Daniel Navia

1.2k citations
97 papers · 793 · h-index 16

Impact in

Papers in

Daniel Navia

77 papers receiving 773 citations

Peers

Daniel Navia
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 213
  • Control and Systems Engineering 174
  • Surgery 243
  • Water Science and Technology 69
  • Process Chemistry and Technology 11
Replace Ying Peng with:
Ying Peng China
Yibo Jiang China
Dae-Kyeong Kim South Korea
Yogesh Shah United States
João Rocha Portugal
Ting‐Yung Chang Taiwan
Takumi Inoue Japan
A. Cohen United States
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Daniel Navia relative to Ying Peng China Ying Peng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Navia

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Navia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Navia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Navia Line = papers co-authored together Daniel Navia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199447
2 201844
3 201341
4 200835
5 201532
6 201031
7 201829
8 200922
9 201922
10 202121
11 202020
12 201919
13 202119
14 201618
15 201318
16 201618
17 202115
18 201514
19 201613
20 202013

About Daniel Navia

Daniel Navia is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Control and Systems Engineering, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 97 papers that have together received 793 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (22 papers), Cardiac Valve Diseases and Treatments (21 papers), Cardiac and Coronary Surgery Techniques (19 papers), Fault Detection and Control Systems (14 papers), Aortic Disease and Treatment Approaches (11 papers), Minerals Flotation and Separation Techniques (10 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers) and Mechanical Circulatory Support Devices (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (213 citations), Control and Systems Engineering (174 citations), Surgery (243 citations), Water Science and Technology (69 citations) and Process Chemistry and Technology (11 citations). Daniel Navia has collaborated with scholars based in Argentina, Chile and Spain. Frequent co-authors include Mariano Vrancic, Fernando Piccinini, Mariano Benzadón, Jorge Thierer, Daniel Sarabia, Gloria Gutiérrez, Leonardo Seoane, Pablo R. Brito‐Parada, S.J. Neethling and Lucrecia María Burgos. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery, Computers & Chemical Engineering, Minerals Engineering and European Heart Journal.

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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