David J. Olive

1.3k citations
47 papers · 802 · h-index 17

Impact in

Papers in

David J. Olive

44 papers receiving 755 citations

Peers

David J. Olive
Comparison fields: 5 of 149
  • Statistics and Probability 349
  • Statistics, Probability and Uncertainty 151
  • Management Science and Operations Research 68
  • Analytical Chemistry 38
  • Surgery 139
Replace Sara López‐Pintado with:
Sara López‐Pintado United States
Garry D.A. Phillips United Kingdom
Lori A. Thombs United States
Yuedong Wang United States
Bert C. van Zomeren Netherlands
Douglas G. Simpson United States
Bikas K. Sinha India
Chin‐Tsang Chiang Taiwan
Randall Brooks United Kingdom
Lu Lin China
David J. Olive relative to Sara López‐Pintado United States Sara López‐Pintado's profile →
Citations per field
00.5×5.8×
Sara López‐Pintado · 1×
Citations per year

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-authors

The 15 scholars most cited alongside David J. Olive, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David J. Olive Line = papers co-authored together David J. Olive links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200589
2 201785
3 200263
4 199950
5 200649
6 199938
7 200334
8 200831
9 201730
10 200328
11 200725
12 201524
13 201422
14 199619
15 200318
16 200518
17 201216
18 201915
19 200215
20 200513

About David J. Olive

David J. Olive is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Artificial Intelligence and Surgery, having authored 47 papers that have together received 802 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (30 papers), Statistical Methods and Inference (21 papers), Advanced Statistical Process Monitoring (11 papers), Statistical Methods and Bayesian Inference (6 papers), Optimal Experimental Design Methods (5 papers), Statistical Methods and Applications (3 papers), Statistical and numerical algorithms (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Statistics and Probability (349 citations), Statistics, Probability and Uncertainty (151 citations), Management Science and Operations Research (68 citations), Analytical Chemistry (38 citations) and Surgery (139 citations). David J. Olive has collaborated with scholars based in United States, Australia and Saudi Arabia. Frequent co-authors include Douglas M. Hawkins, Michael J. Barrington, Peter Choong, David A. Scott, Roman Kluger, Antoni J. Dulęba, Simone Said, Shehta A. Said, Raymond Hui and A.B. Stewart. Their work appears in journals such as Technometrics, Computational Statistics & Data Analysis, Statistical Papers, Journal of the American Statistical Association and Anesthesia & Analgesia.

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.

Explore authors with similar magnitude of impact