John Van Ness

413 total citations
11 papers, 301 citations indexed

About

John Van Ness is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Van Ness has authored 11 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in John Van Ness's work include Advanced Statistical Methods and Models (5 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). John Van Ness is often cited by papers focused on Advanced Statistical Methods and Models (5 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). John Van Ness collaborates with scholars based in United States. John Van Ness's co-authors include Roger Peck, Samir E. Bishara, Charles J. Krause, William H. Olin, Larry P. Ammann, Lloyd D. Fisher and Zhenmin Chen and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Technometrics.

In The Last Decade

John Van Ness

11 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Van Ness United States	8	117	84	79	61	36	11	301
Hsin‐Hsiung Huang United States	9	10 0.1×	7 0.1×	42 0.5×	36 0.6×	6 0.2×	56	274
Zilan Hu China	7	24 0.2×		101 1.3×	229 3.8×	27 0.8×	10	293
Mikael Wallman Sweden	7	10 0.1×	2 0.0×	46 0.6×	23 0.4×	8 0.2×	25	274
Sarah Mazhar China	9	5 0.0×	4 0.0×	97 1.2×	120 2.0×	5 0.1×	15	397
Jingyi Zhang China	12	7 0.1×	3 0.0×	42 0.5×	17 0.3×	2 0.1×	31	271
Asma Gul Pakistan	6	10 0.1×	1 0.0×	75 0.9×	75 1.2×	5 0.1×	19	229
Monika Sharma India	6	1 0.0×	58 0.7×	69 0.9×	97 1.6×	8 0.2×	15	270
Liwang Ding China	9	20 0.2×	2 0.0×	77 1.0×	221 3.6×	2 0.1×	27	383
Rachid Sammouda Saudi Arabia	9	1 0.0×	6 0.1×	119 1.5×	135 2.2×	16 0.4×	34	335

Countries citing papers authored by John Van Ness

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John Van Ness

This figure shows the co-authorship network connecting the top 25 collaborators of John Van Ness. A scholar is included among the top collaborators of John Van Ness 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 John Van Ness. John Van Ness is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Chen, Zhenmin & John Van Ness. (1998). CHARACTERIZATIONS OF NEAREST AND FARTHEST NEIGHBOR ALGORITHMS BY CLUSTERING ADMISSIBILITY CONDITIONS. Pattern Recognition. 31(10). 1573–1578. 1 indexed citations

2.

Ness, John Van, et al.. (1997). Structural and functional models revisited. 37–50. 2 indexed citations

3.

Peck, Roger, Lloyd D. Fisher, & John Van Ness. (1989). Approximate Confidence Intervals for the Number of Clusters. Journal of the American Statistical Association. 84(405). 184–191. 24 indexed citations

4.

Ammann, Larry P. & John Van Ness. (1989). Standard and robust orthogonal regression. Communications in Statistics - Simulation and Computation. 18(1). 145–162. 11 indexed citations

5.

Peck, Roger, Lloyd D. Fisher, & John Van Ness. (1989). Approximate Confidence Intervals for the Number of Clusters. Journal of the American Statistical Association. 84(405). 184–184. 6 indexed citations

6.

Ammann, Larry P. & John Van Ness. (1988). A routine for converting regression algorithms into corresponding orthogonal regression algorithms. ACM Transactions on Mathematical Software. 14(1). 76–87. 15 indexed citations

7.

Peck, Roger & John Van Ness. (1982). The Use of Shrinkage Estimators in Linear Discriminant Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-4(5). 530–537. 52 indexed citations

8.

Ness, John Van. (1980). On the dominance of non-parametric Bayes rule discriminant algorithms in high dimensions. Pattern Recognition. 12(6). 355–368. 38 indexed citations

9.

Ness, John Van. (1979). On the Effects of Dimension in Discriminant Analysis for Unequal Covariance Populations. Technometrics. 21(1). 119–127. 38 indexed citations

10.

Ness, John Van. (1979). On the Effects of Dimension in Discriminant Analysis for Unequal Covariance Populations. Technometrics. 21(1). 119–119. 32 indexed citations

11.

Bishara, Samir E., et al.. (1976). Facial and dental relationships of individuals with unoperated clefts of the lip and/or palate.. PubMed. 13. 238–52. 82 indexed citations

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.

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