Joseph K. Eibl

1.9k total citations
65 papers, 1.1k citations indexed

About

Joseph K. Eibl is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Joseph K. Eibl has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Surgery, 20 papers in Cardiology and Cardiovascular Medicine and 18 papers in Biomedical Engineering. Recurrent topics in Joseph K. Eibl's work include Hemodynamic Monitoring and Therapy (27 papers), Non-Invasive Vital Sign Monitoring (17 papers) and Opioid Use Disorder Treatment (15 papers). Joseph K. Eibl is often cited by papers focused on Hemodynamic Monitoring and Therapy (27 papers), Non-Invasive Vital Sign Monitoring (17 papers) and Opioid Use Disorder Treatment (15 papers). Joseph K. Eibl collaborates with scholars based in Canada, United States and Australia. Joseph K. Eibl's co-authors include David C. Marsh, Gregory M. Ross, Graham Gauthier, Kristen A. Morin, Jon‐Émile S. Kenny, Andrew M. Eibl, David Pellegrini, Igor Barjaktarević, Michael Varenbut and John C. Hogenbirk and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Joseph K. Eibl

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph K. Eibl Canada 20 397 329 211 175 157 65 1.1k
Marina Munari Italy 24 256 0.6× 300 0.9× 520 2.5× 174 1.0× 105 0.7× 89 1.8k
Ji Won Yoo United States 23 225 0.6× 188 0.6× 321 1.5× 42 0.2× 73 0.5× 109 1.5k
Barbara J. Philips United Kingdom 22 117 0.3× 308 0.9× 284 1.3× 95 0.5× 93 0.6× 54 1.9k
D. Kimberley Molina United States 18 202 0.5× 143 0.4× 131 0.6× 58 0.3× 106 0.7× 54 1.2k
Simon F.J. Clarke United Kingdom 13 236 0.6× 80 0.2× 249 1.2× 117 0.7× 135 0.9× 26 1000
Takumi Taniguchi Japan 24 84 0.2× 311 0.9× 306 1.5× 133 0.8× 229 1.5× 83 1.9k
Wallis C. Y. Lau Hong Kong 27 238 0.6× 293 0.9× 266 1.3× 39 0.2× 650 4.1× 83 2.1k
Daniel P. Wermeling United States 22 403 1.0× 219 0.7× 160 0.8× 41 0.2× 41 0.3× 56 1.7k
Shasha Bai United States 19 109 0.3× 234 0.7× 178 0.8× 47 0.3× 45 0.3× 118 1.6k
Dirk M. Maybauer United States 24 236 0.6× 627 1.9× 357 1.7× 241 1.4× 224 1.4× 61 1.7k

Countries citing papers authored by Joseph K. Eibl

Since Specialization
Citations

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

Fields of papers citing papers by Joseph K. Eibl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph K. Eibl. 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 Joseph K. Eibl. The network helps show where Joseph K. Eibl may publish in the future.

