M W Perrine

61 total papers · 1.6k total citations
37 papers, 1.3k citations indexed

About

M W Perrine is a scholar working on Epidemiology, Safety, Risk, Reliability and Quality and Experimental and Cognitive Psychology. According to data from OpenAlex, M W Perrine has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 8 papers in Safety, Risk, Reliability and Quality and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in M W Perrine's work include Substance Abuse Treatment and Outcomes (16 papers), Traffic and Road Safety (8 papers) and Alcohol Consumption and Health Effects (6 papers). M W Perrine is often cited by papers focused on Substance Abuse Treatment and Outcomes (16 papers), Traffic and Road Safety (8 papers) and Alcohol Consumption and Health Effects (6 papers). M W Perrine collaborates with scholars based in United States. M W Perrine's co-authors include Robert M. Swift, Richard E. Musty, Mitch Earleywine, Christopher S. Martin, James C. Mundt, John S. Searles, John E. Helzer, Allan R. Meyers, Raymond C. Peck and Cheryl J. Cherpitel and has published in prestigious journals such as Accident Analysis & Prevention, Alcoholism Clinical and Experimental Research and Journal of Safety Research.

In The Last Decade

M W Perrine

31 papers receiving 1.2k citations

Hit Papers

Development and Validatio... 1993 2026 2004 2015 1993 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M W Perrine 583 268 255 224 190 37 1.3k
Frederick B. Glaser 573 1.0× 294 1.1× 230 0.9× 161 0.7× 181 1.0× 36 1.7k
Robert E. Popham 582 1.0× 191 0.7× 414 1.6× 129 0.6× 124 0.7× 32 1.6k
Megan L. Ryan 518 0.9× 435 1.6× 250 1.0× 168 0.8× 186 1.0× 16 1.2k
Verner S. Westerberg 575 1.0× 265 1.0× 103 0.4× 147 0.7× 188 1.0× 28 1.2k
Conor K. Farren 651 1.1× 504 1.9× 246 1.0× 306 1.4× 177 0.9× 62 1.8k
Yvonne Bonomo 607 1.0× 168 0.6× 169 0.7× 123 0.5× 124 0.7× 71 1.4k
Alan Gordon 531 0.9× 329 1.2× 129 0.5× 233 1.0× 141 0.7× 24 1.3k
Milton M. Gross 600 1.0× 223 0.8× 249 1.0× 95 0.4× 359 1.9× 47 1.6k
Nicole Lee 853 1.5× 244 0.9× 129 0.5× 235 1.0× 177 0.9× 42 1.7k
Emily R. Grekin 588 1.0× 160 0.6× 137 0.5× 271 1.2× 233 1.2× 44 1.7k

Countries citing papers authored by M W Perrine

Since Specialization
Citations

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

Fields of papers citing papers by M W Perrine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M W Perrine. 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 M W Perrine. The network helps show where M W Perrine may publish in the future.

Co-authorship network of co-authors of M W Perrine

This figure shows the co-authorship network connecting the top 25 collaborators of M W Perrine. A scholar is included among the top collaborators of M W Perrine 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 M W Perrine. M W Perrine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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