I G Gurtubay

972 citations
44 papers · 713 indexed · h-index 13
Topics
EEG and Brain-Computer Interfaces (14 papers)Neural dynamics and brain function (8 papers)Neuroscience and Neural Engineering (5 papers)
Journals
SHILAP Revista de lepidopterologíaExperimental Brain ResearchClinical Neurophysiology
Partner nations
SpainBelgiumAustria

In The Last Decade

I G Gurtubay

36 papers receiving 695 citations

Peers

I G Gurtubay
Comparison fields: 5 of 86
  • Cognitive Neuroscience 493
  • Cellular and Molecular Neuroscience 175
  • Neurology 128
  • Biomedical Engineering 99
  • Neurology 68
Replace Husam A. Katnani with:
Husam A. Katnani United States
D. Rushton United Kingdom
Camilo Toro United States
W. Koehler Germany
I. Gritti Italy
Hisato Sugata Japan
Larry Shupe United States
M. Knibestöl Sweden
Tomas Johannisson Sweden
Paolo Capelli Switzerland
I G Gurtubay relative to Husam A. Katnani United States Husam A. Katnani's profile →
Citations per field
00.5×1.6×
Husam A. Katnani · 1×
Citations per year

Countries citing papers authored by I G Gurtubay

Since Specialization
Citations

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

Fields of papers citing papers by I G Gurtubay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I G Gurtubay. 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 I G Gurtubay. The network helps show where I G Gurtubay may publish in the future.

Co-authorship network of co-authors of I G Gurtubay

This figure shows the co-authorship network connecting the top 25 collaborators of I G Gurtubay. A scholar is included among the top collaborators of I G Gurtubay 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 I G Gurtubay. I G Gurtubay 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 4
2 12
3 0
4 15
5 0
6 5
7 1
8 1
9 6
10 1
11 3
12 0
13 48
14 85
15 46
16 136
17 78
18 13
19
Development of myasthenia gravis after interferon alpha therapy.
14
20 2

About I G Gurtubay

I G Gurtubay is a scholar working on Cognitive Neuroscience, Neurology and Neurology, having authored 44 papers that have together received 713 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Cognitive Neuroscience (493 citations), Cellular and Molecular Neuroscience (175 citations) and Neurology (128 citations). I G Gurtubay has collaborated with scholars based in Spain, Belgium and Austria. Frequent co-authors include Julio Artieda, Manuel Alegre, Alberto Labarga, J. Iriarte, Armando Malanda, Miguel Valencia, Jorge Iriarte, Pedro Emilio Bermejo, María Herrera and Lídia Sabater. Their work appears in journals such as SHILAP Revista de lepidopterología, Experimental Brain Research and Clinical Neurophysiology.

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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