Michael P. McDermott

5.9k citations
43 papers · 884 · h-index 18

Impact in

    • Statistical Methods in Clinical Trials
  • Neurology top 10%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Michael P. McDermott

39 papers receiving 855 citations

Peers

Michael P. McDermott
Comparison fields: 5 of 104
  • Statistics and Probability 122
  • Neurology 127
  • Agronomy and Crop Science 88
  • Cognitive Neuroscience 133
  • Anesthesiology and Pain Medicine 31
Replace Vincenzo Guardabasso with:
Vincenzo Guardabasso Italy
H C Porchet Switzerland
Nancy Hall United States
M. Chavance France
Jill L. King United States
Chenxi Li United States
Jörn Schulz Norway
Leonie Weinhold Germany
Jonathan R. Genzen United States
Emilie Vierron France
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Citations per field
00.5×10×16.6×
Vincenzo Guardabasso · 1×
Citations per year

Countries citing papers authored by Michael P. McDermott

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008181
2 2000110
3 198262
4 200149
5 201648
6 198329
7 201127
8 201326
9 201326
10 201925
11 201624
12 199323
13 201422
14 199822
15 200120
16 198920
17 202020
18 202018
19 201815
20 201915

About Michael P. McDermott

Michael P. McDermott is a scholar working on Statistics and Probability, Cognitive Neuroscience, Management Science and Operations Research, Pharmacology and Molecular Biology, having authored 43 papers that have together received 884 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (11 papers), Pain Management and Placebo Effect (9 papers), Optimal Experimental Design Methods (7 papers), Musculoskeletal pain and rehabilitation (5 papers), Advanced Statistical Methods and Models (5 papers), Pain Management and Opioid Use (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (122 citations), Neurology (127 citations), Agronomy and Crop Science (88 citations), Cognitive Neuroscience (133 citations) and Anesthesiology and Pain Medicine (31 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, Robert C. Griggs, Dennis C. Turk, Charles H. Adler, Ira Shoulson, P.K. Tandon and Stanley Fahn. Their work appears in journals such as Neurology, Pain, Journal of Pain, Movement Disorders and Statistics in Medicine.

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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