Andréia V. Faria

8.3k citations
135 papers · 5.9k indexed · 1 hit paper · h-index 34

Andréia V. Faria

127 papers receiving 5.9k citations

Hit Papers

Stereotaxic white matter atlas based on diffusion tensor ...1.4k20082026201420204008001.2k

Peers

Andréia V. Faria
Comparison fields: 5 of 148
  • Radiology, Nuclear Medicine and Imaging 3.4k
  • Cognitive Neuroscience 2.5k
  • Computational Mathematics 67
  • Neurology 569
  • Psychiatry and Mental health 955
Replace Stephen Rose with:
Stephen Rose Australia
Thomas R. Barrick United Kingdom
Fang‐Cheng Yeh United States
Kegang Hua United States
Anderson M. Winkler United States
Hangyi Jiang United States
Wen‐Yih Isaac Tseng Taiwan
Stuart Clare United Kingdom
Philippe Maeder Switzerland
Setsu Wakana United States
Andréia V. Faria relative to Stephen Rose Australia Stephen Rose's profile →
Citations per field
00.5×1.5×
Stephen Rose · 1×
Citations per year

Countries citing papers authored by Andréia V. Faria

Since Specialization
Citations

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

Fields of papers citing papers by Andréia V. Faria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andréia V. Faria. 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 Andréia V. Faria. The network helps show where Andréia V. Faria may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20242
5 20240
6 20241
7 202316
8 20231
9 20231
10 20239
11 202210
12 20228
13 202121
14 202022
15 20201
16 201919
17 201814
18 201649
19 201532
20 2013133

About Andréia V. Faria

Andréia V. Faria is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 135 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (50 papers), Neurobiology of Language and Bilingualism (34 papers), Functional Brain Connectivity Studies (33 papers), Advanced MRI Techniques and Applications (24 papers), Fetal and Pediatric Neurological Disorders (10 papers), Acute Ischemic Stroke Management (10 papers), Genetic Neurodegenerative Diseases (9 papers) and Spatial Neglect and Hemispheric Dysfunction (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.4k citations), Cognitive Neuroscience (2.5k citations) and Computational Mathematics (67 citations). Andréia V. Faria has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Susumu Mori, Kenichi Oishi, Michael I. Miller, Peter C.M. van Zijl, Xin Li, Hangyi Jiang, Jiangyang Zhang, Kazi Akhter, Arthur W. Toga and Alan C. Evans.

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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