Alvaro Ulloa

42 total papers · 1.8k total citations
20 papers, 731 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 731 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 Advanced MRI Techniques and Applications (3 papers), Machine Learning in Healthcare (3 papers) and Blind Source Separation Techniques (3 papers). Alvaro Ulloa is often cited by papers focused on Advanced MRI Techniques and Applications (3 papers), Machine Learning in Healthcare (3 papers) and Blind Source Separation Techniques (3 papers). Alvaro Ulloa collaborates with scholars based in United States and Peru. Alvaro Ulloa's co-authors include Sergey Plis, Polina Mamoshina, Alexander Aliper, Artem V. Artemov, Alex Zhavoronkov, Vince D. Calhoun, Brandon K. Fornwalt, Dustin N. Hartzel, Christopher M. Haggerty and Christopher W. Good and has published in prestigious journals such as Circulation, PLoS ONE and NeuroImage.

In The Last Decade

Alvaro Ulloa

18 papers receiving 711 citations

Hit Papers

Deep Learning Application... 2016 2026 2019 2022 2016 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alvaro Ulloa 248 231 137 126 121 20 731
Theodore Kee 154 0.6× 117 0.5× 90 0.7× 26 0.2× 58 0.5× 17 810
Alireza Mehridehnavi 133 0.5× 167 0.7× 280 2.0× 38 0.3× 74 0.6× 32 722
Sam Friedman 120 0.5× 45 0.2× 68 0.5× 356 2.8× 51 0.4× 40 756
Michael Farnum 233 0.9× 125 0.5× 46 0.3× 10 0.1× 61 0.5× 20 681
Yongchao Luo 573 2.3× 158 0.7× 31 0.2× 21 0.2× 39 0.3× 25 845
Shanzhuo Zhang 269 1.1× 273 1.2× 57 0.4× 145 1.2× 80 0.7× 14 638
Chang Su 223 0.9× 65 0.3× 38 0.3× 14 0.1× 215 1.8× 26 624
Martin Gardner 46 0.2× 64 0.3× 65 0.5× 480 3.8× 40 0.3× 36 889
Ngan Nguyen 256 1.0× 109 0.5× 50 0.4× 12 0.1× 52 0.4× 44 716
Peipei Ping 438 1.8× 34 0.1× 36 0.3× 56 0.4× 65 0.5× 23 746

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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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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