John Van Ness
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Advanced Statistical Methods and Models 5
- Statistical Methods and Inference 5
-
- Bayesian Methods and Mixture Models 4
- Advanced Clustering Algorithms Research 3
- Co-authors
- Roger Peck (3 shared papers)William H. Olin (1 shared paper)Samir E. Bishara (1 shared paper)Charles J. Krause (1 shared paper)Larry P. Ammann (2 shared papers)Lloyd D. Fisher (2 shared papers)Zhenmin Chen (1 shared paper)
- Journals
- Pattern Recognition (2 papers)Journal of the American Statistical Association (2 papers)Technometrics (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)ACM Transactions on Mathematical Software (1 paper)
- Partner nations
- United States
In The Last Decade
John Van Ness
11 papers receiving 273 citations
Peers
Comparison fields: 5 of 69
- Statistics and Probability 117
- Analytical Chemistry 36
- Orthodontics 13
- Computer Vision and Pattern Recognition 62
- Genetics 80
Countries citing papers authored by John Van Ness
This map shows the geographic impact of John 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 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 Van Ness more than expected).
Fields of papers citing papers by John Van Ness
This network shows the impact of papers produced by John 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 Van Ness. The network helps show where John Van Ness may publish in the future.
Co-authors
The 7 scholars most cited alongside John 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
| # | Work | ||
|---|---|---|---|
| 1 | Facial and dental relationships of individuals with unoperated clefts of the lip and/or palate. | 1976 | 82 |
| 2 | 1982 | 52 | |
| 3 | 1980 | 39 | |
| 4 | 1979 | 38 | |
| 5 | 1979 | 32 | |
| 6 | 1989 | 24 | |
| 7 | 1988 | 15 | |
| 8 | 1989 | 11 | |
| 9 | 1989 | 6 | |
| 10 | Structural and functional models revisited | 1997 | 2 |
| 11 | 1998 | 1 |
About John Van Ness
John Van Ness is a scholar working on Statistics and Probability, Artificial Intelligence, Computer Vision and Pattern Recognition, Analytical Chemistry and Control and Systems Engineering, having authored 11 papers that have together received 302 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (4 papers), Advanced Clustering Algorithms Research (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Face and Expression Recognition (2 papers), Cleft Lip and Palate Research (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Statistics and Probability (117 citations), Analytical Chemistry (36 citations), Orthodontics (13 citations), Computer Vision and Pattern Recognition (62 citations) and Genetics (80 citations). John Van Ness has collaborated with scholars based in United States. Frequent co-authors include Roger Peck, William H. Olin, Samir E. Bishara, Charles J. Krause, Larry P. Ammann, Lloyd D. Fisher and Zhenmin Chen. Their work appears in journals such as Pattern Recognition, Journal of the American Statistical Association, Technometrics, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Mathematical Software.
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.