Javier Cabrera

2.5k citations
85 papers · 1.8k · h-index 21

Impact in

Papers in

Javier Cabrera

74 papers receiving 1.7k citations

Peers

Javier Cabrera
Comparison fields: 5 of 167
  • Statistics and Probability 191
  • Transportation 97
  • Automotive Engineering 146
  • Cardiology and Cardiovascular Medicine 211
  • Safety, Risk, Reliability and Quality 75
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Shuai Huang United States
Simone Vantini Italy
Martin Brown United Kingdom
Emilio Soria‐Olivas Spain
Nicolas Vayatis France
Stephan Dreiseitl Austria
Santu Rana Australia
Jinsung Yoon United States
Md Ekrim Hossin Malaysia
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Citations per field
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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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012183
2 2013170
3 1995159
4 1987149
5 2018111
6 2020104
7 201494
8 199651
9 200249
10 202045
11 201844
12 201339
13 201838
14 201935
15 201231
16 202030
17 201325
18 201923
19 202223
20 202022

About Javier Cabrera

Javier Cabrera is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability, Artificial Intelligence, Economics and Econometrics and Surgery, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Advanced Statistical Methods and Models (8 papers), Blood Pressure and Hypertension Studies (7 papers), Cardiovascular Health and Disease Prevention (4 papers), Statistical Methods and Bayesian Inference (3 papers), Advanced Statistical Process Monitoring (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Statistics and Probability (191 citations), Transportation (97 citations), Automotive Engineering (146 citations), Cardiology and Cardiovascular Medicine (211 citations) and Safety, Risk, Reliability and Quality (75 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, G. S. Watson, Kwok‐Leung Tsui, Peter Hall, Jerry Cheng, Birol Emir, Catherine Hurley, Andreas Buja 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, Circulation 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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