Jacob P. VanHouten
- Public Health, Environmental and Occupational Health
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Surgery
- Pediatrics, Perinatology and Child Health
- Co-authors
- Rose A. RuddMichael F. BallesterosKarin A. MackManish K. SethiThomas A. LaskoWilliam T. ObremskeyNikita LakomkinAkhil Garg
- Topics
- Acute Myocardial Infarction Research (3 papers)Machine Learning in Healthcare (2 papers)Hip and Femur Fractures (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaMMWR Morbidity and Mortality Weekly ReportJournal of the American Medical Informatics Association
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Jacob P. VanHouten
15 papers receiving 470 citations
Peers
Comparison fields: 5 of 81
- Public Health, Environmental and Occupational Health 119
- Epidemiology 117
- Cardiology and Cardiovascular Medicine 95
- Surgery 90
- Pediatrics, Perinatology and Child Health 67
Countries citing papers authored by Jacob P. VanHouten
This map shows the geographic impact of Jacob P. VanHouten'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 Jacob P. VanHouten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob P. VanHouten more than expected).
Fields of papers citing papers by Jacob P. VanHouten
This network shows the impact of papers produced by Jacob P. VanHouten. 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 Jacob P. VanHouten. The network helps show where Jacob P. VanHouten may publish in the future.
Co-authorship network of co-authors of Jacob P. VanHouten
This figure shows the co-authorship network connecting the top 25 collaborators of Jacob P. VanHouten. A scholar is included among the top collaborators of Jacob P. VanHouten based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacob P. VanHouten. Jacob P. VanHouten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 145 | |
| 3 | 17 | |
| 4 | 13 | |
| 5 | 44 | |
| 6 | 67 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 13 | |
| 10 | 33 | |
| 11 | 33 | |
| 12 | 3 | |
| 13 | 15 | |
| 14 | Machine learning for risk prediction of acute coronary syndrome. | 32 |
| 15 | 10 |
About Jacob P. VanHouten
Jacob P. VanHouten is a scholar working on Health Informatics, Health Information Management and Emergency Medicine, having authored 15 papers that have together received 483 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (3 papers), Machine Learning in Healthcare (2 papers) and Hip and Femur Fractures (2 papers). The work is most often cited by research in Health Informatics (23 citations), Health Information Management (43 citations) and Internal Medicine (35 citations). Jacob P. VanHouten has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Rose A. Rudd, Michael F. Ballesteros, Karin A. Mack, Manish K. Sethi, Thomas A. Lasko, William T. Obremskey, Nikita Lakomkin, Akhil Garg, Sarah E. Greenberg and Thao Huynh. Their work appears in journals such as SHILAP Revista de lepidopterología, MMWR Morbidity and Mortality Weekly Report and Journal of the American Medical Informatics Association.
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.