Sam E. John

1.6k citations
52 papers · 764 · h-index 16

Impact in

Papers in

Sam E. John

49 papers receiving 743 citations

Peers

Sam E. John
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 361
  • Cognitive Neuroscience 342
  • Neurology 129
  • Computational Mathematics 4
  • Neurology 45
Replace Nicholas L. Opie with:
Nicholas L. Opie Australia
Stephen T. Foldes United States
Zachary T. Irwin United States
Naresh C. Bhavaraju United States
Ammar Shaikhouni United States
Mesut Şahin United States
Tim M. Bruns United States
Elvira Pirondini Switzerland
Richard W. Marsh United States
Stephen M. Ronayne Australia
Sam E. John relative to Nicholas L. Opie Australia Nicholas L. Opie's profile →
Citations per field
00.5×1.5×
Nicholas L. Opie · 1×
Citations per year

Countries citing papers authored by Sam E. John

Since Specialization
Citations

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

Fields of papers citing papers by Sam E. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam E. John. 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 Sam E. John. The network helps show where Sam E. John may publish in the future.

Co-authors

The 25 scholars most cited alongside Sam E. John, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam E. John Line = papers co-authored together Sam E. John links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201892
2 198985
3 201845
4 201644
5 201744
6 201640
7 201834
8 201730
9 201730
10 201625
11 201324
12 201723
13 202321
14 201616
15 201115
16 201615
17 201211
18 201811
19 201911
20 201810

About Sam E. John

Sam E. John is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Neurology and Electrical and Electronic Engineering, having authored 52 papers that have together received 764 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (31 papers), EEG and Brain-Computer Interfaces (27 papers), Neurological disorders and treatments (8 papers), Neural dynamics and brain function (8 papers), Muscle activation and electromyography studies (6 papers), Advanced Memory and Neural Computing (5 papers), Neural and Behavioral Psychology Studies (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (361 citations), Cognitive Neuroscience (342 citations), Neurology (129 citations), Computational Mathematics (4 citations) and Neurology (45 citations). Sam E. John has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include David B. Grayden, Nicholas L. Opie, Thomas J. Oxley, Stephen M. Ronayne, Gil S. Rind, Terence J. O’Brien, Clive N. May, Yan T. Wong, Sharon McCarthy and H. A. W. Neil. Their work appears in journals such as Journal of Neural Engineering, Scientific Reports, IEEE Transactions on Biomedical Engineering, PLoS ONE and Magnetic Resonance Materials in Physics Biology and Medicine.

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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