Co-authorship network of co-authors of Joseph K. Eibl

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph K. Eibl. A scholar is included among the top collaborators of Joseph K. Eibl 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 Joseph K. Eibl. Joseph K. Eibl 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.
Elfarnawany, Mai, Andrew M. Eibl, Joseph K. Eibl, et al.. (2024). The correlation between carotid artery doppler and stroke volume during central blood volume loss and resuscitation. Acute and Critical Care. 39(1). 162–168. 2 indexed citations
2.
Kenny, Jon‐Émile S., Mai Elfarnawany, Zhen Yang, et al.. (2024). A Wireless, Wearable Ultrasound for Assessing Left Ventricular Assist Device Hemodynamics: A Case Series. SN Comprehensive Clinical Medicine. 7(1). 1 indexed citations
3.
Kenny, Jon‐Émile S., Joseph K. Eibl, Vito Fanelli, et al.. (2024). Hemodynamic Insights From Simultaneous Common Carotid and Internal Jugular Doppler Ultrasonography in a Patient With Hypoxemia and Multiple Organ Dysfunction. CHEST Journal. 165(4). e107–e112. 2 indexed citations
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Kenny, Jon‐Émile S., et al.. (2023). The effect of gravity-induced preload change on the venous excess ultrasound (VExUS) score and internal jugular vein Doppler in healthy volunteers. Intensive Care Medicine Experimental. 11(1). 19–19. 14 indexed citations
6.
Kenny, Jon‐Émile S., et al.. (2023). Continuous Venous-Arterial Doppler Ultrasound During a Preload Challenge. Journal of Visualized Experiments. 3 indexed citations
7.
Kenny, Jon‐Émile S., Joseph K. Eibl, Andrew M. Eibl, et al.. (2023). Simultaneous venous–arterial Doppler during preload augmentation: illustrating the Doppler Starling curve. The Ultrasound Journal. 15(1). 32–32. 6 indexed citations
8.
Kenny, Jon‐Émile S., Zhen Yang, Geoffrey D. Clarke, et al.. (2023). Detecting the Change in Total Circulatory Flow with a Wireless, Wearable Doppler Ultrasound Patch: A Pilot Study. Critical Care Explorations. 5(5). e0914–e0914.
9.
Kenny, Jon‐Émile S., Zhen Yang, Geoffrey D. Clarke, et al.. (2023). A Novel Spectral Index for Tracking Preload Change from a Wireless, Wearable Doppler Ultrasound. Diagnostics. 13(9). 1590–1590. 1 indexed citations
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Kenny, Jon‐Émile S., Mai Elfarnawany, Zhen Yang, et al.. (2022). A wireless ultrasound patch detects mild-to-moderate central hypovolemia during lower body negative pressure. The Journal of Trauma: Injury, Infection, and Critical Care. 93(2S). S35–S40. 5 indexed citations
12.
Kenny, Jon‐Émile S., Joseph K. Eibl, Andrew M. Eibl, et al.. (2021). A novel, hands-free ultrasound patch for continuous monitoring of quantitative Doppler in the carotid artery. Scientific Reports. 11(1). 7780–7780. 61 indexed citations
13.
Morin, Kristen A., et al.. (2021). A Retrospective Cohort Study Comparing In-Person and Telemedicine-Based Opioid Agonist Treatment in Ontario, Canada, Using Administrative Health Data. European Addiction Research. 27(4). 268–276. 8 indexed citations
14.
Kenny, Jon‐Émile S., Igor Barjaktarević, David MacKenzie, et al.. (2021). Carotid Doppler Measurement Variability in Functional Hemodynamic Monitoring: An Analysis of 17,822 Cardiac Cycles. Critical Care Explorations. 3(6). e0439–e0439. 17 indexed citations
15.
Morin, Kristen A., et al.. (2020). Evidence of increased Fentanyl use during the COVID-19 pandemic among opioid agonist treatment patients in Ontario, Canada. International Journal of Drug Policy. 90. 103088–103088. 38 indexed citations
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Eibl, Joseph K., et al.. (2017). The impact of cocaine use in patients enrolled in opioid agonist therapy in Ontario, Canada. International Journal of Drug Policy. 48. 1–8. 24 indexed citations
19.
Eibl, Joseph K., Tara Gomes, Diana Martins, et al.. (2015). Evaluating the Effectiveness of First-Time Methadone Maintenance Therapy Across Northern, Rural, and Urban Regions of Ontario, Canada. Journal of Addiction Medicine. 9(6). 440–446. 38 indexed citations
20.
Colquhoun, Amy, Joseph K. Eibl, Karmen M. Krol, Hing Man Chan, & Gregory M. Ross. (2008). Conformational analysis of the effects of methylmercury on nerve growth factor and brain derived neurotrophic factor. Environmental Toxicology and Pharmacology. 27(2). 298–302. 2 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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