Tim Millar

2.6k citations
72 papers · 1.8k · h-index 24

Impact in

Papers in

Tim Millar

67 papers receiving 1.7k citations

Peers

Tim Millar
Comparison fields: 5 of 87
  • Public Health, Environmental and Occupational Health 747
  • Epidemiology 502
  • General Health Professions 327
  • Social Psychology 167
  • Statistics and Probability 74
Replace William E. McAuliffe with:
William E. McAuliffe United States
Marica Ferri Portugal
Richard C. Stephens United States
Chris Ringwalt United States
Mark D. Godley United States
Craig A. Field United States
Rachael A. Korcha United States
Ruth McGovern United Kingdom
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Citations per field
00.5×5×10×16.4×
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Citations per year

Countries citing papers authored by Tim Millar

Since Specialization
Citations

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

Fields of papers citing papers by Tim Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015130
2 2019124
3 1988122
4 1993119
5 1987112
6 2018100
7 198799
8 201478
9 201975
10 199274
11 201644
12 201744
13
Estimates of the Prevalence of Opiate Use and/or Crack Cocaine Use, 2009/10: Sweep 6 report
201143
14
Link between the ability to detect and manage emotional disorders: a study of general practitioner trainees.
199140
15 199139
16 200433
17 201532
18 201528
19 202027
20 201526

About Tim Millar

Tim Millar is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Statistics and Probability, Demography and General Health Professions, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (35 papers), Opioid Use Disorder Treatment (25 papers), Census and Population Estimation (8 papers), Youth, Drugs, and Violence (8 papers), HIV, Drug Use, Sexual Risk (6 papers), Innovations in Medical Education (4 papers), Crime Patterns and Interventions (4 papers) and Patient-Provider Communication in Healthcare (4 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (747 citations), Epidemiology (502 citations), General Health Professions (327 citations), Social Psychology (167 citations) and Statistics and Probability (74 citations). Tim Millar has collaborated with scholars based in United Kingdom, Australia and Denmark. Frequent co-authors include David P Goldberg, Matthew Hickman, Linda L Gask, Matthias Pierce, David Goldberg, Sheila Macdonald Bird, Graeme McGrath, John Marsden, Graham D. Dunn and Andrew Jones. Their work appears in journals such as Addiction, International Journal of Drug Policy, Drug and Alcohol Dependence, Journal of Epidemiology & Community Health and Medical Education.

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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