Daniel Abásolo

5.8k citations
111 papers · 4.2k · h-index 34

Impact in

Papers in

Daniel Abásolo

106 papers receiving 4.0k citations

Peers

Daniel Abásolo
Comparison fields: 5 of 136
  • Cognitive Neuroscience 2.2k
  • Cardiology and Cardiovascular Medicine 864
  • Signal Processing 423
  • Ophthalmology 177
  • Radiology, Nuclear Medicine and Imaging 399
Replace Shanbao Tong with:
Shanbao Tong China
Jesús Poza Spain
Conor Heneghan Ireland
Choo Min Lim Singapore
Ganesh R. Naik Australia
Roberto Hornero Spain
Mauro Ursino Italy
Andreas Voss Germany
Tapio Seppänen Finland
Bob W. van Dijk Netherlands
Daniel Abásolo relative to Shanbao Tong China Shanbao Tong's profile →
Citations per field
00.5×5.4×
Shanbao Tong · 1×
Citations per year

Countries citing papers authored by Daniel Abásolo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Abásolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006296
2 2006264
3 2017260
4 2005222
5 2006206
6 2005205
7 2008153
8 2008138
9 2008133
10 2007122
11 2005111
12 2008110
13 201891
14 200690
15 201088
16 200787
17 200685
18 201580
19 202163
20 200963

About Daniel Abásolo

Daniel Abásolo is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Signal Processing and Biomedical Engineering, having authored 111 papers that have together received 4.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (59 papers), Neural dynamics and brain function (44 papers), Functional Brain Connectivity Studies (29 papers), Heart Rate Variability and Autonomic Control (26 papers), Blind Source Separation Techniques (10 papers), Fractal and DNA sequence analysis (9 papers), Complex Systems and Time Series Analysis (8 papers) and Cerebrospinal fluid and hydrocephalus (7 papers). The work is most often cited by research in Cognitive Neuroscience (2.2k citations), Cardiology and Cardiovascular Medicine (864 citations), Signal Processing (423 citations), Ophthalmology (177 citations) and Radiology, Nuclear Medicine and Imaging (399 citations). Daniel Abásolo has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Roberto Hornero, Javier Escudero, Pedro Espino, Carlos Gómez, Daniel Álvarez, Alberto Fernández, Jesús Poza, Mateo Aboy, Clara I. Sá‎nchez and María García. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Physiological Measurement, Computer Methods and Programs in Biomedicine, Clinical Neurophysiology and Annals of Biomedical Engineering.

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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