Eva Palacios

4.8k citations
26 papers · 1.5k indexed · h-index 18

Impact in

    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
  • Neurology top 5%
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

Eva Palacios

26 papers receiving 1.5k citations

Peers

Eva Palacios
Comparison fields: 5 of 94
  • Cognitive Neuroscience 730
  • Neurology 406
  • Radiology, Nuclear Medicine and Imaging 615
  • Epidemiology 621
  • Sensory Systems 71
Replace Scott F. Sorg with:
Scott F. Sorg United States
Timothy Ham United Kingdom
Arnold Skimminge Denmark
Josef M. Ling United States
Carol V. Anderson United States
Lijun Bai China
Sandra Chanraud France
Karam Sidaros Denmark
Marta Correia United Kingdom
Yu‐Chien Wu United States
Eva Palacios relative to Scott F. Sorg United States Scott F. Sorg's profile →
Citations per field
00.5×6.5×
Scott F. Sorg · 1×
Citations per year

Countries citing papers authored by Eva Palacios

Since Specialization
Citations

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

Fields of papers citing papers by Eva Palacios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202112
2 2020115
3 20205
4 202040
5 201946
6 201914
7 201911
8 20195
9 201798
10 201675
11 201620
12 201520
13 2014109
14 201317
15 2013134
16 201365
17 2012117
18 2012198
19 201270
20 201172

About Eva Palacios

Eva Palacios is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Neurology, Epidemiology and Developmental Neuroscience, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (19 papers), Traumatic Brain Injury Research (12 papers), Functional Brain Connectivity Studies (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Advanced MRI Techniques and Applications (4 papers), Fetal and Pediatric Neurological Disorders (3 papers), Neural dynamics and brain function (2 papers) and Neuroscience and Music Perception (2 papers). The work is most often cited by research in Cognitive Neuroscience (730 citations), Neurology (406 citations), Radiology, Nuclear Medicine and Imaging (615 citations), Epidemiology (621 citations) and Sensory Systems (71 citations). Eva Palacios has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Carme Junqué, Núria Bargalló, Pere Vendrell, Roser Sala‐Llonch, Teresa Roig, Josep M. Tormos, Pratik Mukherjee, Davinia Fernández‐Espejo, Alicia C. Williams and K W Pojunas. Their work appears in journals such as Journal of Neurotrauma, Frontiers in Neurology, Radiology, Frontiers in Human Neuroscience and Cortex.

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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