Eduardo Fernández

12.0k citations
414 papers · 8.2k indexed · h-index 46
Topics
Neuroscience and Neural Engineering (84 papers)EEG and Brain-Computer Interfaces (61 papers)Retinal Development and Disorders (49 papers)

In The Last Decade

Eduardo Fernández

390 papers receiving 7.9k citations

Peers

Eduardo Fernández
Comparison fields: 5 of 214
  • Cellular and Molecular Neuroscience 2.3k
  • Molecular Biology 2.0k
  • Cognitive Neuroscience 1.8k
  • Biomedical Engineering 1.0k
  • Electrical and Electronic Engineering 734
Replace Akhilesh Pandey with:
Akhilesh Pandey United States
Ling Li China
Jeffrey A. Cohen United States
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Eduardo Fernández relative to Akhilesh Pandey United States Akhilesh Pandey's profile →
Citations per field
00.5×6.1×
Akhilesh Pandey · 1×
Citations per year

Countries citing papers authored by Eduardo Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Fernández. A scholar is included among the top collaborators of Eduardo Fernández 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 Eduardo Fernández. Eduardo Fernández 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 2
4 4
5 2
6 12
7 8
8 2
9 0
10 65
11 76
12
Development of a Cortical Visual Neuroprosthesis for the Blind: Preliminary results
3
13 11
14 27
15 5
16 127
17
Pneumatic Rehabilitation Robot: Modeling and Control
1
18
Automated Processing of Post-Mortem Cortex Images Reveals Physiological Changes Associated with Dementia Sub-types
1
19 45
20
Freeze-dried formulation for the direct 99mTc-labeling of ior egf/r3 monoclonal antibody: equivalence studies
1

About Eduardo Fernández

Eduardo Fernández is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Dermatology, having authored 414 papers that have together received 8.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (84 papers), EEG and Brain-Computer Interfaces (61 papers) and Retinal Development and Disorders (49 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Cognitive Neuroscience (1.8k citations) and Immunology and Allergy (470 citations). Eduardo Fernández has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include Helga Kolb, Richard A. Normann, Ralph Nelson, M. Audícana, José Manuel Ferrández, Gema Martı́nez, Cristina Soto‐Sánchez, Herbert Jelinek, José Luís Pedraz and D. Muñoz. Their work appears in journals such as Science, Angewandte Chemie International Edition and Nature Communications.

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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