David M. Mason

1.6k total citations
30 papers, 983 citations indexed

About

David M. Mason is a scholar working on Management Science and Operations Research, Finance and Statistics and Probability. According to data from OpenAlex, David M. Mason has authored 30 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Management Science and Operations Research, 18 papers in Finance and 16 papers in Statistics and Probability. Recurrent topics in David M. Mason's work include Probability and Risk Models (19 papers), Financial Risk and Volatility Modeling (15 papers) and Stochastic processes and statistical mechanics (10 papers). David M. Mason is often cited by papers focused on Probability and Risk Models (19 papers), Financial Risk and Volatility Modeling (15 papers) and Stochastic processes and statistical mechanics (10 papers). David M. Mason collaborates with scholars based in United States, Germany and Hungary. David M. Mason's co-authors include Erich Haeusler, Sándor Csörgő, Friedrich Götze, Evarist Giné, John H. Schuenemeyer, Paul Deheuvels, Lajos Horváth, Philip S. Griffin, Marjorie G. Hahn and Uwe Einmahl and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Annals of Statistics and Fuel Processing Technology.

In The Last Decade

David M. Mason

28 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Mason United States 14 555 420 351 200 142 30 983
William P. McCormick United States 16 435 0.8× 360 0.9× 188 0.5× 98 0.5× 114 0.8× 70 833
Manuel Úbeda-Flores Spain 20 747 1.3× 456 1.1× 374 1.1× 72 0.4× 102 0.7× 77 1.1k
Ashkan Nikeghbali Switzerland 17 560 1.0× 175 0.4× 141 0.4× 211 1.1× 64 0.5× 55 1.0k
Zakhar Kabluchko Germany 14 356 0.6× 235 0.6× 106 0.3× 221 1.1× 58 0.4× 85 770
Jaap Geluk Netherlands 12 403 0.7× 221 0.5× 294 0.8× 129 0.6× 69 0.5× 39 746
J.H.J. Einmahl Netherlands 17 916 1.7× 680 1.6× 191 0.5× 48 0.2× 161 1.1× 78 1.4k
Marjorie G. Hahn United States 15 259 0.5× 205 0.5× 120 0.3× 167 0.8× 71 0.5× 44 610
Siegfried Hörmann United States 18 494 0.9× 405 1.0× 173 0.5× 70 0.3× 98 0.7× 42 1.1k
Lanh Tat Tran United States 20 503 0.9× 928 2.2× 336 1.0× 128 0.6× 361 2.5× 51 1.4k
Markus Reiß Germany 14 365 0.7× 199 0.5× 70 0.2× 92 0.5× 60 0.4× 45 605

Countries citing papers authored by David M. Mason

Since Specialization
Citations

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

Fields of papers citing papers by David M. Mason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Mason. 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 David M. Mason. The network helps show where David M. Mason may publish in the future.

Co-authorship network of co-authors of David M. Mason

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Mason. A scholar is included among the top collaborators of David M. Mason 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 David M. Mason. David M. Mason 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.
Govindarajulu, Z. & David M. Mason. (2016). A Strong Representation for Linear Combinations of Order Statistics with Application to Fixed-width Confidence Intervals for Location and Scale Parameters.
2.
Hallin, Marc, David M. Mason, Dietmar Pfeifer, & Josef Steinebach. (2015). Mathematical Statistics and Limit Theorems. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 13 indexed citations
3.
Mason, David M.. (2003). Representations for Integral Functionals of Kernel Density Estimators. SHILAP Revista de lepidopterología. 32. 131–142. 5 indexed citations
4.
Giné, Evarist, Friedrich Götze, & David M. Mason. (1997). When is the Student $t$-statistic asymptotically standard normal?. The Annals of Probability. 25(3). 140 indexed citations
5.
Csörgő, Sándor, Erich Haeusler, & David M. Mason. (1991). The Asymptotic Distribution of Extreme Sums. The Annals of Probability. 19(2). 13 indexed citations
6.
Griffin, Philip S. & David M. Mason. (1991). On the asymptotic normality of self-normalized sums. Mathematical Proceedings of the Cambridge Philosophical Society. 109(3). 597–610. 33 indexed citations
7.
Janssen, Arnold & David M. Mason. (1990). On the rate of convergence of sums of extremes to a stable law. Probability Theory and Related Fields. 86(2). 253–264. 4 indexed citations
8.
Einmahl, J.H.J., Erich Haeusler, & David M. Mason. (1988). On the relationship between the almost sure stability of weighted empirical distributions and sums of order statistics. Probability Theory and Related Fields. 79(1). 59–74. 3 indexed citations
9.
Csörgő, Sándor, Erich Haeusler, & David M. Mason. (1988). A probabilistic approach to the asymptotic distribution of sums of independent, identically distributed random variables. Advances in Applied Mathematics. 9(3). 259–333. 49 indexed citations
10.
Csörgő, Sándor, Erich Haeusler, & David M. Mason. (1988). The Asymptotic Distribution of Trimmed Sums. The Annals of Probability. 16(2). 36 indexed citations
11.
Deheuvels, Paul, Erich Haeusler, & David M. Mason. (1988). Almost sure convergence of the Hill estimator. Mathematical Proceedings of the Cambridge Philosophical Society. 104(2). 371–381. 69 indexed citations
12.
Haeusler, Erich & David M. Mason. (1987). A Law of the Iterated Logarithm for Sums of Extreme Values from a Distribution with a Regularly Varying Upper Tail. The Annals of Probability. 15(3). 4 indexed citations
13.
Csörgő, Sándor, Lajos Horváth, & David M. Mason. (1986). What portion of the sample makes a partial sum asymptotically stable or normal?. Probability Theory and Related Fields. 72(1). 1–16. 58 indexed citations
14.
Mason, David M., et al.. (1985). Central limit theorems for sums of extreme values. Mathematical Proceedings of the Cambridge Philosophical Society. 98(3). 547–558. 70 indexed citations
15.
Mason, David M.. (1984). A Bahadur efficiency comparison between one and two sample rank statistics and their sequential rank statistic analogues. Journal of Multivariate Analysis. 14(2). 181–200. 3 indexed citations
16.
Mason, David M. & John H. Schuenemeyer. (1983). A Modified Kolmogorov-Smirnov Test Sensitive to Tail Alternatives. The Annals of Statistics. 11(3). 74 indexed citations
17.
Mason, David M.. (1983). The asymptotic distribution of weighted empirical distribution functions. Stochastic Processes and their Applications. 15(1). 99–109. 17 indexed citations
18.
Mason, David M., et al.. (1983). Formulas for calculating the calorific value of coal and coal chars: Development, tests, and uses. Fuel Processing Technology. 7(1). 11–22. 90 indexed citations
19.
Mason, David M.. (1982). Some characterizations of almost sure bounds for weighted multidimensional empirical distributions and a Glivenko-Cantelli theorem for sample quantiles. Probability Theory and Related Fields. 59(4). 505–513. 18 indexed citations
20.
Mason, David M.. (1981). On the Use of a Statistic Based on Sequential Ranks to Prove Limit Theorems for Simple Linear Rank Statistics. The Annals of Statistics. 9(2). 6 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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