Alvaro Ulloa

1.8k total citations · 1 hit paper
20 papers, 740 citations indexed

About

Alvaro Ulloa is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Alvaro Ulloa has authored 20 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Alvaro Ulloa's work include Machine Learning in Healthcare (3 papers), Blind Source Separation Techniques (3 papers) and Advanced MRI Techniques and Applications (3 papers). Alvaro Ulloa is often cited by papers focused on Machine Learning in Healthcare (3 papers), Blind Source Separation Techniques (3 papers) and Advanced MRI Techniques and Applications (3 papers). Alvaro Ulloa collaborates with scholars based in United States and Peru. Alvaro Ulloa's co-authors include Sergey Plis, Alexander Aliper, Alex Zhavoronkov, Artem V. Artemov, Polina Mamoshina, Vince D. Calhoun, Christopher M. Haggerty, Brandon K. Fornwalt, Christopher W. Good and Linyuan Jing and has published in prestigious journals such as Circulation, PLoS ONE and NeuroImage.

In The Last Decade

Alvaro Ulloa

18 papers receiving 722 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.

Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data

2016 363 citations Alexander Aliper, Sergey Plis et al. Molecular Pharmaceutics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alvaro Ulloa United States	10	247	230	141	128	125	20	740
Andrew McNaught United Kingdom	26	777 3.1×	181 0.8×	1.2k 8.3×	46 0.4×	224 1.8×	67	2.8k
Yiming Zhou China	5	104 0.4×	48 0.2×	100 0.7×	18 0.1×	141 1.1×	5	464
Ngan Nguyen Taiwan	14	261 1.1×	110 0.5×	50 0.4×	12 0.1×	53 0.4×	44	725
Duc‐Hau Le Vietnam	18	675 2.7×	209 0.9×	13 0.1×	43 0.3×	48 0.4×	52	1.1k
Yankang Jing United States	9	217 0.9×	231 1.0×	30 0.2×	28 0.2×	35 0.3×	13	476
Julia Weng Taiwan	13	228 0.9×	19 0.1×	32 0.2×	94 0.7×	50 0.4×	21	513
Giovanna Maria Dimitri Italy	12	81 0.3×	51 0.2×	34 0.2×	28 0.2×	94 0.8×	42	374
Feixiong Cheng United States	10	112 0.5×	19 0.1×	90 0.6×	84 0.7×	87 0.7×	17	554
Gianluca Rossato Italy	16	163 0.7×	60 0.3×	164 1.2×	182 1.4×	11 0.1×	34	802

Countries citing papers authored by Alvaro Ulloa

Since Specialization

Citations

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

Fields of papers citing papers by Alvaro Ulloa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alvaro Ulloa

This figure shows the co-authorship network connecting the top 25 collaborators of Alvaro Ulloa. A scholar is included among the top collaborators of Alvaro Ulloa 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 Alvaro Ulloa. Alvaro Ulloa 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

Ulloa, Alvaro, David P. vanMaanen, Linyuan Jing, et al.. (2025). A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment. IEEE Journal of Biomedical and Health Informatics. 29(5). 3762–3771.

Pattichis, Marios S., et al.. (2023). A Review of Machine Learning Methods Applied to Video Analysis Systems. 1161–1165. 2 indexed citations

Ulloa, Alvaro, Sushravya Raghunath, David P. vanMaanen, et al.. (2022). Abstract 11000: Deep Learning Prediction of New-Onset Atrial Fibrillation Using Echocardiography Videos. Circulation. 146(Suppl_1).

Raghunath, Sushravya, John M. Pfeifer, Chris R. Kelsey, et al.. (2022). An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk. Journal of Electrocardiology. 76. 61–65. 6 indexed citations

Zhang, Xiaoyan, Alvaro Ulloa, Joshua V. Stough, et al.. (2022). Generalizability and quality control of deep learning-based 2D echocardiography segmentation models in a large clinical dataset. The International Journal of Cardiovascular Imaging. 38(8). 1685–1697. 3 indexed citations

Ulloa, Alvaro, Linyuan Jing, Christopher W. Good, et al.. (2021). Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality. Nature Biomedical Engineering. 5(6). 546–554. 45 indexed citations

Jing, Linyuan, Alvaro Ulloa, Christopher W. Good, et al.. (2020). A Machine Learning Approach to Management of Heart Failure Populations. JACC Heart Failure. 8(7). 578–587. 47 indexed citations

Lewine, Jeffrey D., Sergey Plis, Alvaro Ulloa, et al.. (2019). Quantitative EEG Biomarkers for Mild Traumatic Brain Injury. Journal of Clinical Neurophysiology. 36(4). 298–305. 45 indexed citations

Raghunath, Sushravya, Alvaro Ulloa, Dustin N. Hartzel, et al.. (2019). Deep neural networks can predict one-year mortality and incident atrial fibrillation from raw 12-lead electrocardiogram voltage data. Journal of Electrocardiology. 57. S104–S105. 2 indexed citations

10.

Arbabshirani, Mohammad R., et al.. (2019). Automatic Classification of Radiological Report for Intracranial Hemorrhage. 187–190. 15 indexed citations

11.

Samad, Manar D., Alvaro Ulloa, Gregory J Wehner, et al.. (2018). Predicting Survival From Large Echocardiography and Electronic Health Record Datasets. JACC. Cardiovascular imaging. 12(4). 681–689. 111 indexed citations

12.

Ulloa, Alvaro, Christopher W. Good, David P. vanMaanen, et al.. (2018). A deep neural network predicts survival after heart imaging better than cardiologists.. 2 indexed citations

13.

Aliper, Alexander, Sergey Plis, Artem V. Artemov, et al.. (2016). Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data. Molecular Pharmaceutics. 13(7). 2524–2530. 363 indexed citations breakdown →

14.

Ulloa, Alvaro, Sergey Plis, Erik B. Erhardt, & Vince D. Calhoun. (2015). Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia. 1–6. 19 indexed citations

15.

Castro, Eduardo, Alvaro Ulloa, Sergey Plis, Jessica A. Turner, & Vince D. Calhoun. (2015). Generation of synthetic structural magnetic resonance images for deep learning pre-training. 15. 1057–1060. 13 indexed citations

16.

Vergara, Victor M., et al.. (2014). A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function. NeuroImage. 98. 386–394. 43 indexed citations

17.

Chen, Jiayu, Vince D. Calhoun, Alvaro Ulloa, & Jingyu Liu. (2014). Parallel ICA with multiple references: A semi-blind multivariate approach. PubMed. 2014. 6659–6662. 5 indexed citations

18.

Ulloa, Alvaro, Jingyu Liu, Victor M. Vergara, et al.. (2014). Three-way parallel independent component analysis for imaging genetics using multi-objective optimization. PubMed. 2014. 6651–6654. 1 indexed citations

19.

Ulloa, Alvaro, Jiayu Chen, Victor M. Vergara, Vince D. Calhoun, & Jingyu Liu. (2014). Association Between Copy Number Variation Losses and Alcohol Dependence Across African American and European American Ethnic Groups. Alcoholism Clinical and Experimental Research. 38(5). 1266–1274. 5 indexed citations

20.

Liu, Jingyu, Alvaro Ulloa, Nora I. Perrone‐Bizzozero, et al.. (2012). A Pilot Study on Collective Effects of 22q13.31 Deletions on Gray Matter Concentration in Schizophrenia. PLoS ONE. 7(12). e52865–e52865. 13 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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