J. H. Venter

843 total citations
38 papers, 587 citations indexed

About

J. H. Venter is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, J. H. Venter has authored 38 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 11 papers in Finance and 8 papers in Artificial Intelligence. Recurrent topics in J. H. Venter's work include Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Statistical Methods and Models (7 papers). J. H. Venter is often cited by papers focused on Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Statistical Methods and Models (7 papers). J. H. Venter collaborates with scholars based in South Africa, Netherlands and Croatia. J. H. Venter's co-authors include Tertius de Wet, V. Hattingh, Aruna Manrakhan, Mari van Reenen, Johan A. Westerhuis, Carolus J. Reinecke, Jan Swanepoel, T.W. Steele and Penny Ellis and has published in prestigious journals such as Technometrics, Biometrika and BMC Bioinformatics.

In The Last Decade

J. H. Venter

34 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. H. Venter South Africa	12	262	174	141	119	76	38	587
W. R. van Zwet Netherlands	18	582 2.2×	190 1.1×	170 1.2×	204 1.7×	95 1.3×	49	1.0k
William E. Wecker United States	11	133 0.5×	114 0.7×	117 0.8×	95 0.8×	50 0.7×	25	588
Jack C. Lee Taiwan	14	422 1.6×	118 0.7×	68 0.5×	272 2.3×	53 0.7×	24	703
Donald B. Owen United States	11	292 1.1×	49 0.3×	122 0.9×	60 0.5×	225 3.0×	16	660
Peter Spreij Netherlands	13	146 0.6×	256 1.5×	97 0.7×	124 1.0×	15 0.2×	79	584
Ramón Gutiérrez Jáimez Spain	17	267 1.0×	214 1.2×	127 0.9×	114 1.0×	60 0.8×	82	794
Tõnu Kollo Estonia	10	323 1.2×	92 0.5×	41 0.3×	136 1.1×	50 0.7×	25	576
Miao Bai-qi China	12	282 1.1×	122 0.7×	67 0.5×	109 0.9×	29 0.4×	47	514
Xin Dang United States	11	146 0.6×	38 0.2×	69 0.5×	190 1.6×	49 0.6×	44	462
Lawrence A. Klimko United States	9	311 1.2×	189 1.1×	64 0.5×	101 0.8×	85 1.1×	16	542

Countries citing papers authored by J. H. Venter

Since Specialization

Citations

This map shows the geographic impact of J. H. Venter'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 J. H. Venter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. H. Venter more than expected).

Fields of papers citing papers by J. H. Venter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. H. Venter. 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 J. H. Venter. The network helps show where J. H. Venter may publish in the future.

Co-authorship network of co-authors of J. H. Venter

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Venter, J. H., et al.. (2022). Trading Binary Options Using Expected Profit and Loss Metrics. Risks. 10(11). 212–212.

Reenen, Mari van, Johan A. Westerhuis, Carolus J. Reinecke, & J. H. Venter. (2017). Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp. BMC Bioinformatics. 18(1). 83–83. 5 indexed citations

Manrakhan, Aruna, et al.. (2016). Use of male annihilation technique for control of pest species in the Bactrocera group on mainland Africa.. 209–225. 1 indexed citations

Reenen, Mari van, Carolus J. Reinecke, Johan A. Westerhuis, & J. H. Venter. (2016). Variable selection for binary classification using error rate p-values applied to metabolomics data. BMC Bioinformatics. 17(1). 5 indexed citations

Venter, J. H., et al.. (2015). A framework for normal mean variance mixture innovations with application to Garth modelling. 49(2). 139–152.

Wet, Tertius de, et al.. (2015). Combining Scenario and Historical Data in the Loss Distribution Approach: A New Procedure that Incorporates Measures of Agreement between Scenarios and Historical Data. SSRN Electronic Journal.

Venter, J. H., et al.. (2002). Identifying multivariate discordant observations: a computer-intensive approach. Computational Statistics & Data Analysis. 40(1). 159–172. 7 indexed citations

Venter, J. H., et al.. (2001). Risk estimation using the normal inverse Gaussian distribution. The Journal of Risk. 4(2). 1–23. 50 indexed citations

Venter, J. H., et al.. (1996). A Hypothesis-Testing Approach Toward Identifying Active Contrasts. Technometrics. 38(2). 161–169. 4 indexed citations

10.

Venter, J. H., et al.. (1996). Finding multiple abrupt change points. Computational Statistics & Data Analysis. 22(5). 481–504. 24 indexed citations

11.

Venter, J. H., et al.. (1995). A note on the generalised cross-validation criterion in linear model selection. Biometrika. 82(1). 215–219. 6 indexed citations

12.

Venter, J. H., et al.. (1994). Pre-Test type estimators for selection of simple normal models. Journal of Statistical Computation and Simulation. 51(1). 31–48. 4 indexed citations

13.

Venter, J. H., et al.. (1993). Simultaneous selection and estimation for the some zeros family of normal models. Journal of Statistical Computation and Simulation. 45(3-4). 129–146. 6 indexed citations

14.

Venter, J. H., et al.. (1992). Some contributions to selection and estimation in the normal linear model. Annals of the Institute of Statistical Mathematics. 44(2). 281–297. 5 indexed citations

15.

Venter, J. H., et al.. (1991). Estimation of the mean of the population selected from K populations. Journal of Statistical Computation and Simulation. 38(1-4). 1–14. 5 indexed citations

16.

Venter, J. H.. (1989). Estimating the probability of correct selection. Journal of Statistical Computation and Simulation. 32(3). 165–176. 2 indexed citations

17.

Venter, J. H.. (1988). Estimation of the mean of the selected population. Communication in Statistics- Theory and Methods. 17(3). 791–805. 23 indexed citations

18.

Venter, J. H., et al.. (1987). An estimator for the means of mormal populations. Communication in Statistics- Theory and Methods. 16(2). 593–612. 3 indexed citations

19.

Ellis, Penny, J. H. Venter, & T.W. Steele. (1983). Estimation of Material Variation In Powdered Materials. Geostandards and Geoanalytical Research. 7(2). 261–272. 2 indexed citations

20.

Venter, J. H.. (1967). On Convergence of the Kiefer-Wolfowitz Approximation Procedure. The Annals of Mathematical Statistics. 38(4). 1031–1036. 4 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.

Explore authors with similar magnitude of impact