Matthew D. Johnson

6.2k citations
117 papers · 4.5k · h-index 36

Impact in

Papers in

Matthew D. Johnson

114 papers receiving 4.4k citations

Peers

Matthew D. Johnson
Comparison fields: 5 of 122
  • Neurology 1.8k
  • Cellular and Molecular Neuroscience 1.8k
  • Cognitive Neuroscience 1.0k
  • Neurology 405
  • Condensed Matter Physics 419
Replace N. Tsukahara with:
N. Tsukahara Japan
Shoogo Ueno Japan
Ho Ko Hong Kong
Johannes Sarnthein Switzerland
Dominique M. Durand United States
Jean‐Luc Martin Switzerland
Kenji Ishibashi Japan
Oliver Paul Germany
Yoshifumi Katayama Japan
K. Kitamura Japan
Matthew D. Johnson relative to N. Tsukahara Japan N. Tsukahara's profile →
Citations per field
00.5×8.7×
N. Tsukahara · 1×
Citations per year

Countries citing papers authored by Matthew D. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Johnson. 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 Matthew D. Johnson. The network helps show where Matthew D. Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew D. Johnson, 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 Matthew D. Johnson Line = papers co-authored together Matthew D. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994416
2 2008209
3 2009185
4 2013162
5 2020151
6 2010139
7 1992132
8 1994120
9 2006110
10 1995108
11 2005107
12 201099
13 201199
14 200896
15 201693
16 200892
17 201691
18 201582
19 201278
20 201576

About Matthew D. Johnson

Matthew D. Johnson is a scholar working on Neurology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Atmospheric Science, having authored 117 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neurological disorders and treatments (66 papers), Neuroscience and Neural Engineering (37 papers), Parkinson's Disease Mechanisms and Treatments (26 papers), EEG and Brain-Computer Interfaces (21 papers), Neural dynamics and brain function (13 papers), nanoparticles nucleation surface interactions (12 papers), Surface and Thin Film Phenomena (9 papers) and Genetic Neurodegenerative Diseases (9 papers). The work is most often cited by research in Neurology (1.8k citations), Cellular and Molecular Neuroscience (1.8k citations), Cognitive Neuroscience (1.0k citations), Neurology (405 citations) and Condensed Matter Physics (419 citations). Matthew D. Johnson has collaborated with scholars based in United States, Finland and Saudi Arabia. Frequent co-authors include Jerrold L. Vitek, Cameron C. McIntyre, Daryl R. Kipke, J. Sudijono, Svjetlana Miocinovic, Bradford G. Orr, Kenneth B. Baker, Kevin J. Otto, Christine A. Orme and B. G. Orr. Their work appears in journals such as Journal of Neural Engineering, Journal of Neurophysiology, Brain stimulation, Surface Science and IEEE Transactions on Biomedical Engineering.

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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