Amy Rubin

1.1k citations
29 papers · 782 · h-index 15

Impact in

Papers in

Amy Rubin

29 papers receiving 757 citations

Peers

Amy Rubin
Comparison fields: 5 of 101
  • Applied Psychology 96
  • Clinical Psychology 202
  • Epidemiology 229
  • Hepatology 37
  • Health 38
Replace Erikson Felipe Furtado with:
Erikson Felipe Furtado Brazil
Ali Farhoudian Iran
Ingunn Hansdóttir Iceland
V. Guagliardo France
Arlinda F. Kristjanson United States
Heather Walters United States
Federica Mathis Italy
Priscilla Martínez United States
Ariel Hoadley United States
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Citations per field
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Citations per year

Countries citing papers authored by Amy Rubin

Since Specialization
Citations

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

Fields of papers citing papers by Amy Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013103
2 201494
3 200592
4 199661
5 201061
6 201456
7
The reliability of Marlatt's taxonomy for classifying relapses.
199635
8 201130
9
Predictive validity of Marlatt's relapse taxonomy versus a more general relapse code.
199627
10 201426
11 200624
12 202019
13 202118
14 202017
15 201616
16 200513
17 201712
18 201412
19 202011
20 201610

About Amy Rubin

Amy Rubin is a scholar working on Epidemiology, Clinical Psychology, Applied Psychology, Social Psychology and General Health Professions, having authored 29 papers that have together received 782 indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (11 papers), Posttraumatic Stress Disorder Research (6 papers), Digital Mental Health Interventions (4 papers), Schizophrenia research and treatment (4 papers), Behavioral Health and Interventions (3 papers), Mental Health Treatment and Access (2 papers), Gambling Behavior and Treatments (2 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Applied Psychology (96 citations), Clinical Psychology (202 citations), Epidemiology (229 citations), Hepatology (37 citations) and Health (38 citations). Amy Rubin has collaborated with scholars based in United States and Spain. Frequent co-authors include Richard Longabaugh, Robert L. Stout, Monica Roy, Justin L. Enggasser, Terence M. Keane, Deborah J. Brief, Eric Helmuth, David Rosenbloom, Mark Lachowicz and John A. Hermos. Their work appears in journals such as Addiction, Addictive Behaviors, Journal of Consulting and Clinical Psychology, Journal of General Internal Medicine and Clinical Psychology Science and Practice.

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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