S. W. Human

945 total citations
27 papers, 736 citations indexed

About

S. W. Human is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, S. W. Human has authored 27 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics, Probability and Uncertainty, 18 papers in Statistics and Probability and 5 papers in Control and Systems Engineering. Recurrent topics in S. W. Human's work include Advanced Statistical Process Monitoring (23 papers), Scientific Measurement and Uncertainty Evaluation (17 papers) and Advanced Statistical Methods and Models (15 papers). S. W. Human is often cited by papers focused on Advanced Statistical Process Monitoring (23 papers), Scientific Measurement and Uncertainty Evaluation (17 papers) and Advanced Statistical Methods and Models (15 papers). S. W. Human collaborates with scholars based in South Africa, United States and Canada. S. W. Human's co-authors include S. Chakraborti, Marien Alet Graham, N. Balakrishnan, Serkan Eryılmaz, Robert Maunder, Margaretha Viljoen, Jonathan Hunter, Annîe Panzer, N. Balakrishnan and Andriëtte Bekker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and Computational Statistics & Data Analysis.

In The Last Decade

S. W. Human

25 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. W. Human South Africa 14 629 405 105 82 61 27 736
Edgar Santos–Fernández Australia 8 96 0.2× 55 0.1× 19 0.2× 22 0.3× 6 0.1× 30 297
Tzu‐Chung Yenn Taiwan 15 223 0.4× 17 0.0× 26 0.2× 14 0.2× 22 0.4× 22 474
Stephen A. Zinkgraf United States 7 40 0.1× 20 0.0× 9 0.1× 87 1.1× 8 0.1× 14 324
Dan Petersen United States 8 273 0.4× 3 0.0× 9 0.1× 59 0.7× 78 1.3× 11 521
H. Swaminathan United States 8 60 0.1× 95 0.2× 2 0.0× 278 3.4× 14 458
Jari Metsämuuronen Finland 11 14 0.0× 80 0.2× 13 0.1× 49 0.6× 46 383
Philip J.W. Carrivick Australia 11 24 0.0× 71 0.2× 3 0.0× 17 0.2× 37 0.6× 12 359
Myron Katzoff United States 7 12 0.0× 67 0.2× 15 0.1× 35 0.4× 17 323
Adrian Hale Australia 10 346 0.6× 1 0.0× 22 0.2× 47 0.6× 72 1.2× 32 560
David Borys Australia 9 363 0.6× 11 0.1× 90 1.1× 61 1.0× 15 641

Countries citing papers authored by S. W. Human

Since Specialization
Citations

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

Fields of papers citing papers by S. W. Human

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. W. Human. 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 S. W. Human. The network helps show where S. W. Human may publish in the future.

Co-authorship network of co-authors of S. W. Human

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

All Works

20 of 20 papers shown
1.
Malela‐Majika, Jean‐Claude, et al.. (2024). Closed-form expressions of the run-length distribution of the nonparametric double sampling precedence monitoring scheme. Computational Statistics. 40(1). 273–299. 1 indexed citations
2.
Malela‐Majika, Jean‐Claude, S. W. Human, & Kashinath Chatterjee. (2024). Homogeneously Weighted Moving Average Control Charts: Overview, Controversies, and New Directions. Mathematics. 12(5). 637–637.
3.
Malela‐Majika, Jean‐Claude, et al.. (2023). A new multivariate extended homogeneously weighted moving average monitoring scheme incorporated with a support vector machine. Quality and Reliability Engineering International. 39(6). 2454–2475. 9 indexed citations
4.
Malela‐Majika, Jean‐Claude, et al.. (2023). A Bayesian ARMA-GARCH EWMA monitoring scheme for long run: A case study on monitoring the USD/ZAR exchange rate. Quality Engineering. 36(3). 471–486. 2 indexed citations
5.
Bekker, Andriëtte, et al.. (2022). Capturing a Change in the Covariance Structure of a Multivariate Process. Symmetry. 14(1). 156–156. 1 indexed citations
6.
Human, S. W., et al.. (2018). A generally weighted moving average exceedance chart. Journal of Statistical Computation and Simulation. 88(9). 1759–1781. 14 indexed citations
7.
Human, S. W., et al.. (2018). A double generally weighted moving average exceedance control chart. Quality and Reliability Engineering International. 35(1). 224–245. 11 indexed citations
8.
Chakraborti, S., et al.. (2016). A Generally Weighted Moving Average Signed‐rank Control Chart. Quality and Reliability Engineering International. 32(8). 2835–2845. 36 indexed citations
9.
Human, S. W., et al.. (2016). A generally weighted moving average chart for time between events. Communications in Statistics - Simulation and Computation. 46(10). 7790–7817. 31 indexed citations
10.
Human, S. W., et al.. (2014). Improved Shewhart-type Runs-rules Nonparametric Sign Charts. Communication in Statistics- Theory and Methods. 43(22). 4723–4748. 11 indexed citations
11.
Bekker, Andriëtte, et al.. (2012). On the Bivariate Kummer-Beta Type IV Distribution. Communication in Statistics- Theory and Methods. 41(18). 3339–3354. 2 indexed citations
12.
Human, S. W., et al.. (2011). Robustness of the EWMA control chart for individual observations. Journal of Applied Statistics. 38(10). 2071–2087. 49 indexed citations
13.
Graham, Marien Alet, S. Chakraborti, & S. W. Human. (2011). A Nonparametric EWMA Sign Chart for Location Based on Individual Measurements. Quality Engineering. 23(3). 227–241. 71 indexed citations
14.
Human, S. W., et al.. (2011). A generalized multivariate beta distribution: control charting when the measurements are from an exponential distribution. Statistical Papers. 53(4). 1045–1064. 8 indexed citations
15.
Graham, Marien Alet, S. Chakraborti, & S. W. Human. (2011). A nonparametric exponentially weighted moving average signed-rank chart for monitoring location. Computational Statistics & Data Analysis. 55(8). 2490–2503. 79 indexed citations
16.
Human, S. W., et al.. (2009). Shewhart-type control charts for variation in phase I data analysis. Computational Statistics & Data Analysis. 54(4). 863–874. 22 indexed citations
17.
Chakraborti, S. & S. W. Human. (2008). Properties and performance of thec-chart for attributes data. Journal of Applied Statistics. 35(1). 89–100. 26 indexed citations
18.
Chakraborti, S., Serkan Eryılmaz, & S. W. Human. (2008). A phase II nonparametric control chart based on precedence statistics with runs-type signaling rules. Computational Statistics & Data Analysis. 53(4). 1054–1065. 51 indexed citations
19.
Chakraborti, S., S. W. Human, & Marien Alet Graham. (2008). Phase I Statistical Process Control Charts: An Overview and Some Results. Quality Engineering. 21(1). 52–62. 130 indexed citations
20.
Maunder, Robert, et al.. (2006). Physicians’ difficulty with emergency department patients is related to patients’ attachment style. Social Science & Medicine. 63(2). 552–562. 76 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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