Daniel E. Hurtado

2.3k total citations · 1 hit paper
72 papers, 1.5k citations indexed

About

Daniel E. Hurtado is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Daniel E. Hurtado has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 24 papers in Cardiology and Cardiovascular Medicine and 18 papers in Biomedical Engineering. Recurrent topics in Daniel E. Hurtado's work include Respiratory Support and Mechanisms (17 papers), Cardiac electrophysiology and arrhythmias (12 papers) and Elasticity and Material Modeling (12 papers). Daniel E. Hurtado is often cited by papers focused on Respiratory Support and Mechanisms (17 papers), Cardiac electrophysiology and arrhythmias (12 papers) and Elasticity and Material Modeling (12 papers). Daniel E. Hurtado collaborates with scholars based in Chile, United States and Spain. Daniel E. Hurtado's co-authors include Ellen Kuhl, Francisco Sahli Costabal, Paris Perdikaris, Yibo Yang, Jaime Retamal, M. Ortíz, Sergio Uribe, Pablo Cruces, Sebastián Castro and Mauricio A. Sarabia‐Vallejos and has published in prestigious journals such as Scientific Reports, Earth and Planetary Science Letters and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Daniel E. Hurtado

70 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Physics-Informed Neural Networks for Cardiac Activation Mapping

2020 263 citations Francisco Sahli Costabal, Paris Perdikaris et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel E. Hurtado Chile	23	503	468	305	209	168	72	1.5k
Jean Hertzberg United States	23	513 1.0×	555 1.2×	288 0.9×	32 0.2×	238 1.4×	82	1.6k
J. Caldwell United Kingdom	21	218 0.4×	393 0.8×	397 1.3×	112 0.5×	505 3.0×	114	1.9k
Ryutaro Himeno Japan	23	230 0.5×	314 0.7×	478 1.6×	37 0.2×	174 1.0×	146	1.8k
Greg W. Burgreen United States	21	358 0.7×	244 0.5×	636 2.1×	85 0.4×	33 0.2×	68	1.6k
Hao Gao United Kingdom	28	293 0.6×	1.0k 2.2×	963 3.2×	81 0.4×	490 2.9×	133	2.0k
Simon Mendez France	23	622 1.2×	269 0.6×	328 1.1×	21 0.1×	128 0.8×	65	1.7k
Christian Vergara Italy	30	516 1.0×	1.2k 2.7×	581 1.9×	149 0.7×	229 1.4×	121	2.8k
Jack Lee United Kingdom	29	353 0.7×	950 2.0×	642 2.1×	48 0.2×	773 4.6×	85	2.2k
Mahdi Esmaily United States	21	304 0.6×	535 1.1×	401 1.3×	51 0.2×	152 0.9×	51	1.5k
M. Anliker Switzerland	24	258 0.5×	620 1.3×	536 1.8×	139 0.7×	419 2.5×	76	2.3k

Countries citing papers authored by Daniel E. Hurtado

Since Specialization

Citations

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

Fields of papers citing papers by Daniel E. Hurtado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Hurtado. 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 Daniel E. Hurtado. The network helps show where Daniel E. Hurtado may publish in the future.

Co-authorship network of co-authors of Daniel E. Hurtado

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Hurtado. A scholar is included among the top collaborators of Daniel E. Hurtado 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 Daniel E. Hurtado. Daniel E. Hurtado 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

Erranz, Benjamín, et al.. (2024). Mechanical and morphological characterization of the emphysematous lung tissue. Acta Biomaterialia. 181. 282–296. 5 indexed citations

Cancino, Jorge, et al.. (2024). Estimation of ventilatory thresholds during exercise using respiratory wearable sensors. npj Digital Medicine. 7(1). 1 indexed citations

Cruces, Pablo, et al.. (2024). A machine-learning regional clustering approach to understand ventilator-induced lung injury: a proof-of-concept experimental study. Intensive Care Medicine Experimental. 12(1). 60–60. 1 indexed citations

Hurtado, Daniel E., et al.. (2023). Multiscale modeling of lung mechanics: From alveolar microstructure to pulmonary function. Journal of the Mechanics and Physics of Solids. 179. 105364–105364. 15 indexed citations

