Eva Feredoes

2.7k citations
31 papers · 1.9k indexed · 1 hit paper · h-index 16
Topics
Neural and Behavioral Psychology Studies (17 papers)Functional Brain Connectivity Studies (14 papers)Neural dynamics and brain function (10 papers)

In The Last Decade

Eva Feredoes

27 papers receiving 1.9k citations

Hit Papers

Anodal transcranial direct current stimulation of prefron...20052026201220192005250500750

Peers

Eva Feredoes
Comparison fields: 5 of 100
  • Cognitive Neuroscience 1.5k
  • Neurology 974
  • Experimental and Cognitive Psychology 187
  • Psychiatry and Mental health 161
  • Cellular and Molecular Neuroscience 119
Replace Paul F. Sowman with:
Paul F. Sowman Australia
R. Andy McKinley United States
Robert D. McIntosh United Kingdom
Dylan M. Nielson United States
Amanda Ellison United Kingdom
Jorge Leite Portugal
Mathias S. Fleck United States
Megan A. Boudewyn United States
Matthias Mittner Norway
Yixuan Ku China
Eva Feredoes relative to Paul F. Sowman Australia Paul F. Sowman's profile →
Citations per field
00.5×5.6×
Paul F. Sowman · 1×
Citations per year

Countries citing papers authored by Eva Feredoes

Since Specialization
Citations

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

Fields of papers citing papers by Eva Feredoes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Feredoes. 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 Eva Feredoes. The network helps show where Eva Feredoes may publish in the future.

Co-authorship network of co-authors of Eva Feredoes

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Feredoes. A scholar is included among the top collaborators of Eva Feredoes 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 Eva Feredoes. Eva Feredoes 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 0
2 0
3 0
4 5
5 40
6 135
7 50
8 65
9 40
10 38
11 58
12 12
13 23
14 3
15 43
16 44
17 111
18 14
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Anodal transcranial direct current stimulation of prefrontal cortex enhances working memorybreakdown →
896
20 1

About Eva Feredoes

Eva Feredoes is a scholar working on Cognitive Neuroscience, Neurology and Anesthesiology and Pain Medicine, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (17 papers), Functional Brain Connectivity Studies (14 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Neurology (974 citations), Cognitive Neuroscience (1.5k citations) and Experimental and Cognitive Psychology (187 citations). Eva Feredoes has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Bradley R. Postle, Marco Antônio Marcolin, Felipe Fregni, Andrea Antal, Sergio P. Rigonatti, Álvaro Pascual‐Leone, Walter Paulus, Paulo S. Boggio, Michael A. Nitsche and Felix Bermpohl. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

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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