David M. Ledgerwood
- Clinical Psychology top 1%
- Gambling Behavior and Treatments 40
- Sexuality, Behavior, and Technology 20
- Personality Disorders and Psychopathology 12
- Applied Psychology top 2%
- Behavioral Health and Interventions 15
- General Decision Sciences top 5%
- Psychiatry and Mental health top 2%
- Schizophrenia research and treatment 12
- Epidemiology top 5%
- Substance Abuse Treatment and Outcomes 24
-
- Smoking Behavior and Cessation 16
-
- Opioid Use Disorder Treatment 11
- Co-authors
- Nancy M. PetryAleks MilosevicSheila M. AlessiLeslie H. LundahlJeremiah WeinstockJamey J. ListerBenjamin J. MorascoJennifer D. Ellis
- Journals
- Journal of Consulting and Clinical Psychology (2 papers)Clinical Psychology Review (2 papers)Behaviour Research and Therapy (2 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
David M. Ledgerwood
93 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 111
- Clinical Psychology 1.9k
- Applied Psychology 326
- General Decision Sciences 90
- Psychiatry and Mental health 581
- Epidemiology 806
Countries citing papers authored by David M. Ledgerwood
This map shows the geographic impact of David M. Ledgerwood'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 David M. Ledgerwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Ledgerwood more than expected).
Fields of papers citing papers by David M. Ledgerwood
This network shows the impact of papers produced by David M. Ledgerwood. 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 David M. Ledgerwood. The network helps show where David M. Ledgerwood may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Ledgerwood, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 31 | |
| 11 | 2018 | 30 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 24 | |
| 14 | 2015 | 13 | |
| 15 | 2015 | 16 | |
| 16 | 2012 | 22 | |
| 17 | 2009 | 55 | |
| 18 | 2008 | 53 | |
| 19 | 2006 | 139 | |
| 20 | 2005 | 76 |
About David M. Ledgerwood
David M. Ledgerwood is a scholar working on Applied Psychology, Clinical Psychology and Psychiatry and Mental health, having authored 98 papers that have together received 3.1k indexed citations. Recurring topics across this work include Gambling Behavior and Treatments (40 papers), Substance Abuse Treatment and Outcomes (24 papers), Sexuality, Behavior, and Technology (20 papers), Smoking Behavior and Cessation (16 papers), Behavioral Health and Interventions (15 papers), Schizophrenia research and treatment (12 papers), Personality Disorders and Psychopathology (12 papers) and Opioid Use Disorder Treatment (11 papers). The work is most often cited by research in Clinical Psychology (1.9k citations), Applied Psychology (326 citations) and General Decision Sciences (90 citations). David M. Ledgerwood has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Nancy M. Petry, Aleks Milosevic, Sheila M. Alessi, Nancy M. Petry, Leslie H. Lundahl, Jeremiah Weinstock, Jamey J. Lister, Benjamin J. Morasco, Jennifer D. Ellis and Amy M. Loree. Their work appears in journals such as Journal of Consulting and Clinical Psychology, Clinical Psychology Review and Behaviour Research and Therapy.
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.