Javier Cabrera
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Transportation top 5%
Papers in ⓘ
-
- Blood Pressure and Hypertension Studies 10
- Cardiovascular Health and Disease Prevention 5
- Cardiac Health and Mental Health 4
-
- Advanced Statistical Methods and Models 8
- Statistical Methods and Inference 8
- Co-authors
- John B. Kostis (32 shared papers)William J. Kostis (28 shared papers)Kwok‐Leung Tsui (10 shared papers)G. S. Watson (4 shared papers)Peter Hall (1 shared paper)Birol Emir (5 shared papers)Jerry Cheng (6 shared papers)Jeanne M. Dobrzynski (3 shared papers)
- Journals
- The American Journal of Cardiology (6 papers)Journal of the American College of Cardiology (4 papers)Journal of Statistical Planning and Inference (3 papers)Circulation (2 papers)Biometrika (2 papers)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Javier Cabrera
74 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 173
- Statistics and Probability 178
- Transportation 91
- Cardiology and Cardiovascular Medicine 274
- Automotive Engineering 139
- Neurology 138
Countries citing papers authored by Javier Cabrera
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
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.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 172 | |
| 2 | 2013 | 163 | |
| 3 | 1987 | 136 | |
| 4 | 1995 | 130 | |
| 5 | 2018 | 105 | |
| 6 | 2020 | 99 | |
| 7 | 2014 | 89 | |
| 8 | 2002 | 46 | |
| 9 | 1996 | 46 | |
| 10 | 2020 | 45 | |
| 11 | 2018 | 42 | |
| 12 | 2013 | 38 | |
| 13 | 2018 | 36 | |
| 14 | 2019 | 32 | |
| 15 | 2020 | 30 | |
| 16 | 2012 | 30 | |
| 17 | 2013 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2022 | 23 | |
| 20 | 2020 | 21 |
About Javier Cabrera
Javier Cabrera is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability, Epidemiology, Artificial Intelligence and Surgery, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (10 papers), Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (8 papers), Cardiovascular Health and Disease Prevention (5 papers), Acute Ischemic Stroke Management (4 papers), Cardiac Health and Mental Health (4 papers), Healthcare Policy and Management (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Statistics and Probability (178 citations), Transportation (91 citations), Cardiology and Cardiovascular Medicine (274 citations), Automotive Engineering (139 citations) and Neurology (138 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, Kwok‐Leung Tsui, G. S. Watson, Peter Hall, Birol Emir, Jerry Cheng, Jeanne M. Dobrzynski, Dianne Cook and Didier Bouhassira. 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 Biometrika.
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.