R.G. Mark

1.0k total citations
21 papers, 725 citations indexed

About

R.G. Mark is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, R.G. Mark has authored 21 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 9 papers in Biomedical Engineering and 6 papers in Surgery. Recurrent topics in R.G. Mark's work include Heart Rate Variability and Autonomic Control (9 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Hemodynamic Monitoring and Therapy (5 papers). R.G. Mark is often cited by papers focused on Heart Rate Variability and Autonomic Control (9 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Hemodynamic Monitoring and Therapy (5 papers). R.G. Mark collaborates with scholars based in United States, Italy and Germany. R.G. Mark's co-authors include G.B. Moody, Ary L. Goldberger, J. H. Peter, Thomas Penzel, Andrew Reisner, Richard J. Cohen, Ramakrishna Mukkamala, David J. Edell, Dawn A. Israel and William H. Barry and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, American Journal of Physiology-Heart and Circulatory Physiology and Critical Care.

In The Last Decade

R.G. Mark

20 papers receiving 694 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
R.G. Mark United States	11	365	360	240	199	121	21	725
Willemijn Groenendaal Netherlands	16	334 0.9×	278 0.8×	248 1.0×	102 0.5×	134 1.1×	43	819
Syed Khairul Bashar United States	19	370 1.0×	604 1.7×	54 0.2×	413 2.1×	67 0.6×	48	1.1k
Haitham M. Al-Angari United Arab Emirates	11	265 0.7×	268 0.7×	153 0.6×	189 0.9×	16 0.1×	20	702
Şebnem Yosunkaya Türkiye	14	121 0.3×	97 0.3×	253 1.1×	299 1.5×	33 0.3×	50	675
C. Zywietz Germany	10	184 0.5×	484 1.3×	60 0.3×	125 0.6×	65 0.5×	48	613
Violeta Monasterio Spain	11	139 0.4×	340 0.9×	115 0.5×	131 0.7×	25 0.2×	33	541
P. Várady Hungary	8	177 0.5×	132 0.4×	125 0.5×	65 0.3×	32 0.3×	16	424
Remo Mueller United States	5	150 0.4×	116 0.3×	378 1.6×	410 2.1×	14 0.1×	8	823
Martín O. Méndez Italy	16	531 1.5×	335 0.9×	341 1.4×	434 2.2×	61 0.5×	39	916
William Scruggs United States	12	105 0.3×	146 0.4×	24 0.1×	155 0.8×	100 0.8×	24	909

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-authorship network of co-authors of R.G. Mark

This figure shows the co-authorship network connecting the top 25 collaborators of R.G. Mark. A scholar is included among the top collaborators of R.G. Mark based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R.G. Mark. R.G. Mark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Angelotti, Giovanni, et al.. (2018). The Role of Baroreflex Sensitivity in Acute Hypotensive Episodes Prediction in the Intensive Care Unit. PubMed. 101. 2784–2787. 1 indexed citations

Lehman, Li-wei H., Shamim Nemati, Robert P. Adams, & R.G. Mark. (2012). Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU. PubMed. 101. 5939–5942. 14 indexed citations

Moody, G.B., R.G. Mark, & Ary L. Goldberger. (2011). PhysioNet: Physiologic signals, time series and related open source software for basic, clinical, and applied research. PubMed. 2011. 8327–8330. 45 indexed citations

Lee, Joon, et al.. (2011). Validation of the AKIN criteria definition using high-resolution ICU data from the MIMIC-II database. Critical Care. 15(S1). 1 indexed citations

Lee, Joon & R.G. Mark. (2011). A Hypotensive Episode Predictor for Intensive Care based on Heart Rate and Blood Pressure Time Series.. PubMed. 2010(26-29 Sept. 2010). 81–84. 15 indexed citations

Mark, R.G., et al.. (2009). The Effect of Signal Quality on Six Cardiac Output Estimators.. PubMed. 2009(36). 197–200. 4 indexed citations

Mukkamala, Ramakrishna, et al.. (2006). Continuous Cardiac Output Monitoring by Peripheral Blood Pressure Waveform Analysis. IEEE Transactions on Biomedical Engineering. 53(3). 459–467. 91 indexed citations

Sun, James, Andrew Reisner, M. A. Saeed, & R.G. Mark. (2005). Estimating cardiac output from arterial blood pressurewaveforms: a critical evaluation using the MIMIC II database. 295–298. 30 indexed citations

Moody, G.B., et al.. (2003). Detection of ventricular ectopic beats using neural networks. 10. 659–662. 10 indexed citations

10.

Moody, G.B., R.G. Mark, & Ary L. Goldberger. (2003). Evaluation of the 'TRIM' ECG data compressor. 167–170. 28 indexed citations

11.

Saul, J. Philip, et al.. (2003). Monitoring the changes in peripheral vascular resistance using the shape of the radial blood pressure pulse. 23. 567–570.

12.

Mark, R.G., et al.. (2002). Detection of atrial fibrillation using artificial neural networks. 173–176. 43 indexed citations

13.

Mark, R.G., et al.. (2002). Study of arterial pressure waves using a simple tube model of the ventriculo-arterial system. 23. 771–774. 1 indexed citations

14.

Mark, R.G., et al.. (2002). Extracting new information from the shape of the blood pressure pulse. 225–228. 2 indexed citations

15.

Penzel, Thomas, G.B. Moody, R.G. Mark, Ary L. Goldberger, & J. H. Peter. (2002). The apnea-ECG database. 255–258. 321 indexed citations

16.

Moody, G.B., et al.. (2002). Neural networks for ECG compression and classification. 3. 185–188. 7 indexed citations

17.

Mark, R.G., et al.. (1993). Analysis of arterial waves by the single-pulse-response method. IEEE Transactions on Biomedical Engineering. 40(8). 833–836. 10 indexed citations

18.

Greenwald, Scott, et al.. (1992). Improved detection and classification of arrhythmias in noise-corrupted electrocardiograms using contextual information within an expert system.. PubMed. 26(2). 124–32. 33 indexed citations

19.

Israel, Dawn A., David J. Edell, & R.G. Mark. (1990). Time delays in propagation of cardiac action potential. American Journal of Physiology-Heart and Circulatory Physiology. 258(6). H1906–H1917. 22 indexed citations

20.

Israel, Dawn A., William H. Barry, David J. Edell, & R.G. Mark. (1984). An array of microelectrodes to stimulate and record from cardiac cells in culture. American Journal of Physiology-Heart and Circulatory Physiology. 247(4). H669–H674. 43 indexed citations

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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