Javier Cabrera

2.3k citations
74 papers · 1.7k · h-index 21

Impact in

Papers in

    • Statistical Distribution Estimation and Applications 9
    • Statistical Methods in Clinical Trials 5
    • Advanced Statistical Methods and Models 5
    • Statistical Methods and Inference 5
    • Probability and Statistical Research 3
    • Blood Pressure and Hypertension Studies 6
    • Acute Myocardial Infarction Research 5

Javier Cabrera

68 papers receiving 1.7k citations

Peers

Javier Cabrera
Comparison fields: 5 of 137
  • Statistics and Probability 260
  • Rehabilitation 51
  • Cardiology and Cardiovascular Medicine 185
  • Physiology 167
  • Anesthesiology and Pain Medicine 46
Replace Robert P. Treviño with:
Robert P. Treviño United States
Mengling Feng Singapore
Jun Kim United States
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Evangelia Christodoulou Germany
Jian Qing Shi United Kingdom
Xulei Liu United States
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Javier Cabrera relative to Robert P. Treviño United States Robert P. Treviño's profile →
Citations per field
00.5×5×10×12.8×
Robert P. Treviño · 1×
Citations per year

Countries citing papers authored by Javier Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by Javier Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012199
2 2013184
3 1987162
4 1995159
5 2018116
6 201499
7 199652
8 201847
9 202047
10 200246
11 201944
12 201341
13 201839
14 201233
15 201333
16 202030
17 201929
18 201625
19 202225
20 201222

About Javier Cabrera

Javier Cabrera is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine, Health Information Management, Epidemiology and Obstetrics and Gynecology, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (9 papers), Blood Pressure and Hypertension Studies (6 papers), Acute Myocardial Infarction Research (5 papers), Statistical Methods in Clinical Trials (5 papers), Advanced Statistical Methods and Models (5 papers), Statistical Methods and Inference (5 papers), Artificial Intelligence in Healthcare (4 papers) and Probability and Statistical Research (3 papers). The work is most often cited by research in Statistics and Probability (260 citations), Rehabilitation (51 citations), Cardiology and Cardiovascular Medicine (185 citations), Physiology (167 citations) and Anesthesiology and Pain Medicine (46 citations). Javier Cabrera has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include John B. Kostis, William J. Kostis, Ginger Watson, Peter M. Hall, Jerry Cheng, Birol Emir, Kwok‐Leung Tsui, Catherine Hurley, Jeanne M. Dobrzynski and Dianne Cook. Their work appears in journals such as The American Journal of Cardiology, Journal of the American College of Cardiology, Journal of Statistical Planning and Inference, Statistics in Biopharmaceutical Research and International Journal of Cardiology Cardiovascular Risk and Prevention.

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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