Díaz, Orlando, et al.. (2023). Morphometric analysis of airways in pre-COPD and mild COPD lungs using continuous surface representations of the bronchial lumen. Frontiers in Bioengineering and Biotechnology. 11. 1271760–1271760. 1 indexed citations

Costabal, Francisco Sahli, et al.. (2023). Machine learning modeling of lung mechanics: Assessing the variability and propagation of uncertainty in respiratory-system compliance and airway resistance. Computer Methods and Programs in Biomedicine. 243. 107888–107888. 3 indexed citations

Hurtado, Daniel E., et al.. (2023). Fluid flow migration, rock stress and deformation due to a crustal fault slip in a geothermal system: A poro-elasto-plastic perspective. Earth and Planetary Science Letters. 604. 117994–117994. 4 indexed citations

Uribe, Sergio, et al.. (2023). WarpPINN: Cine-MR image registration with physics-informed neural networks. Medical Image Analysis. 89. 102925–102925. 10 indexed citations

Araos, Joaquín, Luca Lacitignola, Valentina De Monte, et al.. (2021). Evaluation of Lung Aeration and Respiratory System Mechanics in Obese Dogs Ventilated With Tidal Volumes Based on Ideal vs. Current Body Weight. Frontiers in Veterinary Science. 8. 704863–704863. 10 indexed citations

10.

Cruces, Pablo, Jaime Retamal, Daniel E. Hurtado, et al.. (2020). A physiological approach to understand the role of respiratory effort in the progression of lung injury in SARS-CoV-2 infection. Critical Care. 24(1). 494–494. 84 indexed citations

11.

Costabal, Francisco Sahli, Paris Perdikaris, Ellen Kuhl, & Daniel E. Hurtado. (2019). Multi-fidelity classification using Gaussian processes: Accelerating the prediction of large-scale computational models. Computer Methods in Applied Mechanics and Engineering. 357. 112602–112602. 44 indexed citations

12.

Cruces, Pablo, Benjamín Erranz, Mauricio A. Sarabia‐Vallejos, et al.. (2019). Mapping regional strain in anesthetised healthy subjects during spontaneous ventilation. BMJ Open Respiratory Research. 6(1). e000423–e000423. 8 indexed citations

13.

Hurtado, Daniel E., et al.. (2019). Non-invasive continuous respiratory monitoring using temperature-based sensors. Journal of Clinical Monitoring and Computing. 34(2). 223–231. 25 indexed citations

14.

Dux‐Santoy, Lydia, Andrea Guala, Julio Sotelo, et al.. (2019). Low and Oscillatory Wall Shear Stress Is Not Related to Aortic Dilation in Patients With Bicuspid Aortic Valve. Arteriosclerosis Thrombosis and Vascular Biology. 40(1). e10–e20. 22 indexed citations

15.

Cruces, Pablo, et al.. (2017). Renal Decapsulation Prevents Intrinsic Renal Compartment Syndrome in Ischemia-Reperfusion–Induced Acute Kidney Injury: A Physiologic Approach*. Critical Care Medicine. 46(2). 216–222. 19 indexed citations

16.

Costabal, Francisco Sahli, et al.. (2017). The importance of mechano-electrical feedback and inertia in cardiac electromechanics. Computer Methods in Applied Mechanics and Engineering. 320. 352–368. 52 indexed citations

17.

Hurtado, Daniel E., et al.. (2017). Spatial patterns and frequency distributions of regional deformation in the healthy human lung. Biomechanics and Modeling in Mechanobiology. 16(4). 1413–1423. 37 indexed citations

18.

Costabal, Francisco Sahli, Daniel E. Hurtado, & Ellen Kuhl. (2015). Generating Purkinje networks in the human heart. Journal of Biomechanics. 49(12). 2455–2465. 79 indexed citations

19.

Cruces, Pablo, et al.. (2014). The renal compartment: a hydraulic view. Intensive Care Medicine Experimental. 2(1). 26–26. 41 indexed citations

20.

Hurtado, Daniel E. & Ellen Kuhl. (2012). Computational modelling of electrocardiograms: repolarisation and T-wave polarity in the human heart. Computer Methods in Biomechanics & Biomedical Engineering. 17(9). 986–996. 31 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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