D. Ruppert
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods in Epidemiology
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Advanced Causal Inference Techniques
- Probability and Statistical Research
- Statistical Methods and Applications
- Applied Mathematics top 5%
- Statistical and numerical algorithms
Papers in
-
- Advanced Statistical Methods and Models 4
- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 2
- Advanced Causal Inference Techniques 2
- Statistical Methods in Epidemiology 2
-
- Statistical and numerical algorithms 3
- Co-authors
- Raymond James Carroll (10 shared papers)Leonard A. Stefanski (9 shared papers)Ben Armstrong (1 shared paper)Sanford Weisberg (1 shared paper)
- Journals
- Technometrics (2 papers)Biometrics (1 paper)Springer eBooks (7 papers)
- Partner nations
- United Kingdom
In The Last Decade
D. Ruppert
8 papers receiving 1.3k citations
D. Ruppert's Hit Papers
Peers
Comparison fields: 5 of 128
- Statistics and Probability 943
- Applied Mathematics 169
- Health, Toxicology and Mutagenesis 78
- Statistics, Probability and Uncertainty 38
- Management Science and Operations Research 64
Countries citing papers authored by D. Ruppert
This map shows the geographic impact of D. Ruppert'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 D. Ruppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Ruppert more than expected).
Fields of papers citing papers by D. Ruppert
This network shows the impact of papers produced by D. Ruppert. 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 D. Ruppert. The network helps show where D. Ruppert may publish in the future.
Co-authors
The 4 scholars most cited alongside D. Ruppert, 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 | Measurement Error in Nonlinear Models Hit paper breakdown → | 1995 | 1362 |
| 2 | 1997 | 30 | |
| 3 | 1995 | 17 | |
| 4 | 1997 | 5 | |
| 5 | 1995 | 4 | |
| 6 | 1990 | 3 | |
| 7 | 1995 | 3 | |
| 8 | 1995 | 2 | |
| 9 | 1995 | 1 | |
| 10 | 1995 | 0 |
About D. Ruppert
D. Ruppert is a scholar working on Statistics and Probability, Applied Mathematics, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical and numerical algorithms (3 papers), Statistical Methods and Inference (2 papers), Advanced Causal Inference Techniques (2 papers) and Statistical Methods in Epidemiology (2 papers). The work is most often cited by research in Statistics and Probability (943 citations), Applied Mathematics (169 citations), Health, Toxicology and Mutagenesis (78 citations), Statistics, Probability and Uncertainty (38 citations) and Management Science and Operations Research (64 citations). D. Ruppert has collaborated with scholars based in United Kingdom. Frequent co-authors include Raymond James Carroll, Leonard A. Stefanski, Ben Armstrong and Sanford Weisberg. Their work appears in journals such as Technometrics, Biometrics and Springer eBooks.
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.