Thomas J. DiCiccio

7.1k total citations · 3 hit papers
70 papers, 5.1k citations indexed

About

Thomas J. DiCiccio is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Thomas J. DiCiccio has authored 70 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in Thomas J. DiCiccio's work include Statistical Methods and Inference (37 papers), Statistical Methods and Bayesian Inference (31 papers) and Advanced Statistical Methods and Models (22 papers). Thomas J. DiCiccio is often cited by papers focused on Statistical Methods and Inference (37 papers), Statistical Methods and Bayesian Inference (31 papers) and Advanced Statistical Methods and Models (22 papers). Thomas J. DiCiccio collaborates with scholars based in United States, United Kingdom and Canada. Thomas J. DiCiccio's co-authors include Bradley Efron, Robert E. Kass, Adrian E. Raftery, Larry Wasserman, Joseph P. Romano, Michael A. Martin, Peter Hall, Steven Stern, Anna Clara Monti and G. A. Young and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Management Science.

In The Last Decade

Thomas J. DiCiccio

67 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bootstrap confidence intervals

1996 1.6k citations Thomas J. DiCiccio, Bradley Efron Statistical Science profile →
Computing Bayes Factors by Combining Simulation and Asymptotic Approximations

1997 1.5k citations Thomas J. DiCiccio, Robert E. Kass et al. Journal of the American Statistical Association profile →
Learning during the COVID-19 pandemic: It is not who you teach, but how you teach

2021 105 citations Thomas J. DiCiccio et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas J. DiCiccio United States	27	2.3k	1.0k	481	413	412	70	5.1k
B. W. Silverman United Kingdom	24	2.8k 1.2×	1.4k 1.4×	434 0.9×	437 1.1×	540 1.3×	40	7.4k
Aa United States	10	1.1k 0.5×	729 0.7×	468 1.0×	554 1.3×	609 1.5×	22	6.8k
Andrea Johnson United States	4	1.2k 0.5×	1.1k 1.1×	433 0.9×	529 1.3×	488 1.2×	6	8.8k
Ludwig Fahrmeir Germany	34	2.3k 1.0×	991 1.0×	187 0.4×	463 1.1×	890 2.2×	124	5.2k
Larry Wasserman United States	30	1.9k 0.8×	2.1k 2.1×	327 0.7×	524 1.3×	404 1.0×	73	5.3k
Samprit Chatterjee United States	26	1.8k 0.8×	571 0.6×	693 1.4×	491 1.2×	689 1.7×	59	8.0k
Stephen M. Stigler United States	32	1.7k 0.7×	726 0.7×	530 1.1×	622 1.5×	593 1.4×	153	5.1k
Brian Francis United Kingdom	44	1.6k 0.7×	465 0.5×	760 1.6×	373 0.9×	438 1.1×	233	10.5k
Werner A. Stahel Switzerland	32	2.9k 1.3×	897 0.9×	1.3k 2.7×	434 1.1×	433 1.1×	86	9.2k
Malay Ghosh United States	24	2.5k 1.1×	1.2k 1.2×	726 1.5×	781 1.9×	581 1.4×	165	4.8k

Countries citing papers authored by Thomas J. DiCiccio

Since Specialization

Citations

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

Fields of papers citing papers by Thomas J. DiCiccio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. DiCiccio

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

DiCiccio, Thomas J., et al.. (2020). Exact tests via multiple data splitting. Statistics & Probability Letters. 166. 108865–108865. 20 indexed citations

Yang, Eunhwa, Ying Hua, & Thomas J. DiCiccio. (2018). DIFFUSION OF INNOVATION IN SUSTAINABLE BUILDING PRACTICES AND THE ROLE OF STAKEHOLDERS. Journal of Green Building. 13(4). 91–102. 6 indexed citations

DiCiccio, Thomas J. & Anna Clara Monti. (2017). Testing for sub-models of the skew t-distribution. Statistical Methods & Applications. 27(1). 25–44. 2 indexed citations

Taniguchi, Masanobu, et al.. (2012). Jackknifed whittle estimators. Statistica Sinica. 22(3). 1287–1304. 2 indexed citations

Ospina, P.A., D.V. Nydam, & Thomas J. DiCiccio. (2012). Technical note: The risk ratio, an alternative to the odds ratio for estimating the association between multiple risk factors and a dichotomous outcome. Journal of Dairy Science. 95(5). 2576–2584. 42 indexed citations

DiCiccio, Thomas J., Anna Clara Monti, & G. A. Young. (2006). Variance Stabilization for a Scalar Parameter. Journal of the Royal Statistical Society Series B (Statistical Methodology). 68(2). 281–303. 6 indexed citations

DiCiccio, Thomas J., Robert E. Kass, Adrian E. Raftery, & Larry Wasserman. (1997). Computing Bayes Factors by Combining Simulation and Asymptotic Approximations. Journal of the American Statistical Association. 92(439). 903–915. 1516 indexed citations breakdown →

DiCiccio, Thomas J. & Bradley Efron. (1996). Bootstrap Condence Intervals. 21 indexed citations

DiCiccio, Thomas J. & Bradley Efron. (1996). Bootstrap confidence intervals. Statistical Science. 11(3). 1616 indexed citations breakdown →

10.

Casella, George, Thomas J. DiCiccio, & Martin T. Wells. (1995). [Inference Based on Estimating Functions in the Presence of Nuisance Parameters]: Comment: Alternative Aspects of Conditional Inference. Statistical Science. 10(2). 4 indexed citations

11.

DiCiccio, Thomas J. & Steven Stern. (1994). Constructing Approximately Standard Normal Pivots from Signed Roots of Adjusted Likelihood Ratio Statistics. Scandinavian Journal of Statistics. 21(4). 447–460. 13 indexed citations

12.

DiCiccio, Thomas J. & Steven Stern. (1993). On Bartlett adjustments for approximate Bayesian inference. Biometrika. 80(4). 731–740. 28 indexed citations

13.

DiCiccio, Thomas J., Michael A. Martin, & G. A. Young. (1992). Fast and accurate approximate double bootstrap confidence intervals. Biometrika. 79(2). 285–295. 33 indexed citations

14.

DiCiccio, Thomas J. & Bradley Efron. (1992). More accurate confidence intervals in exponential families. Biometrika. 79(2). 231–245. 71 indexed citations

15.

DiCiccio, Thomas J., et al.. (1991). An accurate method for approximate conditional and Bayesian inference about linear regression models from censored data. Biometrika. 78(4). 903–910. 12 indexed citations

16.

DiCiccio, Thomas J. & Michael A. Martin. (1991). Approximations of marginal tail probabilities for a class of smooth functions with applications to Bayesian and conditional inference. Biometrika. 78(4). 891–902. 55 indexed citations

17.

DiCiccio, Thomas J., Chris Field, & D. A. S. Fraser. (1990). Approximations of marginal tail probabilities and inference for scalar parameters. Biometrika. 77(1). 77–95. 75 indexed citations

18.

DiCiccio, Thomas J. & Joseph P. Romano. (1989). The automatic percentile method: Accurate confidence limits in parametric models. Canadian Journal of Statistics. 17(2). 155–169. 8 indexed citations

19.

DiCiccio, Thomas J. & Robert Tibshirani. (1987). Bootstrap Confidence Intervals and Bootstrap Approximations. Journal of the American Statistical Association. 82(397). 163–170. 59 indexed citations

20.

DiCiccio, Thomas J.. (1987). Approximate Inference for the Generalized Gamma Distribution. Technometrics. 29(1). 33–33. 30 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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