Robert T. O’Neill
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
-
- Meta-analysis and systematic reviews
Papers in
-
- Statistical Methods in Clinical Trials 46
- Advanced Causal Inference Techniques 12
-
- Meta-analysis and systematic reviews 8
- Co-authors
- Hung HungSue‐Jane WangRoman BoulatovOhidul SiddiquiJane ScottDonald L. PatrickLaurie B. BurkeJohn H. Powers
- Journals
- Statistics in Medicine (11 papers)Biometrical Journal (8 papers)Journal of Biopharmaceutical Statistics (5 papers)Pharmaceutical Statistics (4 papers)The American Statistician (4 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Robert T. O’Neill
79 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Statistics and Probability 1.2k
- Statistics, Probability and Uncertainty 286
- Management Science and Operations Research 382
- Toxicology 78
- Economics and Econometrics 615
Countries citing papers authored by Robert T. O’Neill
This map shows the geographic impact of Robert T. O’Neill'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 Robert T. O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. O’Neill more than expected).
Fields of papers citing papers by Robert T. O’Neill
This network shows the impact of papers produced by Robert T. O’Neill. 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 Robert T. O’Neill. The network helps show where Robert T. O’Neill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert T. O’Neill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 46 | |
| 3 | The many flavours of mechanochemistry and its plausible conceptual underpinnings Hit paper breakdown → | 2021 | 260 |
| 4 | 2014 | 17 | |
| 5 | 2013 | 1 | |
| 6 | 2012 | 103 | |
| 7 | 2011 | 12 | |
| 8 | 2010 | 20 | |
| 9 | 2010 | 17 | |
| 10 | 2010 | 39 | |
| 11 | 2009 | 34 | |
| 12 | 2007 | 180 | |
| 13 | 2006 | 23 | |
| 14 | 2005 | 83 | |
| 15 | 2002 | 20 | |
| 16 | 2000 | 10 | |
| 17 | 1998 | 11 | |
| 18 | 1998 | 75 | |
| 19 | 1993 | 15 | |
| 20 | 1988 | 40 |
About Robert T. O’Neill
Robert T. O’Neill is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Toxicology, Management Science and Operations Research and Economics and Econometrics, having authored 82 papers that have together received 2.9k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (46 papers), Health Systems, Economic Evaluations, Quality of Life (26 papers), Optimal Experimental Design Methods (15 papers), Advanced Causal Inference Techniques (12 papers), Meta-analysis and systematic reviews (8 papers), Force Microscopy Techniques and Applications (7 papers), Pharmaceutical studies and practices (6 papers) and Pharmacovigilance and Adverse Drug Reactions (5 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (286 citations), Management Science and Operations Research (382 citations), Toxicology (78 citations) and Economics and Econometrics (615 citations). Robert T. O’Neill has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Hung Hung, Sue‐Jane Wang, Roman Boulatov, Ohidul Siddiqui, Jane Scott, Donald L. Patrick, Laurie B. Burke, John H. Powers, Dianne L. Kennedy and Edwin P. Rock. Their work appears in journals such as Statistics in Medicine, Biometrical Journal, Journal of Biopharmaceutical Statistics, Pharmaceutical Statistics and The American Statistician.
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.