John W. Van Ness
Impact in
- Finance top 0.5%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
- Modeling and Simulation top 0.5%
- Fractional Differential Equations Solutions
Papers in
-
- Advanced Statistical Methods and Models 8
- Statistical Methods and Inference 3
-
- Advanced Clustering Algorithms Research 6
- Bayesian Methods and Mixture Models 4
- Co-authors
- Benoît B. Mandelbrot (1 shared paper)Chi-Lun Cheng (7 shared papers)J. Gani (1 shared paper)Lloyd D. Fisher (5 shared papers)M. Rosenblatt (1 shared paper)Sudhir Gupta (1 shared paper)Emanuel Parzen (1 shared paper)William Clinger (1 shared paper)
- Journals
- Technometrics (9 papers)Biometrika (6 papers)Journal of the American Statistical Association (6 papers)The Annals of Statistics (2 papers)SIAM Review (2 papers)
- Partner nations
- United StatesTaiwan
In The Last Decade
John W. Van Ness
36 papers receiving 5.9k citations
John W. Van Ness's Hit Papers
Peers
Comparison fields: 5 of 178
- Finance 1.7k
- Modeling and Simulation 632
- Statistical and Nonlinear Physics 1.2k
- Economics and Econometrics 2.3k
- Statistics and Probability 613
Countries citing papers authored by John W. Van Ness
This map shows the geographic impact of John W. Van Ness'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 John W. Van Ness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Van Ness more than expected).
Fields of papers citing papers by John W. Van Ness
This network shows the impact of papers produced by John W. Van Ness. 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 John W. Van Ness. The network helps show where John W. Van Ness may publish in the future.
Co-authors
The 11 scholars most cited alongside John W. Van Ness, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fractional Brownian Motions, Fractional Noises and Applications Hit paper breakdown → | 1968 | 5216 |
| 2 | 2000 | 209 | |
| 3 | 1980 | 196 | |
| 4 | 1965 | 140 | |
| 5 | 1972 | 124 | |
| 6 | 1971 | 115 | |
| 7 | 1966 | 61 | |
| 8 | 1976 | 53 | |
| 9 | 1994 | 49 | |
| 10 | 1976 | 34 | |
| 11 | 1967 | 29 | |
| 12 | 1976 | 29 | |
| 13 | 1991 | 22 | |
| 14 | 1992 | 20 | |
| 15 | 1973 | 14 | |
| 16 | 1973 | 11 | |
| 17 | 1983 | 11 | |
| 18 | 1973 | 10 | |
| 19 | 1996 | 8 | |
| 20 | 1997 | 8 |
About John W. Van Ness
John W. Van Ness is a scholar working on Statistics and Probability, Artificial Intelligence, Signal Processing, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Advanced Clustering Algorithms Research (6 papers), Spectroscopy and Chemometric Analyses (4 papers), Data Management and Algorithms (4 papers), Fault Detection and Control Systems (4 papers), Bayesian Methods and Mixture Models (4 papers), Face and Expression Recognition (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Finance (1.7k citations), Modeling and Simulation (632 citations), Statistical and Nonlinear Physics (1.2k citations), Economics and Econometrics (2.3k citations) and Statistics and Probability (613 citations). John W. Van Ness has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Benoît B. Mandelbrot, Chi-Lun Cheng, J. Gani, Lloyd D. Fisher, M. Rosenblatt, Sudhir Gupta, Emanuel Parzen, William Clinger, Michael Woodroofe and Zhenmin Chen. Their work appears in journals such as Technometrics, Biometrika, Journal of the American Statistical Association, The Annals of Statistics and SIAM Review.
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.