Michael O’Kelly

961 citations
27 papers · 548 indexed · h-index 13

Michael O’Kelly

25 papers receiving 522 citations

Peers

Michael O’Kelly
Comparison fields: 5 of 83
  • Statistics and Probability 355
  • Statistics, Probability and Uncertainty 48
  • Economics and Econometrics 180
  • Management Science and Operations Research 28
  • Pharmacology 16
Replace Bohdana Ratitch with:
Bohdana Ratitch United States
David Ohlssen Switzerland
Damian McEntegart United Kingdom
Weichung Joseph Shih United States
Noemi Hummel United States
Gorana Capkun-Niggli Switzerland
Jacqueline Corrigan‐Curay United States
Irving K. Hwang United States
Cornelia Dunger‐Baldauf Switzerland
Seong-Ju Kim South Korea
Michael O’Kelly relative to Bohdana Ratitch United States Bohdana Ratitch's profile →
Citations per field
00.5×
Bohdana Ratitch · 1×
Citations per year

Countries citing papers authored by Michael O’Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Michael O’Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael O’Kelly. 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 Michael O’Kelly. The network helps show where Michael O’Kelly may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael O’Kelly, 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 Michael O’Kelly Line = papers co-authored together Michael O’Kelly links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 202040
3 202042
4 202024
5 20196
6 20197
7 20193
8 20172
9 20178
10 201610
11 201626
12 201479
13 20135
14 20131
15 201331
16 20135
17 201331
18 20106
19 201013
20 201013

About Michael O’Kelly

Michael O’Kelly is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Economics and Econometrics, Pharmacology and Applied Mathematics, having authored 27 papers that have together received 548 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (18 papers), Advanced Causal Inference Techniques (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers), Pharmaceutical industry and healthcare (3 papers), Meta-analysis and systematic reviews (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (355 citations), Statistics, Probability and Uncertainty (48 citations), Economics and Econometrics (180 citations), Management Science and Operations Research (28 citations) and Pharmacology (16 citations). Michael O’Kelly has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Bohdana Ratitch, Robert Tosiello, Ilya Lipkovich, Craig Mallinckrodt, Geert Molenberghs, Pritibha Singh, Jonathan W. Bartlett, Niti Goel, James Roger and Christy Chuang‐Stein. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Pharmaceutical Statistics, Statistics in Biopharmaceutical Research, Biometrical Journal and Journal of Biopharmaceutical Statistics.

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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