Daniel Lopez-Martinez
Impact in
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- Emotion and Mood Recognition
Papers in
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- Heart Rate Variability and Autonomic Control 2
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- Emotion and Mood Recognition 1
- Co-authors
- Rosalind W. Picard (4 shared papers)Sascha Gruss (1 shared paper)Ayoub Al-Hamadi (1 shared paper)Philipp Werner (1 shared paper)Steffen Walter (1 shared paper)Akane Sano (1 shared paper)Weixuan Chen (1 shared paper)Laura Vardoulakis (1 shared paper)
- Journals
- IEEE Transactions on Affective Computing (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Lecture notes in computer science (1 paper)BMJ Health & Care Informatics (1 paper)PubMed (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel Lopez-Martinez
6 papers receiving 290 citations
Peers
Comparison fields: 5 of 69
- Experimental and Cognitive Psychology 100
- Health Informatics 8
- Cognitive Neuroscience 102
- Anesthesiology and Pain Medicine 21
- Cardiology and Cardiovascular Medicine 62
Countries citing papers authored by Daniel Lopez-Martinez
This map shows the geographic impact of Daniel Lopez-Martinez'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 Lopez-Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lopez-Martinez more than expected).
Fields of papers citing papers by Daniel Lopez-Martinez
This network shows the impact of papers produced by Daniel Lopez-Martinez. 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 Lopez-Martinez. The network helps show where Daniel Lopez-Martinez may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel Lopez-Martinez, 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 | 2019 | 170 | |
| 2 | 2018 | 57 | |
| 3 | 2018 | 52 | |
| 4 | 2022 | 13 | |
| 5 | 2018 | 6 | |
| 6 | 2022 | 2 |
About Daniel Lopez-Martinez
Daniel Lopez-Martinez is a scholar working on Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology, Biomedical Engineering, Nephrology and Pediatrics, Perinatology and Child Health, having authored 6 papers that have together received 300 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Artificial Intelligence in Healthcare (1 paper), Infant Health and Development (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Emotion and Mood Recognition (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (100 citations), Health Informatics (8 citations), Cognitive Neuroscience (102 citations), Anesthesiology and Pain Medicine (21 citations) and Cardiology and Cardiovascular Medicine (62 citations). Daniel Lopez-Martinez has collaborated with scholars based in United States and Germany. Frequent co-authors include Rosalind W. Picard, Sascha Gruss, Ayoub Al-Hamadi, Philipp Werner, Steffen Walter, Akane Sano, Weixuan Chen, Laura Vardoulakis, Keith Morse and David Borsook. Their work appears in journals such as IEEE Transactions on Affective Computing, IEEE Journal of Biomedical and Health Informatics, Lecture notes in computer science, BMJ Health & Care Informatics and PubMed.
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.