William P. McCormick

1.3k total citations
70 papers, 833 citations indexed

About

William P. McCormick is a scholar working on Finance, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, William P. McCormick has authored 70 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Finance, 32 papers in Management Science and Operations Research and 28 papers in Statistics and Probability. Recurrent topics in William P. McCormick's work include Probability and Risk Models (30 papers), Financial Risk and Volatility Modeling (28 papers) and Stochastic processes and financial applications (18 papers). William P. McCormick is often cited by papers focused on Probability and Risk Models (30 papers), Financial Risk and Volatility Modeling (28 papers) and Stochastic processes and financial applications (18 papers). William P. McCormick collaborates with scholars based in United States, France and Taiwan. William P. McCormick's co-authors include I. V. Basawa, Somnath Datta, Robert L. Taylor, Atul Mallik, Michael R. Chernick, Tailen Hsing, Richard A. Davis, Jiayang Sun, Yongcheng Qi and Catherine Loader and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and American Journal of Clinical Pathology.

In The Last Decade

William P. McCormick

66 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William P. McCormick United States 16 435 360 191 188 184 70 833
Siegfried Hörmann United States 18 494 1.1× 405 1.1× 388 2.0× 173 0.9× 127 0.7× 42 1.1k
David M. Mason United States 14 555 1.3× 420 1.2× 139 0.7× 351 1.9× 73 0.4× 30 983
Andrey Feuerverger Canada 16 501 1.2× 541 1.5× 198 1.0× 115 0.6× 157 0.9× 34 1.1k
Jaap Geluk Netherlands 12 403 0.9× 221 0.6× 80 0.4× 294 1.6× 55 0.3× 39 746
Ashkan Nikeghbali Switzerland 17 560 1.3× 175 0.5× 254 1.3× 141 0.8× 60 0.3× 55 1.0k
Lanh Tat Tran United States 20 503 1.2× 928 2.6× 317 1.7× 336 1.8× 104 0.6× 51 1.4k
Manuel Úbeda-Flores Spain 20 747 1.7× 456 1.3× 93 0.5× 374 2.0× 84 0.5× 77 1.1k
Josef Steinebach Germany 18 536 1.2× 657 1.8× 155 0.8× 315 1.7× 87 0.5× 106 1.2k
Philippe Soulier France 14 517 1.2× 218 0.6× 310 1.6× 68 0.4× 87 0.5× 60 778
Marine Carrasco Canada 17 706 1.6× 424 1.2× 517 2.7× 126 0.7× 495 2.7× 39 1.2k

Countries citing papers authored by William P. McCormick

Since Specialization
Citations

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

Fields of papers citing papers by William P. McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William P. McCormick. 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 William P. McCormick. The network helps show where William P. McCormick may publish in the future.

Co-authorship network of co-authors of William P. McCormick

This figure shows the co-authorship network connecting the top 25 collaborators of William P. McCormick. A scholar is included among the top collaborators of William P. McCormick 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 William P. McCormick. William P. McCormick 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.
Tieszer, Christina, et al.. (2013). Role of Patient Information Handouts Following Operative Treatment of Ankle Fractures. Foot & Ankle International. 34(1). 2–7. 15 indexed citations
2.
McCormick, William P., et al.. (2012). Heavy-traffic approximations for fractionally integrated random walks in the domain of attraction of a non-Gaussian stable distribution. Stochastic Processes and their Applications. 122(4). 1276–1303. 3 indexed citations
3.
McCormick, William P., et al.. (2010). An extension of a logarithmic form of Cramér’s ruin theorem to some FARIMA and related processes. Stochastic Processes and their Applications. 120(6). 801–828. 2 indexed citations
4.
McCormick, William P., et al.. (2009). Asymptotic expansions for infinite weighted convolutions of heavy tail distributions and applications. Memoirs of the American Mathematical Society. 197(922). 0–0. 21 indexed citations
5.
McCormick, William P., et al.. (2007). Asymptotic Expansions for Distributions of Compound Sums of Random Variables with Rapidly Varying Subexponential Distribution. Journal of Applied Probability. 44(3). 670–684.
6.
McCormick, William P., et al.. (2007). Asymptotic Expansions for Distributions of Compound Sums of Random Variables with Rapidly Varying Subexponential Distribution. Journal of Applied Probability. 44(3). 670–684. 6 indexed citations
7.
McCormick, William P., et al.. (2007). Tail expansions for the distribution of the maximum of a random walk with negative drift and regularly varying increments. Stochastic Processes and their Applications. 117(12). 1835–1847. 2 indexed citations
8.
Barbe, Philippe & William P. McCormick. (2005). Asymptotic expansions of convolutions of regularly varying distributions. Journal of the Australian Mathematical Society. 78(3). 339–371. 15 indexed citations
9.
McCormick, William P., et al.. (2004). Second-order expansion for the maximum of some stationary Gaussian sequences. Stochastic Processes and their Applications. 110(2). 315–342. 1 indexed citations
10.
Wilson, Machelle, William P. McCormick, & Thomas G. Hinton. (2004). The Maximally Exposed Individual—Comparison of Maximum Likelihood Estimation of High Quantiles to an Extreme Value Estimate. Risk Analysis. 24(5). 1143–1151. 3 indexed citations
11.
McCormick, William P.. (2001). Medical-Legal Implications of Anticoagulation. Journal of Thrombosis and Thrombolysis. 12(1). 95–97. 2 indexed citations
12.
McCormick, William P. & Lynne Seymour. (2001). Rates of Convergence and Approximations to the Distribution of the Maximum of Chain-Dependent Sequences. Extremes. 4(1). 23–52. 2 indexed citations
13.
McCormick, William P. & Yongcheng Qi. (2000). Asymptotic distribution for the sum and maximum of Gaussian processes. Journal of Applied Probability. 37(4). 958–971. 2 indexed citations
14.
McCormick, William P.. (1997). Extremes for shot noise processes with heavy tailed amplitudes. Journal of Applied Probability. 34(3). 643–656. 19 indexed citations
15.
Datta, Somnath & William P. McCormick. (1995). Some Continuous Edgeworth Expansions for Markov Chains with Applications to Bootstrap. Journal of Multivariate Analysis. 52(1). 83–106. 8 indexed citations
16.
Datta, Somnath & William P. McCormick. (1993). On the First-Order Edgeworth Expansion for a Markov Chain. Journal of Multivariate Analysis. 44(2). 345–359. 9 indexed citations
17.
Mathew, George & William P. McCormick. (1993). A complete poisson convergence result for a strongly dependent isotropic gaussian random field. Communications in Statistics Stochastic Models. 9(1). 13–29. 3 indexed citations
18.
Basawa, I. V., et al.. (1991). Bootstrapping Unstable First-Order Autoregressive Processes. The Annals of Statistics. 19(2). 165 indexed citations
19.
Basawa, I. V., William P. McCormick, & Τ. N. Sriram. (1990). Sequential estimation for dependent observations with an application to non-standard autoregressive processes. Stochastic Processes and their Applications. 35(1). 149–168. 6 indexed citations
20.
Davis, Richard A. & William P. McCormick. (1989). Estimation for first-order autoregressive processes with positive or bounded innovations. Stochastic Processes and their Applications. 31(2). 237–250. 36 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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