David S. Stoffer
Impact in
- Statistics and Probability top 0.5%
- Signal Processing top 0.5%
- Time Series Analysis and Forecasting
Papers in
-
- Time Series Analysis and Forecasting 15
- Finance 13
- Financial Risk and Volatility Modeling 11
- Co-authors
- Robert H. ShumwayPeter BloomfieldNicholas G. PolsonBradley P. CarlinNancy L. DayGale A. RichardsonMark S. ScherMarie D. Cornelius
- Journals
- Journal of the American Statistical Association (20 papers)Journal of Time Series Analysis (7 papers)Biometrika (4 papers)Alcoholism Clinical and Experimental Research (3 papers)PEDIATRICS (2 papers)
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
David S. Stoffer
65 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Statistics and Probability 662
- Signal Processing 759
- Finance 621
- Management Science and Operations Research 601
- Pediatrics, Perinatology and Child Health 893
Countries citing papers authored by David S. Stoffer
This map shows the geographic impact of David S. Stoffer'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 S. Stoffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Stoffer more than expected).
Fields of papers citing papers by David S. Stoffer
This network shows the impact of papers produced by David S. Stoffer. 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 S. Stoffer. The network helps show where David S. Stoffer may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Stoffer, 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 | 2025 | 7 | |
| 2 | 2019 | 15 | |
| 3 | Nonlinear time series: theory, methods and applications with R examples | 2014 | 44 |
| 4 | 2012 | 4 | |
| 5 | 2012 | 38 | |
| 6 | Local spectral analysis via a Bayesian mixture of smoothing splines” Journal of the American Statistical Association | 2009 | 1 |
| 7 | 2006 | 6 | |
| 8 | Time Series Analysis and Its Applications (Springer Texts in Statistics) | 2005 | 150 |
| 9 | 2002 | 163 | |
| 10 | 1998 | 5 | |
| 11 | 1996 | 145 | |
| 12 | 1994 | 183 | |
| 13 | 1993 | 54 | |
| 14 | 1992 | 376 | |
| 15 | 1991 | 114 | |
| 16 | 1991 | 87 | |
| 17 | 1991 | 44 | |
| 18 | 1991 | 114 | |
| 19 | 1988 | 168 | |
| 20 | 1988 | 29 |
About David S. Stoffer
David S. Stoffer is a scholar working on Signal Processing, Finance, Statistics and Probability, Management Science and Operations Research and Obstetrics and Gynecology, having authored 67 papers that have together received 7.7k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (15 papers), Financial Risk and Volatility Modeling (11 papers), Prenatal Substance Exposure Effects (8 papers), Complex Systems and Time Series Analysis (8 papers), Forecasting Techniques and Applications (6 papers), Gestational Diabetes Research and Management (5 papers), Birth, Development, and Health (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Statistics and Probability (662 citations), Signal Processing (759 citations), Finance (621 citations), Management Science and Operations Research (601 citations) and Pediatrics, Perinatology and Child Health (893 citations). David S. Stoffer has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Robert H. Shumway, Peter Bloomfield, Nicholas G. Polson, Bradley P. Carlin, Nancy L. Day, Gale A. Richardson, Mark S. Scher, Marie D. Cornelius, Nadine Robles and Diklah Geva. Their work appears in journals such as Journal of the American Statistical Association, Journal of Time Series Analysis, Biometrika, Alcoholism Clinical and Experimental Research and PEDIATRICS.
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.