Matthew T. Avila

917 citations
23 papers · 683 indexed · h-index 16
Topics
Schizophrenia research and treatment (9 papers)Glaucoma and retinal disorders (5 papers)Neural dynamics and brain function (3 papers)

In The Last Decade

Matthew T. Avila

23 papers receiving 659 citations

Peers

Matthew T. Avila
Comparison fields: 5 of 69
  • Psychiatry and Mental health 289
  • Cognitive Neuroscience 203
  • Molecular Biology 202
  • Cellular and Molecular Neuroscience 152
  • Clinical Psychology 77
Replace Helene Adami with:
Helene Adami United States
Emanuel Bubl Germany
Anne Schmechtig United Kingdom
KF Berman United States
David J. King United Kingdom
Shawn L. Cassady United States
Jeroen A. van der Linden Netherlands
Ronald D. Kaplan Canada
R.S. Kahn Netherlands
Alexandra Sporn United States
Matthew T. Avila relative to Helene Adami United States Helene Adami's profile →
Citations per field
00.5×1.5×2.2×
Helene Adami · 1×
Citations per year

Countries citing papers authored by Matthew T. Avila

Since Specialization
Citations

This map shows the geographic impact of Matthew T. Avila'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 T. Avila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Avila more than expected).

Fields of papers citing papers by Matthew T. Avila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew T. Avila

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Avila. A scholar is included among the top collaborators of Matthew T. Avila 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 Matthew T. Avila. Matthew T. Avila 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 52
2 31
3 5
4 47
5 35
6 7
7 22
8 71
9 19
10 33
11 45
12 67
13 4
14 18
15 45
16 74
17 1
18 3
19 5
20 43

About Matthew T. Avila

Matthew T. Avila is a scholar working on Psychiatry and Mental health, Ophthalmology and Cognitive Neuroscience, having authored 23 papers that have together received 683 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (9 papers), Glaucoma and retinal disorders (5 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Psychiatry and Mental health (289 citations), Biological Psychiatry (47 citations) and Cognitive Neuroscience (203 citations). Matthew T. Avila has collaborated with scholars based in United States, Netherlands and Singapore. Frequent co-authors include Gunvant K. Thaker, L. Elliot Hong, Helene Adami, Ikwunga Wonodi, Jay D. Sherr, Carol S. Myers, Robert P. McMahon, Elliot Hong, Teresa A. Blaxton and Henry H. Holcomb. Their work appears in journals such as American Journal of Psychiatry, Journal of Neurophysiology and Biological Psychiatry.

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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