Marcelo Risk
Impact in
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- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- Biotechnology top 10%
- Microbial Inactivation Methods
Papers in
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- Heart Rate Variability and Autonomic Control 17
- ECG Monitoring and Analysis 11
-
- Non-Invasive Vital Sign Monitoring 11
- Co-authors
- Roy Freeman (5 shared papers)Daniel Luna (7 shared papers)P. Thomas Vernier (2 shared papers)Ramón Reigada (1 shared paper)Vera Bril (1 shared paper)Carlos Otero (5 shared papers)Alan A. Cohen (1 shared paper)William B. Farquhar (1 shared paper)
- Journals
- Artificial Organs (2 papers)The Annals of Thoracic Surgery (2 papers)Journal of Applied Physiology (2 papers)Metabolomics (1 paper)Emerging Science Journal (1 paper)
- Partner nations
- ArgentinaUnited StatesSpain
In The Last Decade
Marcelo Risk
70 papers receiving 761 citations
Peers
Comparison fields: 5 of 120
- Cardiology and Cardiovascular Medicine 237
- Biotechnology 90
- Cognitive Neuroscience 107
- Physiology 24
- Signal Processing 54
Countries citing papers authored by Marcelo Risk
This map shows the geographic impact of Marcelo Risk'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 Marcelo Risk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Risk more than expected).
Fields of papers citing papers by Marcelo Risk
This network shows the impact of papers produced by Marcelo Risk. 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 Marcelo Risk. The network helps show where Marcelo Risk may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcelo Risk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 84 | |
| 2 | 2001 | 56 | |
| 3 | 2002 | 55 | |
| 4 | 2012 | 54 | |
| 5 | 2017 | 43 | |
| 6 | 2009 | 40 | |
| 7 | 2006 | 36 | |
| 8 | 2015 | 27 | |
| 9 | 2002 | 24 | |
| 10 | 2019 | 23 | |
| 11 | 2017 | 20 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 17 | |
| 14 | 2009 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2002 | 15 | |
| 17 | 2003 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 1999 | 13 | |
| 20 | 2002 | 12 |
About Marcelo Risk
Marcelo Risk is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery, Cognitive Neuroscience and Molecular Biology, having authored 79 papers that have together received 792 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (17 papers), Non-Invasive Vital Sign Monitoring (11 papers), ECG Monitoring and Analysis (11 papers), EEG and Brain-Computer Interfaces (8 papers), Fractal and DNA sequence analysis (5 papers), Blind Source Separation Techniques (4 papers), Electronic Health Records Systems (4 papers) and Sarcoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (237 citations), Biotechnology (90 citations), Cognitive Neuroscience (107 citations), Physiology (24 citations) and Signal Processing (54 citations). Marcelo Risk has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Roy Freeman, Daniel Luna, P. Thomas Vernier, Ramón Reigada, Vera Bril, Carlos Otero, Alan A. Cohen, William B. Farquhar, M. Laura Fernández and J. Philip Saul. Their work appears in journals such as Artificial Organs, The Annals of Thoracic Surgery, Journal of Applied Physiology, Metabolomics and Emerging Science Journal.
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.