Jan Swanepoel

1.1k total citations
59 papers, 708 citations indexed

About

Jan Swanepoel is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Jan Swanepoel has authored 59 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 12 papers in Finance. Recurrent topics in Jan Swanepoel's work include Statistical Methods and Inference (39 papers), Financial Risk and Volatility Modeling (12 papers) and Advanced Statistical Methods and Models (11 papers). Jan Swanepoel is often cited by papers focused on Statistical Methods and Inference (39 papers), Financial Risk and Volatility Modeling (12 papers) and Advanced Statistical Methods and Models (11 papers). Jan Swanepoel collaborates with scholars based in South Africa, Belgium and United States. Jan Swanepoel's co-authors include P. D. R. van Heerden, G.H.J. Krüger, Noël Veraverbeke, Paul Janssen, Simos G. Meintanis, B. C. Raubenheimer, David M. Mason, O. C. de Jager, Simos G. Meintanis and O. C. de Jager and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Jan Swanepoel

55 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Swanepoel South Africa 15 384 152 129 127 80 59 708
M. Pourahmadi United States 13 592 1.5× 119 0.8× 240 1.9× 48 0.4× 38 0.5× 23 944
José A. Dı́az-Garcı́a Mexico 17 489 1.3× 90 0.6× 141 1.1× 19 0.1× 123 1.5× 71 854
Jean‐Marc Azäis France 17 140 0.4× 105 0.7× 60 0.5× 43 0.3× 34 0.4× 62 814
Arnold Janssen Germany 12 426 1.1× 95 0.6× 131 1.0× 41 0.3× 27 0.3× 51 901
Ramón Gutiérrez Jáimez Spain 17 267 0.7× 214 1.4× 114 0.9× 8 0.1× 60 0.8× 82 794
Márcia D. Branco Brazil 11 871 2.3× 255 1.7× 415 3.2× 24 0.2× 196 2.5× 19 1.2k
Lianfen Qian United States 13 293 0.8× 95 0.6× 89 0.7× 7 0.1× 77 1.0× 27 640
Raoul LePage United States 11 332 0.9× 307 2.0× 132 1.0× 11 0.1× 48 0.6× 25 844
Antonella Capitanio Italy 6 1.0k 2.6× 247 1.6× 335 2.6× 28 0.2× 360 4.5× 8 1.4k
Frederic Utzet Spain 10 104 0.3× 181 1.2× 25 0.2× 85 0.7× 25 0.3× 25 470

Countries citing papers authored by Jan Swanepoel

Since Specialization
Citations

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

Fields of papers citing papers by Jan Swanepoel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Swanepoel. 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 Jan Swanepoel. The network helps show where Jan Swanepoel may publish in the future.

Co-authorship network of co-authors of Jan Swanepoel

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Swanepoel. A scholar is included among the top collaborators of Jan Swanepoel 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 Jan Swanepoel. Jan Swanepoel 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.
Janssen, Paul, Jan Swanepoel, & Noël Veraverbeke. (2017). Smooth copula-based estimation of the conditional density function with a single covariate. Journal of Multivariate Analysis. 159. 39–48. 4 indexed citations
2.
Swanepoel, Jan. (2014). On a generalization of a theorem by Euler. Journal of Number Theory. 149. 46–56. 1 indexed citations
3.
Meintanis, Simos G., et al.. (2013). The probability weighted characteristic function and goodness-of-fit testing. Journal of Statistical Planning and Inference. 146. 122–132. 18 indexed citations
4.
Janssen, Paul, Jan Swanepoel, & Noël Veraverbeke. (2013). A note on the asymptotic behavior of the Bernstein estimator of the copula density. Journal of Multivariate Analysis. 124. 480–487. 29 indexed citations
5.
Swanepoel, Jan, et al.. (2012). A different view on evaluating the performance of bootstrap critical values : theory and methods. 46(1). 1–30. 1 indexed citations
6.
Swanepoel, Jan, et al.. (2011). New semiparametric and nonparametric bootstrap tests for Spearman's rho. 45(1). 29–40.
7.
Mason, David M. & Jan Swanepoel. (2010). A general result on the uniform in bandwidth consistency of kernel-type function estimators. Test. 20(1). 72–94. 19 indexed citations
8.
Swanepoel, Jan. (2007). My regte! Jou regte? Kom ons praat My regte! Jou regte?, Leon Wessels : book review. 72(1). 129–132. 1 indexed citations
9.
Heerden, P. D. R. van, Jan Swanepoel, & G.H.J. Krüger. (2007). Modulation of photosynthesis by drought in two desert scrub species exhibiting C3-mode CO2 assimilation. Environmental and Experimental Botany. 61(2). 124–136. 124 indexed citations
10.
Swanepoel, Jan, G.H.J. Krüger, & P. D. R. van Heerden. (2007). Effects of sulphur dioxide on photosynthesis in the succulent Augea capensis Thunb. Journal of Arid Environments. 70(2). 208–221. 20 indexed citations
11.
Janssen, Paul, Jan Swanepoel, & Noël Veraverbeke. (2007). Modifying the kernel distribution function estimator towards reduced bias. Statistics. 41(2). 93–103. 4 indexed citations
12.
Janssen, Paul, Jan Swanepoel, & Noël Veraverbeke. (2004). Bootstrapping modified goodness-of-fit statistics with estimated parameters. Statistics & Probability Letters. 71(2). 111–121. 6 indexed citations
13.
Janssen, Paul, Jan Swanepoel, & Noël Veraverbeke. (2002). The modified bootstrap error process for Kaplan–Meier quantiles. Statistics & Probability Letters. 58(1). 31–39. 1 indexed citations
14.
Swanepoel, Jan. (1999). The limiting behavior of a modified maximal symmetric $2s$-spacing with applications. The Annals of Statistics. 27(1). 19 indexed citations
15.
Swanepoel, Jan, et al.. (1999). Simple and effective number-of-bins circumference selectors for a histogram. Statistics and Computing. 9(1). 27–35. 5 indexed citations
16.
Swanepoel, Jan, et al.. (1993). A modified bootstrap estimator for the mean of an asymmetric distribution. Canadian Journal of Statistics. 21(1). 79–87. 1 indexed citations
17.
Swanepoel, Jan, et al.. (1992). A new nonparametric estimator for the mean of the selected population. Communication in Statistics- Theory and Methods. 21(11). 3229–3246. 1 indexed citations
18.
Swanepoel, Jan, et al.. (1990). A new powerful test for periodic pulsed emission of high-energy photons. The Astrophysical Journal. 350. 754–754. 5 indexed citations
19.
Swanepoel, Jan, et al.. (1986). The comparision of two spectral density functions using the bootstrap. Journal of Statistical Computation and Simulation. 24(3-4). 271–282. 11 indexed citations
20.
Swanepoel, Jan. (1986). A note on proving that the (modified) bootstrap works. Communication in Statistics- Theory and Methods. 15(11). 3193–3203. 70 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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