David J. Olive

1.3k total citations
47 papers, 791 citations indexed

About

David J. Olive is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, David J. Olive has authored 47 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 11 papers in Statistics, Probability and Uncertainty and 6 papers in Management Science and Operations Research. Recurrent topics in David J. Olive's work include Advanced Statistical Methods and Models (30 papers), Statistical Methods and Inference (21 papers) and Advanced Statistical Process Monitoring (11 papers). David J. Olive is often cited by papers focused on Advanced Statistical Methods and Models (30 papers), Statistical Methods and Inference (21 papers) and Advanced Statistical Process Monitoring (11 papers). David J. Olive collaborates with scholars based in United States, Australia and Saudi Arabia. David J. Olive's co-authors include Douglas M. Hawkins, Michael J. Barrington, Peter Choong, David A. Scott, Roman Kluger, Simone Said, Antoni J. Dulęba, Shehta A. Said, Ye Ping and A.B. Stewart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

David J. Olive

44 papers receiving 744 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 J. Olive United States 17 346 157 150 81 67 47 791
Lori A. Thombs United States 19 219 0.6× 35 0.2× 84 0.6× 83 1.0× 86 1.3× 43 1.1k
Mauro Gasparini Italy 18 279 0.8× 114 0.7× 60 0.4× 92 1.1× 130 1.9× 61 1.1k
Gilles R. Ducharme Canada 15 226 0.7× 80 0.5× 30 0.2× 83 1.0× 33 0.5× 74 865
Sara López‐Pintado United States 15 388 1.1× 42 0.3× 174 1.2× 107 1.3× 51 0.8× 33 1.2k
Douglas G. Simpson United States 24 1.1k 3.3× 43 0.3× 455 3.0× 212 2.6× 145 2.2× 75 1.9k
Yuedong Wang United States 16 434 1.3× 28 0.2× 87 0.6× 130 1.6× 99 1.5× 48 962
Chin‐Tsang Chiang Taiwan 12 706 2.0× 20 0.1× 39 0.3× 189 2.3× 56 0.8× 32 999
Lu Lin China 13 243 0.7× 119 0.8× 38 0.3× 91 1.1× 41 0.6× 51 979
Randall Brooks United Kingdom 12 280 0.8× 29 0.2× 92 0.6× 95 1.2× 115 1.7× 31 782
Éric Matzner-Løber France 12 132 0.4× 64 0.4× 29 0.2× 193 2.4× 36 0.5× 31 769

Countries citing papers authored by David J. Olive

Since Specialization
Citations

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

Fields of papers citing papers by David J. Olive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Olive

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Olive. A scholar is included among the top collaborators of David J. Olive 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 J. Olive. David J. Olive 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.
Olive, David J., et al.. (2025). A High Dimensional Omnibus Regression Test. Stats. 8(4). 107–107.
2.
Olive, David J., et al.. (2025). Testing with the one component partial least squares and the marginal maximum likelihood estimators. Communication in Statistics- Theory and Methods. 55(5). 1492–1507. 3 indexed citations
3.
Olive, David J., et al.. (2024). Calibrating and Visualizing Some Bootstrap Confidence Regions. Axioms. 13(10). 659–659.
4.
Olive, David J., et al.. (2023). Bootstrapping ARMA time series models after model selection. Communication in Statistics- Theory and Methods. 53(23). 8255–8270.
5.
Olive, David J., et al.. (2021). Bootstrapping some GLM and survival regression variable selection estimators. Communication in Statistics- Theory and Methods. 52(8). 2625–2645. 6 indexed citations
6.
Olive, David J., et al.. (2021). Prediction intervals for GLMs, GAMs, and some survival regression models. Communication in Statistics- Theory and Methods. 51(22). 8012–8026. 5 indexed citations
7.
Olive, David J.. (2014). Statistical Theory and Inference. CERN Document Server (European Organization for Nuclear Research). 21 indexed citations
8.
Olive, David J.. (2012). Why the Rousseeuw Yohai Paradigm is One of the Largest and Longest Running Scientific Hoaxes in History. 2 indexed citations
9.
Chang, Jing & David J. Olive. (2010). OLS for 1D Regression Models. Communication in Statistics- Theory and Methods. 39(10). 1869–1882. 5 indexed citations
10.
Barrington, Michael J., et al.. (2008). Stimulating Catheters for Continuous Femoral Nerve Blockade After Total Knee Arthroplasty: A Randomized, Controlled, Double-Blinded Trial. Anesthesia & Analgesia. 106(4). 1316–1321. 31 indexed citations
12.
Olive, David J.. (2006). Prediction intervals for regression models. Computational Statistics & Data Analysis. 51(6). 3115–3122. 49 indexed citations
13.
Barrington, Michael J., et al.. (2005). Continuous Femoral Nerve Blockade or Epidural Analgesia After Total Knee Replacement: A Prospective Randomized Controlled Trial. Anesthesia & Analgesia. 101(6). 1824–1829. 89 indexed citations
14.
Olive, David J.. (2004). Two simple resistant regression estimators. Computational Statistics & Data Analysis. 49(3). 809–819. 5 indexed citations
15.
Olive, David J.. (2004). Does the MLE Maximize the Likelihood. 1 indexed citations
16.
Olive, David J.. (2003). Linear Regression Analysis. Technometrics. 45(4). 362–363. 28 indexed citations
17.
Kluger, Roman, David J. Olive, A.B. Stewart, & Carolyn Blyth. (2003). ε-aminocaproic Acid in Coronary Artery Bypass Graft Surgery. Anesthesiology. 99(6). 1263–1269. 18 indexed citations
18.
Hawkins, Douglas M. & David J. Olive. (2002). Inconsistency of Resampling Algorithms for High-Breakdown Regression Estimators and a New Algorithm. Journal of the American Statistical Association. 97(457). 136–159. 63 indexed citations
19.
Hawkins, Douglas M. & David J. Olive. (1999). Improved feasible solution algorithms for high breakdown estimation. Computational Statistics & Data Analysis. 30(1). 1–11. 50 indexed citations
20.
Dulęba, Antoni J. & David J. Olive. (1996). Regression Analysis and Multivariate Analysis. Seminars in Reproductive Medicine. 14(2). 139–153. 17 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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