Michael P. McDermott
- Molecular Biology
- Neurology top 10%
- Cognitive Neuroscience top 10%
- Statistics and Probability top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Robert H. DworkinGovind S. MudholkarR.P. NatzkeH. N. ErbDennis C. TurkRobert C. GriggsWarren OlanowChristopher G. Goetz
- Topics
- Statistical Methods in Clinical Trials (11 papers)Pain Management and Placebo Effect (11 papers)Optimal Experimental Design Methods (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Michael P. McDermott
37 papers receiving 790 citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 172
- Neurology 161
- Cognitive Neuroscience 149
- Statistics and Probability 120
- Cellular and Molecular Neuroscience 106
Countries citing papers authored by Michael P. McDermott
This map shows the geographic impact of Michael P. McDermott'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 P. McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. McDermott more than expected).
Fields of papers citing papers by Michael P. McDermott
This network shows the impact of papers produced by Michael P. McDermott. 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 P. McDermott. The network helps show where Michael P. McDermott may publish in the future.
Co-authorship network of co-authors of Michael P. McDermott
This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. McDermott. A scholar is included among the top collaborators of Michael P. McDermott 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 Michael P. McDermott. Michael P. McDermott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 24 | |
| 12 | 26 | |
| 13 | 27 | |
| 14 | 181 | |
| 15 | 4 | |
| 16 | 20 | |
| 17 | 0 | |
| 18 | 8 | |
| 19 | 22 | |
| 20 | 9 |
About Michael P. McDermott
Michael P. McDermott is a scholar working on Statistics and Probability, Anesthesiology and Pain Medicine and Management Science and Operations Research, having authored 41 papers that have together received 816 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (11 papers), Pain Management and Placebo Effect (11 papers) and Optimal Experimental Design Methods (7 papers). The work is most often cited by research in Statistics and Probability (120 citations), Neurology (161 citations) and Agronomy and Crop Science (88 citations). Michael P. McDermott has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert H. Dworkin, Govind S. Mudholkar, R.P. Natzke, H. N. Erb, Dennis C. Turk, Robert C. Griggs, Warren Olanow, Christopher G. Goetz, Joanne Wuu and Yining Wang. Their work appears in journals such as Journal of the American Statistical Association, Neurology and Annals of Neurology.
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.