Daniel Álvarez
- Endocrine and Autonomic Systems top 0.5%
- Neuroscience of respiration and sleep 54
- Physiology top 1%
- Obstructive Sleep Apnea Research 91
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 14
- Signal Processing top 2%
- Biomedical Engineering top 2%
- Non-Invasive Vital Sign Monitoring 58
- Advanced Chemical Sensor Technologies 9
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- Heart Rate Variability and Autonomic Control 17
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- Respiratory Support and Mechanisms 7
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- Neuroscience and Neural Engineering 7
- Co-authors
- Roberto HorneroFélix del CampoDaniel AbásoloGonzalo C. Gutiérrez‐TobalJ. Víctor MarcosCarlos ZamarrónMateo AboyDavid Gozal
- Journals
- Physiological Measurement (8 papers)IEEE Transactions on Biomedical Engineering (5 papers)Advances in experimental medicine and biology (4 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Daniel Álvarez
124 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 131
- Endocrine and Autonomic Systems 869
- Physiology 1.7k
- Cognitive Neuroscience 990
- Signal Processing 258
- Biomedical Engineering 1.0k
Countries citing papers authored by Daniel Álvarez
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2022 | 5 | |
| 3 | 2021 | 17 | |
| 4 | 2021 | 46 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 10 | |
| 12 | 2017 | 22 | |
| 13 | 2016 | 52 | |
| 14 | 2013 | 2 | |
| 15 | 2012 | 37 | |
| 16 | 2011 | 12 | |
| 17 | 2010 | 4 | |
| 18 | 2007 | 11 | |
| 19 | 2006 | 90 | |
| 20 | 2006 | 263 |
About Daniel Álvarez
Daniel Álvarez is a scholar working on Endocrine and Autonomic Systems, Physiology and Biomedical Engineering, having authored 129 papers that have together received 3.1k indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (91 papers), Non-Invasive Vital Sign Monitoring (58 papers), Neuroscience of respiration and sleep (54 papers), Heart Rate Variability and Autonomic Control (17 papers), EEG and Brain-Computer Interfaces (14 papers), Advanced Chemical Sensor Technologies (9 papers), Respiratory Support and Mechanisms (7 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (869 citations), Physiology (1.7k citations) and Cognitive Neuroscience (990 citations). Daniel Álvarez has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Roberto Hornero, Félix del Campo, Daniel Abásolo, Gonzalo C. Gutiérrez‐Tobal, J. Víctor Marcos, Carlos Zamarrón, Mateo Aboy, David Gozal, Javier Gómez‐Pilar and Rebeca Corralejo. Their work appears in journals such as Physiological Measurement, IEEE Transactions on Biomedical Engineering, Advances in experimental medicine and biology, Computers in Biology and Medicine 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.