Mervyn J. Silvapulle

2.7k total citations
57 papers, 1.8k citations indexed

About

Mervyn J. Silvapulle is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research. According to data from OpenAlex, Mervyn J. Silvapulle has authored 57 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 17 papers in Finance and 13 papers in Management Science and Operations Research. Recurrent topics in Mervyn J. Silvapulle's work include Statistical Methods and Inference (24 papers), Advanced Statistical Methods and Models (23 papers) and Financial Risk and Volatility Modeling (15 papers). Mervyn J. Silvapulle is often cited by papers focused on Statistical Methods and Inference (24 papers), Advanced Statistical Methods and Models (23 papers) and Financial Risk and Volatility Modeling (15 papers). Mervyn J. Silvapulle collaborates with scholars based in Australia, United States and United Kingdom. Mervyn J. Silvapulle's co-authors include Pranab Kumar Sen, Paramsothy Silvapulle, Samuel F. Berkovic, Mark R. Newton, Graeme D. Jackson, Gregory J. Fitt, Mark A. King, Lex A. Mitchell, J. Burridge and George Braitberg and has published in prestigious journals such as The Lancet, Journal of the American Statistical Association and Biometrics.

In The Last Decade

Mervyn J. Silvapulle

56 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mervyn J. Silvapulle Australia 18 840 378 301 255 245 57 1.8k
P. Prescott United Kingdom 28 833 1.0× 169 0.4× 184 0.6× 261 1.0× 60 0.2× 101 2.9k
Morris Meisner United States 24 516 0.6× 157 0.4× 31 0.1× 307 1.2× 51 0.2× 62 1.6k
Keith Tan United Kingdom 21 327 0.4× 106 0.3× 44 0.1× 72 0.3× 86 0.4× 49 1.6k
Roland Fried Germany 21 462 0.6× 169 0.4× 176 0.6× 170 0.7× 18 0.1× 105 1.7k
Gunnar Blom Sweden 13 411 0.5× 108 0.3× 83 0.3× 133 0.5× 37 0.2× 46 1.6k
David B. Wolfson Canada 17 732 0.9× 203 0.5× 33 0.1× 107 0.4× 25 0.1× 54 1.4k
Martin Crowder United Kingdom 26 1.1k 1.3× 37 0.1× 147 0.5× 159 0.6× 13 0.1× 77 2.4k
Max A. Woodbury United States 29 367 0.4× 401 1.1× 20 0.1× 160 0.6× 44 0.2× 112 2.7k
Xuming He United States 31 1.5k 1.8× 16 0.0× 144 0.5× 229 0.9× 62 0.3× 107 2.8k
Helena Geys Belgium 25 944 1.1× 35 0.1× 15 0.0× 187 0.7× 48 0.2× 93 2.1k

Countries citing papers authored by Mervyn J. Silvapulle

Since Specialization
Citations

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

Fields of papers citing papers by Mervyn J. Silvapulle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mervyn J. Silvapulle

This figure shows the co-authorship network connecting the top 25 collaborators of Mervyn J. Silvapulle. A scholar is included among the top collaborators of Mervyn J. Silvapulle 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 Mervyn J. Silvapulle. Mervyn J. Silvapulle 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.
Silvapulle, Mervyn J., et al.. (2022). Bootstrap specification tests for dynamic conditional distribution models. Journal of Econometrics. 235(2). 949–971. 2 indexed citations
2.
Silvapulle, Mervyn J., et al.. (2020). Bootstrap based probability forecasting in multiplicative error models. Journal of Econometrics. 221(1). 1–24. 9 indexed citations
3.
Corradi, Valentina, Mervyn J. Silvapulle, & Norman R. Swanson. (2018). Testing for jumps and jump intensity path dependence. Journal of Econometrics. 204(2). 248–267. 17 indexed citations
4.
Silvapulle, Mervyn J., et al.. (2018). Nonparametric Bootstrap Confidence Intervals for High-Quantiles of Heavy-Tailed Distributions. SSRN Electronic Journal. 2 indexed citations
5.
Li, Song, Mervyn J. Silvapulle, Param Silvapulle, & Xibin Zhang. (2014). Bayesian Approaches to Nonparametric Estimation of Densities on the Unit Interval. Econometric Reviews. 34(3). 394–412. 2 indexed citations
6.
Kuiper, Rebecca M., Herbert Hoijtink, & Mervyn J. Silvapulle. (2011). An Akaike-type information criterion for model selection under inequality constraints. Biometrika. 98(2). 495–501. 28 indexed citations
7.
Silvapulle, Mervyn J., et al.. (2007). Experience in adverse events detection in an emergency department: Nature of events. Emergency Medicine Australasia. 19(1). 9–15. 18 indexed citations
8.
Silvapulle, Mervyn J., et al.. (2007). Experience in adverse events detection in an emergency department: Incidence and outcome of events. Emergency Medicine Australasia. 19(1). 16–24. 16 indexed citations
9.
Silvapulle, Mervyn J., et al.. (2007). SEMIPARAMETRIC ESTIMATION OF THE ERROR DISTRIBUTION IN MULTIVARIATE REGRESSION USING COPULAS. Australian & New Zealand Journal of Statistics. 49(3). 321–336. 8 indexed citations
10.
Moosa, Imad A., Param Silvapulle, & Mervyn J. Silvapulle. (2003). Testing for Temporal Asymmetry in the Price‐Volume Relationship. Bulletin of Economic Research. 55(4). 373–389. 2 indexed citations
11.
Silvapulle, Mervyn J.. (2001). Tests Against Qualitative Interaction: Exact Critical Values and Robust Tests. Biometrics. 57(4). 1157–1165. 14 indexed citations
12.
Silvapulle, Mervyn J., et al.. (2001). Ladders: accidents waiting to happen. The Medical Journal of Australia. 174(10). 516–519. 23 indexed citations
13.
Silvapulle, Paramsothy, et al.. (1999). Testing for Asymmetry in the Relationship between the Malaysian Business Cycle and the Stock Market. 38(4). 16. 1 indexed citations
14.
King, Mark A., Mark R. Newton, Graeme D. Jackson, et al.. (1998). Epileptology of the first-seizure presentation: a clinical, electroencephalographic, and magnetic resonance imaging study of 300 consecutive patients. The Lancet. 352(9133). 1007–1011. 422 indexed citations
15.
Silvapulle, Mervyn J.. (1997). A Curious Example Involving the Likelihood Ratio Test against One-Sided Hypotheses. The American Statistician. 51(2). 178–180. 15 indexed citations
16.
Silvapulle, Mervyn J.. (1996). A Test in the Presence of Nuisance Parameters. Journal of the American Statistical Association. 91(436). 1690–1690. 8 indexed citations
17.
Silvapulle, Mervyn J.. (1996). A Test in the Presence of Nuisance Parameters. Journal of the American Statistical Association. 91(436). 1690–1693. 35 indexed citations
18.
Silvapulle, Mervyn J. & Paramsothy Silvapulle. (1995). A Score Test against One-Sided Alternatives. Journal of the American Statistical Association. 90(429). 342–349. 92 indexed citations
19.
Silvapulle, Mervyn J.. (1992). Robust Wald-Type Tests of One-Sided Hypotheses in the Linear Model. Journal of the American Statistical Association. 87(417). 156–161. 32 indexed citations
20.
Silvapulle, Mervyn J., et al.. (1988). Ridge estimation in logistic regression. Communications in Statistics - Simulation and Computation. 17(4). 1231–1257. 62 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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