Greg Midgette

1.1k total citations · 1 hit paper
28 papers, 754 citations indexed

About

Greg Midgette is a scholar working on Epidemiology, Sociology and Political Science and Pharmacology. According to data from OpenAlex, Greg Midgette has authored 28 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 12 papers in Sociology and Political Science and 6 papers in Pharmacology. Recurrent topics in Greg Midgette's work include Substance Abuse Treatment and Outcomes (13 papers), Crime Patterns and Interventions (7 papers) and Criminal Justice and Corrections Analysis (6 papers). Greg Midgette is often cited by papers focused on Substance Abuse Treatment and Outcomes (13 papers), Crime Patterns and Interventions (7 papers) and Criminal Justice and Corrections Analysis (6 papers). Greg Midgette collaborates with scholars based in United States and Slovenia. Greg Midgette's co-authors include Beau Kilmer, Jonathan P. Caulkins, Peter Reuter, Rosanna Smart, Steven Davenport, Nancy Nicosia, Paul Heaton, Rosalie Liccardo Pacula, Robert J. MacCoun and Mark A. R.Kleiman and has published in prestigious journals such as American Journal of Public Health, Addiction and JAMA Psychiatry.

In The Last Decade

Greg Midgette

24 papers receiving 701 citations

Hit Papers

Variation in cannabis potency and prices in a newly legal... 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Variation in cannabis potency and prices in a newly legal market: evidence from 30 million cannabis sales in Washington state
    2017 257 citations Rosanna Smart, Jonathan P. Caulkins et al. Addiction profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Greg Midgette United States 10 407 403 165 139 123 28 754
Arthur Hughes United States 11 411 1.0× 376 0.9× 221 1.3× 94 0.7× 116 0.9× 24 825
Lynne Belle‐Isle Canada 14 518 1.3× 385 1.0× 275 1.7× 92 0.7× 133 1.1× 16 870
Paloma Sales United States 12 239 0.6× 251 0.6× 111 0.7× 112 0.8× 98 0.8× 19 478
Pamela J. Trangenstein United States 12 206 0.5× 333 0.8× 187 1.1× 123 0.9× 133 1.1× 64 645
George S. Yacoubian United States 19 296 0.7× 399 1.0× 160 1.0× 149 1.1× 222 1.8× 80 957
Cesar Leos‐Toro Canada 15 420 1.0× 229 0.6× 282 1.7× 31 0.2× 123 1.0× 18 693
Steven Davenport United States 11 401 1.0× 248 0.6× 134 0.8× 47 0.3× 86 0.7× 21 521
Annemieke Benschop Netherlands 13 223 0.5× 287 0.7× 123 0.7× 74 0.5× 156 1.3× 41 565
Vivian Chiu Australia 12 258 0.6× 197 0.5× 118 0.7× 76 0.5× 96 0.8× 31 494
Brendan Quinn Australia 17 116 0.3× 495 1.2× 200 1.2× 136 1.0× 128 1.0× 62 775

Countries citing papers authored by Greg Midgette

Since Specialization
Citations

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

Fields of papers citing papers by Greg Midgette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Midgette. 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 Greg Midgette. The network helps show where Greg Midgette may publish in the future.

Co-authorship network of co-authors of Greg Midgette

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

All Works

20 of 20 papers shown
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Midgette, Greg & Peter Reuter. (2024). Diverting 911 calls: Lessons from early adopting urban jurisdictions. Criminology & Public Policy. 23(3). 777–799. 2 indexed citations
3.
Midgette, Greg, et al.. (2024). A Model to Assess the Feasibility of 911 Call Diversion Programs. Justice Quarterly. 41(5). 619–646. 1 indexed citations
4.
Nicosia, Nancy, Beau Kilmer, Greg Midgette, & Marika Booth. (2023). Association of an Alcohol Abstinence Program With Mortality in Individuals Arrested for Driving While Alcohol Impaired. JAMA Psychiatry. 80(5). 520–520. 1 indexed citations
5.
Bjarnadóttir, Margrét V., Siddharth Chandra, Pengfei He, & Greg Midgette. (2023). Analyzing illegal psychostimulant trafficking networks using noisy and sparse data. IISE Transactions. 56(3). 269–281. 1 indexed citations
6.
Saunders, Jessica & Greg Midgette. (2023). A test for implicit bias in discretionary criminal justice decisions.. Law and Human Behavior. 47(1). 217–232. 2 indexed citations
7.
Midgette, Greg, et al.. (2021). Random drug testing in prisons: Does a little testing go a long way?. Criminology & Public Policy. 20(2). 329–349. 7 indexed citations
8.
Reuter, Peter, Jonathan P. Caulkins, & Greg Midgette. (2021). Heroin use cannot be measured adequately with a general population survey. Addiction. 116(10). 2600–2609. 87 indexed citations
9.
Kilmer, Beau & Greg Midgette. (2020). Criminal Deterrence: Evidence from an Individual‐Level Analysis of 24/7 Sobriety. Journal of Policy Analysis and Management. 39(3). 801–834. 9 indexed citations
10.
Midgette, Greg, Beau Kilmer, Nancy Nicosia, & Paul Heaton. (2020). A Natural Experiment to Test the Effect of Sanction Certainty and Celerity on Substance-Impaired Driving: North Dakota’s 24/7 Sobriety Program. Journal of Quantitative Criminology. 37(3). 647–670. 14 indexed citations
11.
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Smart, Rosanna, Jonathan P. Caulkins, Beau Kilmer, Steven Davenport, & Greg Midgette. (2017). Variation in cannabis potency and prices in a newly legal market: evidence from 30 million cannabis sales in Washington state. Addiction. 112(12). 2167–2177. 257 indexed citations breakdown →
13.
Caulkins, Jonathan P., Beau Kilmer, Peter Reuter, & Greg Midgette. (2015). Cocaine's Fall and Marijuana's Rise. Planta Medica. 53(1). 92–4. 1 indexed citations
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Caulkins, Jonathan P., Beau Kilmer, Mark A. R.Kleiman, et al.. (2015). Considering Marijuana Legalization: Insights for Vermont and Other Jurisdictions. RAND Corporation eBooks. 77 indexed citations
16.
Caulkins, Jonathan P., Susan Everingham, Beau Kilmer, & Greg Midgette. (2014). The Whole is Just the Sum of its Parts: Limited Polydrug Use Among the “Big Three” Expensive Drugs in the United States. Current Drug Abuse Reviews. 6(2). 91–97. 2 indexed citations
17.
Caulkins, Jonathan P., Beau Kilmer, Peter Reuter, & Greg Midgette. (2014). Cocaine's fall and marijuana's rise: questions and insights based on new estimates of consumption and expenditures in US drug markets. Addiction. 110(5). 728–736. 56 indexed citations
18.
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Kilmer, Beau, Susan S. Sohler Everingham, Jonathan P. Caulkins, et al.. (2014). What America's Users Spend on Illegal Drugs: 2000–2010. RAND Corporation eBooks. 46 indexed citations
20.

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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