David H. Young
Impact in
- Statistics and Probability top 2%
- Statistical Distribution Estimation and Applications
- Emergency Medicine top 5%
- Trauma and Emergency Care Studies
Papers in
-
- Statistical Distribution Estimation and Applications 18
- Advanced Statistical Methods and Models 14
- Statistical Methods and Inference 7
- Statistical Methods and Bayesian Inference 6
-
- Trauma and Emergency Care Studies 8
- Emergency and Acute Care Studies 3
- Co-authors
- William R. SchillerMalayappa JeevanandamHeinrich KaussHarald KöhleG.F. PeggSaad T. BakirNancy E. KraussE. L. MICHELOTTI
- Journals
- Biometrika (13 papers)Journal of Statistical Computation and Simulation (6 papers)The American Journal of Surgery (3 papers)Metabolism (3 papers)Technometrics (3 papers)
- Partner nations
- United StatesUnited KingdomKuwait
In The Last Decade
David H. Young
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 139
- Statistics and Probability 180
- Emergency Medicine 186
- Nutrition and Dietetics 165
- Cell Biology 147
- Biomaterials 105
Countries citing papers authored by David H. Young
This map shows the geographic impact of David H. Young'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 H. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Young more than expected).
Fields of papers citing papers by David H. Young
This network shows the impact of papers produced by David H. Young. 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 H. Young. The network helps show where David H. Young may publish in the future.
Co-authors
The 25 scholars most cited alongside David H. Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 9 | |
| 2 | 2014 | 23 | |
| 3 | 2013 | 28 | |
| 4 | 2006 | 12 | |
| 5 | 1992 | 72 | |
| 6 | 1991 | 1 | |
| 7 | TRIP GENERATION PROCEDURE FOR AREAS WITH STRUCTURALLY DIFFERENT SOCIOECONOMIC GROUPS | 1991 | 3 |
| 8 | 1991 | 118 | |
| 9 | 1990 | 22 | |
| 10 | 1990 | 45 | |
| 11 | 1990 | 25 | |
| 12 | 1990 | 18 | |
| 13 | 1989 | 2 | |
| 14 | 1989 | 55 | |
| 15 | 1989 | 21 | |
| 16 | 1989 | 34 | |
| 17 | 1989 | 10 | |
| 18 | 1987 | 2 | |
| 19 | 1986 | 9 | |
| 20 | 1986 | 3 |
About David H. Young
David H. Young is a scholar working on Statistics and Probability, Emergency Medicine, Statistics, Probability and Uncertainty, Critical Care and Intensive Care Medicine and Biochemistry, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (18 papers), Advanced Statistical Methods and Models (14 papers), Trauma and Emergency Care Studies (8 papers), Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (6 papers), Bayesian Methods and Mixture Models (5 papers), Injury Epidemiology and Prevention (3 papers) and Emergency and Acute Care Studies (3 papers). The work is most often cited by research in Statistics and Probability (180 citations), Emergency Medicine (186 citations), Nutrition and Dietetics (165 citations), Cell Biology (147 citations) and Biomaterials (105 citations). David H. Young has collaborated with scholars based in United States, United Kingdom and Kuwait. Frequent co-authors include William R. Schiller, Malayappa Jeevanandam, Heinrich Kauss, Harald Köhle, G.F. Pegg, Saad T. Bakir, Nancy E. Krauss, E. L. MICHELOTTI, Charles S. Swindell and Robert Knox. Their work appears in journals such as Biometrika, Journal of Statistical Computation and Simulation, The American Journal of Surgery, Metabolism and Technometrics.
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.