Philip Warrick

1.2k total citations
65 papers, 866 citations indexed

About

Philip Warrick is a scholar working on Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Philip Warrick has authored 65 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Pediatrics, Perinatology and Child Health, 20 papers in Cardiology and Cardiovascular Medicine and 20 papers in Biomedical Engineering. Recurrent topics in Philip Warrick's work include Neonatal and fetal brain pathology (40 papers), Non-Invasive Vital Sign Monitoring (18 papers) and Neonatal Respiratory Health Research (12 papers). Philip Warrick is often cited by papers focused on Neonatal and fetal brain pathology (40 papers), Non-Invasive Vital Sign Monitoring (18 papers) and Neonatal Respiratory Health Research (12 papers). Philip Warrick collaborates with scholars based in Canada, United States and Venezuela. Philip Warrick's co-authors include Emily Hamilton, Masun Nabhan Homsi, Robert E. Kearney, Doina Precup, Samuel Smith, Thomas J. Garite, Steven L. Clark, Ernest M. Graham, Antonio Ciampi and W. Robert J. Funnell and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Journal of Pharmacology and Experimental Therapeutics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Philip Warrick

62 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Warrick Canada 16 489 367 213 181 141 65 866
Antoniya Georgieva United Kingdom 16 512 1.0× 331 0.9× 136 0.6× 149 0.8× 78 0.6× 47 722
Jiří Spilka Czechia 14 629 1.3× 380 1.0× 324 1.5× 346 1.9× 29 0.2× 31 872
Václav Chudáček Czechia 14 584 1.2× 359 1.0× 350 1.6× 336 1.9× 21 0.1× 35 875
M. Moulden United Kingdom 22 1.2k 2.6× 774 2.1× 399 1.9× 232 1.3× 318 2.3× 33 1.6k
Kevin J. Dalton United Kingdom 14 413 0.8× 210 0.6× 164 0.8× 73 0.4× 152 1.1× 37 774
Michal Huptych Czechia 16 403 0.8× 272 0.7× 242 1.1× 462 2.6× 22 0.2× 54 959
Jenny A. Westgate New Zealand 20 965 2.0× 616 1.7× 139 0.7× 71 0.4× 210 1.5× 34 1.1k
Miroslav Burša Czechia 7 276 0.6× 171 0.5× 107 0.5× 134 0.7× 15 0.1× 18 409
Kenny McCormick United Kingdom 22 1.2k 2.5× 874 2.4× 505 2.4× 385 2.1× 528 3.7× 36 2.3k
R. Mantel Netherlands 11 282 0.6× 175 0.5× 122 0.6× 91 0.5× 18 0.1× 15 350

Countries citing papers authored by Philip Warrick

Since Specialization
Citations

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

Fields of papers citing papers by Philip Warrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Warrick. 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 Philip Warrick. The network helps show where Philip Warrick may publish in the future.

