David C. Heilbron
- Epidemiology top 5%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Nelson B. SchillerRobyn DwyerEdmond I. EgerHenry L. BennettRichard P. JusterJerome A. MottoRussell K. LarosDennis Wahr
- Topics
- Cardiovascular Function and Risk Factors (5 papers)Statistical Methods and Bayesian Inference (5 papers)Neonatal Respiratory Health Research (5 papers)
- Partner nations
- United StatesGermanyIreland
In The Last Decade
David C. Heilbron
50 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 167
- Epidemiology 541
- Surgery 469
- Cardiology and Cardiovascular Medicine 448
- Pulmonary and Respiratory Medicine 382
- Pediatrics, Perinatology and Child Health 345
Countries citing papers authored by David C. Heilbron
This map shows the geographic impact of David C. Heilbron'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 David C. Heilbron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Heilbron more than expected).
Fields of papers citing papers by David C. Heilbron
This network shows the impact of papers produced by David C. Heilbron. 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 David C. Heilbron. The network helps show where David C. Heilbron may publish in the future.
Co-authorship network of co-authors of David C. Heilbron
This figure shows the co-authorship network connecting the top 25 collaborators of David C. Heilbron. A scholar is included among the top collaborators of David C. Heilbron 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 David C. Heilbron. David C. Heilbron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 107 | |
| 3 | 20 | |
| 4 | 25 | |
| 5 | 56 | |
| 6 | 42 | |
| 7 | 16 | |
| 8 | 224 | |
| 9 | 79 | |
| 10 | 101 | |
| 11 | 11 | |
| 12 | 134 | |
| 13 | 36 | |
| 14 | 1 | |
| 15 | 54 | |
| 16 | 1 | |
| 17 | 52 | |
| 18 | 127 | |
| 19 | Computer Classifications of Clinical Electroencephalograms. | 2 |
| 20 | 24 |
About David C. Heilbron
David C. Heilbron is a scholar working on Statistics and Probability, Developmental Biology and Endocrine and Autonomic Systems, having authored 51 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Statistical Methods and Bayesian Inference (5 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (134 citations), Obstetrics and Gynecology (170 citations) and Statistics and Probability (175 citations). David C. Heilbron has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Nelson B. Schiller, Robyn Dwyer, Edmond I. Eger, Henry L. Bennett, Richard P. Juster, Jerome A. Motto, Russell K. Laros, Dennis Wahr, Jack Gutman and Malcolm A. Holliday. Their work appears in journals such as New England Journal of Medicine, Circulation and American Journal of Psychiatry.
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.