R.G. Mark

1.0k citations
22 papers · 798 · h-index 11

Impact in

Papers in

R.G. Mark

22 papers receiving 766 citations

Peers

R.G. Mark
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 369
  • Physiology 255
  • Cognitive Neuroscience 200
  • Signal Processing 97
  • Biomedical Engineering 364
Replace Willemijn Groenendaal with:
Willemijn Groenendaal Netherlands
Haitham M. Al-Angari United Arab Emirates
C. Zywietz Germany
Şebnem Yosunkaya Türkiye
Violeta Monasterio Spain
Syed Khairul Bashar United States
Sajad Mousavi United States
Remo Mueller United States
Shiqiang Tao United States
Xavier Aubert Germany
R.G. Mark relative to Willemijn Groenendaal Netherlands Willemijn Groenendaal's profile →
Citations per field
00.5×5.7×
Willemijn Groenendaal · 1×
Citations per year

Countries citing papers authored by R.G. Mark

Since Specialization
Citations

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

Fields of papers citing papers by R.G. Mark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.G. Mark. 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 R.G. Mark. The network helps show where R.G. Mark may publish in the future.

Co-authors

The 23 scholars most cited alongside R.G. Mark, 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 R.G. Mark Line = papers co-authored together R.G. Mark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002352
2 200695
3 198452
4 201150
5 200249
6
Improved detection and classification of arrhythmias in noise-corrupted electrocardiograms using contextual information within an expert system.
199234
7 200532
8 200329
9 199022
10
A Hypotensive Episode Predictor for Intensive Care based on Heart Rate and Blood Pressure Time Series.
201120
11 201215
12 199310
13 200310
14 20027
15 20156
16
The Effect of Signal Quality on Six Cardiac Output Estimators.
20095
17 20034
18 20022
19 20021
20 20111

About R.G. Mark

R.G. Mark is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery, Signal Processing and Cognitive Neuroscience, having authored 22 papers that have together received 798 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (10 papers), Non-Invasive Vital Sign Monitoring (7 papers), Hemodynamic Monitoring and Therapy (5 papers), ECG Monitoring and Analysis (4 papers), Cardiovascular Health and Disease Prevention (3 papers), EEG and Brain-Computer Interfaces (3 papers), Time Series Analysis and Forecasting (3 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (369 citations), Physiology (255 citations), Cognitive Neuroscience (200 citations), Signal Processing (97 citations) and Biomedical Engineering (364 citations). R.G. Mark has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include G.B. Moody, Ary L. Goldberger, J. H. Peter, Thomas Penzel, Andrew Reisner, Dawn A. Israel, David J. Edell, Ramakrishna Mukkamala, Richard J. Cohen and William H. Barry. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, American Journal of Physiology-Heart and Circulatory Physiology, Critical Care, PubMed and DSpace@MIT (Massachusetts Institute of Technology).

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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