Co-authorship network of co-authors of Philip Warrick

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Warrick. A scholar is included among the top collaborators of Philip Warrick 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 Philip Warrick. Philip Warrick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Däumer, Martin, Martin G. Frasch, Austin Ugwumadu, et al.. (2025). Advancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care. BJOG An International Journal of Obstetrics & Gynaecology. 132(7). 853–866.
2.
Zhang, Emily, et al.. (2024). Layout-Invariant U-Net Segmentation for Time-Series Reconstruction from Noisy ECG Images. Computing in cardiology. 51.
3.
Hamilton, Emily, Philip Warrick, Adi L. Tarca, et al.. (2024). New labor curves of dilation and station to improve the accuracy of predicting labor progress. American Journal of Obstetrics and Gynecology. 231(1). 1–18. 7 indexed citations
4.
Hamilton, Emily, et al.. (2024). Data-Driven Insights into Labor Progression with Gaussian Processes. Bioengineering. 11(1). 73–73. 1 indexed citations
5.
Wu, Yvonne W., Michael W. Kuzniewicz, Marie‐Coralie Cornet, et al.. (2023). Prediction of Hypoxic-Ischemic Encephalopathy Using Events in Fetal Heart Rate and Uterine Pressure. Computing in cardiology. 50. 3 indexed citations
6.
Warrick, Philip, Vincent Lostanlen, Michael Eickenberg, et al.. (2022). Arrhythmia classification of 12-lead and reduced-lead electrocardiograms via recurrent networks, scattering, and phase harmonic correlation. Physiological Measurement. 43(9). 94002–94002. 4 indexed citations
7.
Warrick, Philip, et al.. (2020). Arrhythmia classification of 12-lead Electrocardiograms by Hybrid Scattering-LSTM networks. Computing in cardiology. 47. 12 indexed citations
8.
Warrick, Philip, Vincent Lostanlen, & Masun Nabhan Homsi. (2019). Hybrid scattering-LSTM networks for automated detection of sleep arousals. Physiological Measurement. 40(7). 74001–74001. 18 indexed citations
9.
Behar, Joachim A., Zeev Weiner, & Philip Warrick. (2019). Special Session on Computational Fetal Monitoring. Computing in Cardiology Conference. 1–4. 1 indexed citations
10.
Warrick, Philip & Masun Nabhan Homsi. (2018). Sleep Arousal Detection From Polysomnography Using the Scattering Transform and Recurrent Neural Networks. Computing in cardiology. 45. 12 indexed citations
11.
Clark, Steven L., et al.. (2017). The Limits of Electronic Fetal Heart Rate Monitoring in the Prevention of Neonatal Metabolic Acidemia. Obstetrical & Gynecological Survey. 72(6). 325–326.
12.
Warrick, Philip & Emily Hamilton. (2014). Discrimination of normal and at-risk populations from fetal heart rate variability. Computing in Cardiology. 1001–1004. 2 indexed citations
13.
Warrick, Philip & Emily Hamilton. (2012). Fetal heart-rate variability response to uterine contractions during labour and delivery. Computing in Cardiology. 417–420. 11 indexed citations
14.
Warrick, Philip & Emily Hamilton. (2011). Subspace detection of the impulse response function from intra-partum cardiotocography. PubMed. 2011. 5678–5681. 2 indexed citations
15.
Hamilton, Emily, et al.. (2011). Third- and fourth-degree perineal lacerations: defining high-risk clinical clusters. American Journal of Obstetrics and Gynecology. 204(4). 309.e1–309.e6. 42 indexed citations
16.
Warrick, Philip, Emily Hamilton, Doina Precup, & Robert E. Kearney. (2010). Classification of Normal and Hypoxic Fetuses From Systems Modeling of Intrapartum Cardiotocography. IEEE Transactions on Biomedical Engineering. 57(4). 771–779. 96 indexed citations
17.
Warrick, Philip, et al.. (2009). Graded classification of fetal heart rate tracings: association with neonatal metabolic acidosis and neurologic morbidity. American Journal of Obstetrics and Gynecology. 202(3). 258.e1–258.e8. 69 indexed citations
18.
Warrick, Philip, Emily Hamilton, Doina Precup, & Robert E. Kearney. (2008). Detecting the temporal extent of the impulse response function from intra-partum cardiotocography for normal and hypoxic fetuses. PubMed. 33. 2797–2800. 1 indexed citations
19.
Warrick, Philip, Robert E. Kearney, Doina Precup, & Emily Hamilton. (2006). System-identification noise suppression for intra-partum cardiotocography to discriminate normal and hypoxic fetuses. Computing in Cardiology Conference. 937–940. 7 indexed citations
20.
Rubin, Alan, et al.. (1972). PHYSIOLOGICAL DISPOSITION OF FENOPROFEN IN MAN. III. METABOLISM AND PROTEIN BINDING OF FENOPROFEN. Journal of Pharmacology and Experimental Therapeutics. 183(2). 449–457. 15 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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