Matthew E. Phillips

471 citations
13 papers · 351 · h-index 7

Impact in

  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • Olfactory and Sensory Function Studies

Papers in

Matthew E. Phillips

13 papers receiving 347 citations

Peers

Matthew E. Phillips
Comparison fields: 5 of 39
  • Neurology 132
  • Sensory Systems 75
  • Cognitive Neuroscience 84
  • General Decision Sciences 6
  • Endocrine and Autonomic Systems 9
Replace Siwei Liu with:
Siwei Liu China
Albert Berman Germany
Zachary D. Perez United States
Donald C. Woolston United States
Bruno Philoxène France
Poortata Lalwani United States
Sergei A. Kurkin Japan
Syed Ahsan Chowdhury United States
David Wolsk United States
Matthew E. Phillips relative to Siwei Liu China Siwei Liu's profile →
Citations per field
00.5×2×4×6.7×
Siwei Liu · 1×
Citations per year

Countries citing papers authored by Matthew E. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2017103
2 201671
3 201262
4 201136
5 201133
6 201612
7 201612
8 20165
9 20144
10 20154
11
Top-Down Executive Control Drives Reticular-Thalamic Inhibition and Relays Cortical Information in a Large-Scale Neurocognitive Model.
20133
12 20143
13 20173

About Matthew E. Phillips

Matthew E. Phillips is a scholar working on Neurology, Sensory Systems, Cognitive Neuroscience, General Decision Sciences and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 351 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (4 papers), Neural and Behavioral Psychology Studies (3 papers), Olfactory and Sensory Function Studies (3 papers), Decision-Making and Behavioral Economics (2 papers), User Authentication and Security Systems (1 paper), Alzheimer's disease research and treatments (1 paper), Human-Automation Interaction and Safety (1 paper) and Cognitive Computing and Networks (1 paper). The work is most often cited by research in Neurology (132 citations), Sensory Systems (75 citations), Cognitive Neuroscience (84 citations), General Decision Sciences (6 citations) and Endocrine and Autonomic Systems (9 citations). Matthew E. Phillips has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include David C. Willhite, Jaehoon Choe, Matthias D. Ziegler, Gordon M. Shepherd, Robert N. S. Sachdev, Brian A. Coffman, Abhishek Datta, Praveen K. Pilly, Theodoros P. Zanos and Christopher C. Pack. Their work appears in journals such as Frontiers in Neural Circuits, Journal of Neuroscience, PLoS ONE, Brain stimulation and Current Biology.

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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