Daniel Álvarez

136 papers receiving 3.3k citations

Peers

Daniel Álvarez
Comparison fields: 5 of 135
  • Endocrine and Autonomic Systems 701
  • Physiology 1.8k
  • Cognitive Neuroscience 1.0k
  • Signal Processing 261
  • Cardiology and Cardiovascular Medicine 440
Replace Xi Long with:
Xi Long Netherlands
Philip de Chazal Australia
Do‐Un Jeong South Korea
Helge B. D. Sørensen Denmark
Kwang Suk Park South Korea
Sheikh Shanawaz Mostafa Portugal
R. Jané Spain
Alpo Värri Finland
Carolina Varon Belgium
Yaniv Zigel Israel
Daniel Álvarez relative to Xi Long Netherlands Xi Long's profile →
Citations per field
00.5×4.6×
Xi Long · 1×
Citations per year

Countries citing papers authored by Daniel Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006310
2 2006286
3 2010107
4 200691
5 200691
6 202186
7 201573
8 200970
9 200769
10 201664
11 201663
12 201863
13 200961
14 201559
15 201355
16 202055
17 201453
18 201752
19 202151
20 201551

About Daniel Álvarez

Daniel Álvarez is a scholar working on Physiology, Biomedical Engineering, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 145 papers that have together received 3.4k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (96 papers), Non-Invasive Vital Sign Monitoring (57 papers), Neuroscience of respiration and sleep (47 papers), EEG and Brain-Computer Interfaces (17 papers), Heart Rate Variability and Autonomic Control (14 papers), Neuroscience and Neural Engineering (9 papers), Advanced Chemical Sensor Technologies (9 papers) and Cardiovascular Health and Disease Prevention (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (701 citations), Physiology (1.8k citations), Cognitive Neuroscience (1.0k citations), Signal Processing (261 citations) and Cardiology and Cardiovascular Medicine (440 citations). Daniel Álvarez has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Roberto Hornero, Daniel Abásolo, Gonzalo C. Gutiérrez‐Tobal, J. Víctor Marcos, Carlos Zamarrón, Mateo Aboy, David Gozal, Rebeca Corralejo, Javier Gómez‐Pilar and Félix del Campo. Their work appears in journals such as Physiological Measurement, IEEE Transactions on Biomedical Engineering, Computers in Biology and Medicine, Advances in experimental medicine and biology and Computer Methods and Programs in Biomedicine.

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.

Explore authors with similar magnitude of impact