Javier Rodríguez

1.5k citations
120 papers · 1.0k · h-index 16

Impact in

Papers in

Javier Rodríguez

90 papers receiving 966 citations

Peers

Javier Rodríguez
Comparison fields: 5 of 135
  • Cancer Research 222
  • Cardiology and Cardiovascular Medicine 200
  • Modeling and Simulation 38
  • Virology 33
  • Molecular Biology 270
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Tony Li Singapore
James L. Chen United States
Sha He China
Bin Zhu United States
Kentaro Matsuura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Javier Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Javier Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Rodríguez, 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 Javier Rodríguez Line = papers co-authored together Javier Rodríguez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009302
2 201058
3 201046
4 199444
5 201340
6 200536
7 201026
8 201023
9 199623
10 201422
11 201020
12 201419
13 201718
14
Nueva metodología física y matemática de evaluación del Holter
200818
15 200917
16 201516
17 200314
18 201513
19 201213
20
Evaluación matemática de la dinámica cardiaca con la teoría de la probabilidad
200911

About Javier Rodríguez

Javier Rodríguez is a scholar working on Cardiology and Cardiovascular Medicine, Economics and Econometrics, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 120 papers that have together received 1.0k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (25 papers), Complex Systems and Time Series Analysis (16 papers), COVID-19 epidemiological studies (7 papers), Cardiac electrophysiology and arrhythmias (5 papers), Blood Pressure and Hypertension Studies (5 papers), HIV Research and Treatment (5 papers), vaccines and immunoinformatics approaches (5 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Cancer Research (222 citations), Cardiology and Cardiovascular Medicine (200 citations), Modeling and Simulation (38 citations), Virology (33 citations) and Molecular Biology (270 citations). Javier Rodríguez has collaborated with scholars based in Colombia, Spain and Ecuador. Frequent co-authors include Catalina Correa, Signed Prieto, J. Solà, Jackeline Agorreta, Juan A. Díaz-González, Jesús García‐Foncillas, Xabi Agirre, Paula C. Jimenez, Natalia Ramírez and Ruth Zárate. Their work appears in journals such as Current HIV Research, Journal of Clinical Oncology, Microscopy Research and Technique, Accident Analysis & Prevention and Pharmacology Research & Perspectives.

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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