Daniel A. Adler
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
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- Mental Health Research Topics
Papers in
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- Digital Mental Health Interventions 13
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- Mental Health Research Topics 8
- Co-authors
- Tanzeem Choudhury (11 shared papers)David C. Mohr (4 shared papers)Vincent W.-S. Tseng (2 shared papers)Fei Wang (2 shared papers)John M. Kane (2 shared papers)Simon G. Ammanuel (4 shared papers)Michael V. Johnston (3 shared papers)Andrew T. Campbell (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)PLoS ONE (2 papers)American Journal of Tropical Medicine and Hygiene (1 paper)JMIR mhealth and uhealth (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Daniel A. Adler
20 papers receiving 295 citations
Peers
Comparison fields: 5 of 74
- Applied Psychology 116
- Experimental and Cognitive Psychology 98
- Health Informatics 7
- Human-Computer Interaction 18
- Cognitive Neuroscience 50
Countries citing papers authored by Daniel A. Adler
This map shows the geographic impact of Daniel A. Adler'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 Daniel A. Adler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Adler more than expected).
Fields of papers citing papers by Daniel A. Adler
This network shows the impact of papers produced by Daniel A. Adler. 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 Daniel A. Adler. The network helps show where Daniel A. Adler may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel A. Adler, 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 | 2020 | 65 | |
| 2 | 2022 | 35 | |
| 3 | 2022 | 34 | |
| 4 | 2015 | 31 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 19 | |
| 7 | 2014 | 18 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 10 | |
| 10 | 2018 | 10 | |
| 11 | 2009 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2011 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Daniel A. Adler
Daniel A. Adler is a scholar working on Applied Psychology, Experimental and Cognitive Psychology, Social Psychology, Clinical Psychology and Cognitive Neuroscience, having authored 20 papers that have together received 298 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (13 papers), Mental Health Research Topics (8 papers), Mental Health via Writing (3 papers), Neonatal and fetal brain pathology (3 papers), COVID-19 and Mental Health (3 papers), Mental Health Treatment and Access (2 papers), Sleep and Wakefulness Research (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Applied Psychology (116 citations), Experimental and Cognitive Psychology (98 citations), Health Informatics (7 citations), Human-Computer Interaction (18 citations) and Cognitive Neuroscience (50 citations). Daniel A. Adler has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Tanzeem Choudhury, David C. Mohr, Vincent W.-S. Tseng, Fei Wang, John M. Kane, Simon G. Ammanuel, Michael V. Johnston, Andrew T. Campbell, Dror Ben‐Zeev and Shilpa D. Kadam. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, PLoS ONE, American Journal of Tropical Medicine and Hygiene, JMIR mhealth and uhealth and Neuroscience.
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.