R. J. Serfling
- Statistics and Probability top 1%
- Finance top 5%
- Mathematical Physics top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Co-authors
- David A. FreedmanDennis D. BoosFerenc MóriczWilliam StoutFrank ProschanRamesh M. KorwarDennis D. WackerlyM. R. Leadbetter
- Topics
- Financial Risk and Volatility Modeling (4 papers)Statistical Methods and Inference (4 papers)Probability and Risk Models (4 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
R. J. Serfling
23 papers receiving 689 citations
Peers
Comparison fields: 5 of 92
- Statistics and Probability 329
- Finance 220
- Mathematical Physics 200
- Artificial Intelligence 192
- Management Science and Operations Research 175
Countries citing papers authored by R. J. Serfling
This map shows the geographic impact of R. J. Serfling'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 R. J. Serfling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. J. Serfling more than expected).
Fields of papers citing papers by R. J. Serfling
This network shows the impact of papers produced by R. J. Serfling. 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 R. J. Serfling. The network helps show where R. J. Serfling may publish in the future.
Co-authorship network of co-authors of R. J. Serfling
This figure shows the co-authorship network connecting the top 25 collaborators of R. J. Serfling. A scholar is included among the top collaborators of R. J. Serfling 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 R. J. Serfling. R. J. Serfling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 60 | |
| 3 | 10 | |
| 4 | 48 | |
| 5 | A Variation on Scheffe's Theorem, with Application to Nonparametric Density Estimation. | 1 |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 38 | |
| 9 | Reliability and biometry : statistical analysis of lifelength : papers | 2 |
| 10 | 140 | |
| 11 | 0 | |
| 12 | 190 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 44 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 80 | |
| 19 | 0 | |
| 20 | 1 |
About R. J. Serfling
R. J. Serfling is a scholar working on Statistics and Probability, Finance and Numerical Analysis, having authored 26 papers that have together received 840 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (4 papers), Statistical Methods and Inference (4 papers) and Probability and Risk Models (4 papers). The work is most often cited by research in Statistics and Probability (329 citations), Mathematical Physics (200 citations) and Finance (220 citations). R. J. Serfling has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David A. Freedman, Dennis D. Boos, Ferenc Móricz, William Stout, Frank Proschan, Ramesh M. Korwar, Dennis D. Wackerly and M. R. Leadbetter. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and The Annals of Statistics.
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.