Samuel R. Nason

783 citations
26 papers · 438 indexed · h-index 13
Topics
Neuroscience and Neural Engineering (20 papers)EEG and Brain-Computer Interfaces (18 papers)Advanced Memory and Neural Computing (15 papers)

In The Last Decade

Samuel R. Nason

25 papers receiving 423 citations

Peers

Samuel R. Nason
Comparison fields: 5 of 55
  • Cognitive Neuroscience 284
  • Cellular and Molecular Neuroscience 283
  • Electrical and Electronic Engineering 205
  • Biomedical Engineering 165
  • Neurology 16
Replace Angelica J. Herrera with:
Angelica J. Herrera United States
Autumn J. Bullard United States
Jacopo Tessadori Italy
Yi‐Kai Lo United States
Guillaume Charvet France
Fabien Sauter-Starace France
Antonella Benvenuto Italy
László Grand Hungary
Christopher W. Bull United States
Samuel R. Nason relative to Angelica J. Herrera United States Angelica J. Herrera's profile →
Citations per field
00.5×2.9×
Angelica J. Herrera · 1×
Citations per year

Countries citing papers authored by Samuel R. Nason

Since Specialization
Citations

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

Fields of papers citing papers by Samuel R. Nason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel R. Nason. 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 Samuel R. Nason. The network helps show where Samuel R. Nason may publish in the future.

Co-authorship network of co-authors of Samuel R. Nason

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel R. Nason. A scholar is included among the top collaborators of Samuel R. Nason 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 Samuel R. Nason. Samuel R. Nason 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
#WorkIndexed citations
1 8
2 0
3 3
4 1
5 22
6 17
7 6
8 49
9 5
10 1
11 26
12 21
13 12
14 78
15 39
16 15
17 7
18 31
19 11
20 36

About Samuel R. Nason

Samuel R. Nason is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 26 papers that have together received 438 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (20 papers), EEG and Brain-Computer Interfaces (18 papers) and Advanced Memory and Neural Computing (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (283 citations), Cognitive Neuroscience (284 citations) and Biomedical Engineering (165 citations). Samuel R. Nason has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Cynthia A. Chestek, Parag G. Patil, Matthew S. Willsey, Taekwang Jang, David Blaauw, Alex K. Vaskov, Hun-Seok Kim, Philip P. Vu, Chrono S. Nu and Autumn J. Bullard. Their work appears in journals such as Nature Communications, Neuron and Journal of Clinical Oncology.

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