BW Silverman
Impact in
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Applications
- Statistical Methods and Bayesian Inference
Papers in
-
- Advanced Statistical Methods and Models 4
- Statistical Methods and Applications 2
-
- Mathematical Analysis and Transform Methods 2
- Statistical and numerical algorithms 1
- Co-authors
- J. O. Ramsay (1 shared paper)Guy P. Nason (3 shared papers)SE Oliver (1 shared paper)Peter N. Bennett (1 shared paper)
- Journals
- British Journal of Clinical Pharmacology (1 paper)Biometrical Journal (1 paper)Computational Statistics (1 paper)Bristol Research (University of Bristol) (3 papers)
- Partner nations
- United KingdomAustralia
In The Last Decade
BW Silverman
8 papers receiving 403 citations
Peers
Comparison fields: 5 of 76
- Statistics and Probability 198
- Computational Mathematics 2
- Pharmacology 28
- Artificial Intelligence 75
- Statistics, Probability and Uncertainty 14
Countries citing papers authored by BW Silverman
This map shows the geographic impact of BW Silverman'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 BW Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BW Silverman more than expected).
Fields of papers citing papers by BW Silverman
This network shows the impact of papers produced by BW Silverman. 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 BW Silverman. The network helps show where BW Silverman may publish in the future.
Co-authors
The 4 scholars most cited alongside BW Silverman, 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 | 1998 | 256 | |
| 2 | Smoothing and Regression: Approaches, Computation and Application, | 1999 | 83 |
| 3 | Some properties of smoothed principal components analysis for functional data | 1993 | 51 |
| 4 | 1995 | 32 | |
| 5 | Wavelets for regression and other statistical problems | 2000 | 5 |
| 6 | COMPSTAT - Proc in Comput Statist | 1998 | 2 |
| 7 | A wavelet mixture approach to the estimation of image deformation functions | 2001 | 2 |
| 8 | In Wavelet applications of signal and image processing IX, Proceedings of SPIE | 2001 | 1 |
About BW Silverman
BW Silverman is a scholar working on Statistics and Probability, Applied Mathematics, Computer Vision and Pattern Recognition, Pharmacology and Nuclear Energy and Engineering, having authored 8 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Statistical Methods and Applications (2 papers), Mathematical Analysis and Transform Methods (2 papers), Image and Signal Denoising Methods (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Statistical and numerical algorithms (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Statistics and Probability (198 citations), Computational Mathematics (2 citations), Pharmacology (28 citations), Artificial Intelligence (75 citations) and Statistics, Probability and Uncertainty (14 citations). BW Silverman has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include J. O. Ramsay, Guy P. Nason, SE Oliver and Peter N. Bennett. Their work appears in journals such as British Journal of Clinical Pharmacology, Biometrical Journal, Computational Statistics and Bristol Research (University of Bristol).
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.