMillen

579 total citations
18 papers, 428 citations indexed

About

Tyler McMillen is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Tyler McMillen has authored 18 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Applied Mathematics, 4 papers in Statistical and Nonlinear Physics and 4 papers in Cognitive Neuroscience. Recurrent topics in Tyler McMillen's work include Neural dynamics and brain function (4 papers), Neural Networks and Applications (3 papers) and Biomimetic flight and propulsion mechanisms (3 papers). Tyler McMillen is often cited by papers focused on Neural dynamics and brain function (4 papers), Neural Networks and Applications (3 papers) and Biomimetic flight and propulsion mechanisms (3 papers). Tyler McMillen collaborates with scholars based in United States and United Kingdom. Tyler McMillen's co-authors include Philip Holmes, Alain Goriely, Thelma L. Williams, Peter White, James A. Powell, Casey O. Diekman, Martin Golubitsky, Yunjiao Wang, Patrick Simen and Andrej Zlatoš and has published in prestigious journals such as Physical Review Letters, PLoS Computational Biology and Neural Networks.

In The Last Decade

Tyler McMillen

18 papers receiving 414 citations

Peers

Tyler McMillen
Comparison fields: 5 of 89
  • Cognitive Neuroscience 113
  • Aerospace Engineering 99
  • Biomedical Engineering 93
  • Condensed Matter Physics 57
  • Statistical and Nonlinear Physics 48
Replace Arthur David Snider with:
Arthur David Snider United States
Zhaoyang Huang China
Masoud Asadpour Switzerland
Gautam Reddy United States
R. De Leo Italy
Takuma Otsuka Japan
Christophe Guérin France
Daniele Avitabile United Kingdom
Serge Kernbach Germany
Daniel Strömbom United States
Arthur David Snider United States View profile →
Citations per field, relative to Tyler McMillen
Tyler McMillen · 1×
Citations per year, relative to Tyler McMillen
Tyler McMillen · 1×

Countries citing papers authored by Tyler McMillen

Since Specialization
Citations

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

Fields of papers citing papers by Tyler McMillen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler McMillen

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 2
2 2
3 6
4 16
5 12
6 7
7
Hebbian learning for deciding optimally among many alternatives (almost)
1
8 5
9 4
10 18
11 9
12 13
13 65
14 66
15 113
16 28
17 41
18 20

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026