Samuel J. Williamson

1.2k total citations
38 papers, 813 citations indexed

About

Samuel J. Williamson is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Samuel J. Williamson has authored 38 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 11 papers in Atomic and Molecular Physics, and Optics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Samuel J. Williamson's work include Functional Brain Connectivity Studies (9 papers), Atomic and Subatomic Physics Research (7 papers) and Neural dynamics and brain function (5 papers). Samuel J. Williamson is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Atomic and Subatomic Physics Research (7 papers) and Neural dynamics and brain function (5 papers). Samuel J. Williamson collaborates with scholars based in United States, United Kingdom and Netherlands. Samuel J. Williamson's co-authors include Lloyd Kaufman, Gian Luca Romani, L Kaufman, Alan Gevins, John P. Wikswo, Douglas Brenner, Yoshio Okada, Jia-Zhu Wang, Zhong‐Lin Lu and Christoph M. Michel and has published in prestigious journals such as Journal of Applied Physics, Annals of the New York Academy of Sciences and Sports Medicine.

In The Last Decade

Samuel J. Williamson

37 papers receiving 755 citations

Peers

Samuel J. Williamson
Comparison fields: 5 of 88
  • Cognitive Neuroscience 398
  • Atomic and Molecular Physics, and Optics 202
  • Electrical and Electronic Engineering 162
  • Radiology, Nuclear Medicine and Imaging 152
  • Biomedical Engineering 79
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Citations per field, relative to Samuel J. Williamson
Samuel J. Williamson · 1×
Citations per year, relative to Samuel J. Williamson
Samuel J. Williamson · 1×

Countries citing papers authored by Samuel J. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Samuel J. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel J. Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel J. Williamson. A scholar is included among the top collaborators of Samuel J. Williamson 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 J. Williamson. Samuel J. Williamson 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 4
2 7
3 2
4 3
5 2
6 4
7 16
8 76
9 33
10 20
11 66
12
Methods and Instrumentation for Biomagnetism.
5
13 12
14
Magnetoencephalography with an Array of Squid Sensors.
4
15
Evidence for Multiple Areas in the Human Auditory Cortex.
2
16 74
17 15
18 9
19 22
20 25

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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