Farid Anvari
Impact in
- Applied Psychology top 5%
- Behavioral Health and Interventions
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- Meta-analysis and systematic reviews
Papers in
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- Behavioral Health and Interventions 7
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- Mental Health Research Topics 4
- Co-authors
- Daniël Lakens (3 shared papers)Andrew K Przybylski (2 shared papers)Neil A. Lewis (1 shared paper)Netta Weinstein (1 shared paper)Richard D. Morey (1 shared paper)Hans IJzerman (1 shared paper)Stuart J. Ritchie (1 shared paper)Lisa M. DeBruine (1 shared paper)
In The Last Decade
Farid Anvari
13 papers receiving 487 citations
Peers
Comparison fields: 5 of 99
- Applied Psychology 70
- Statistics, Probability and Uncertainty 50
- Information Systems and Management 43
- General Decision Sciences 11
- Experimental and Cognitive Psychology 74
Countries citing papers authored by Farid Anvari
This map shows the geographic impact of Farid Anvari'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 Farid Anvari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farid Anvari more than expected).
Fields of papers citing papers by Farid Anvari
This network shows the impact of papers produced by Farid Anvari. 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 Farid Anvari. The network helps show where Farid Anvari may publish in the future.
Co-authors
The 25 scholars most cited alongside Farid Anvari, 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 | 145 | |
| 2 | 2021 | 106 | |
| 3 | 2018 | 87 | |
| 4 | 2022 | 56 | |
| 5 | 2019 | 35 | |
| 6 | 2022 | 29 | |
| 7 | 2025 | 11 | |
| 8 | 2017 | 9 | |
| 9 | 2020 | 6 | |
| 10 | 2023 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2022 | 0 |
About Farid Anvari
Farid Anvari is a scholar working on Applied Psychology, Experimental and Cognitive Psychology, Social Psychology, Sociology and Political Science and General Health Professions, having authored 15 papers that have together received 494 indexed citations. Recurring topics across this work include Behavioral Health and Interventions (7 papers), Mental Health Research Topics (4 papers), Social and Intergroup Psychology (3 papers), Psychological Well-being and Life Satisfaction (2 papers), Decision-Making and Behavioral Economics (2 papers), Health Policy Implementation Science (1 paper), Forgiveness and Related Behaviors (1 paper) and Language, Discourse, Communication Strategies (1 paper). The work is most often cited by research in Applied Psychology (70 citations), Statistics, Probability and Uncertainty (50 citations), Information Systems and Management (43 citations), General Decision Sciences (11 citations) and Experimental and Cognitive Psychology (74 citations). Farid Anvari has collaborated with scholars based in Germany, Denmark and Australia. Frequent co-authors include Daniël Lakens, Andrew K Przybylski, Neil A. Lewis, Netta Weinstein, Richard D. Morey, Hans IJzerman, Stuart J. Ritchie, Lisa M. DeBruine, Simine Vazire and Patrick S. Forscher. Their work appears in journals such as Journal of Experimental Social Psychology, Nature Human Behaviour, Nature Communications, Collabra Psychology and Social Psychological and Personality Science.
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.