Amin Hosseinian‐Far
- Clinical Psychology top 0.5%
- COVID-19 and Mental Health 5
- Applied Psychology top 1%
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- Sleep and related disorders 4
- Social Psychology top 2%
- Neurology top 2%
- Long-Term Effects of COVID-19 4
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- Security and Verification in Computing 6
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- Physical Unclonable Functions (PUFs) and Hardware Security 5
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- Healthcare professionals’ stress and burnout 4
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- Advanced Malware Detection Techniques 4
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- Big Data and Business Intelligence 3
Amin Hosseinian‐Far
81 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Clinical Psychology 2.4k
- Applied Psychology 426
- Experimental and Cognitive Psychology 577
- Social Psychology 754
- Neurology 459
Countries citing papers authored by Amin Hosseinian‐Far
This map shows the geographic impact of Amin Hosseinian‐Far'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 Amin Hosseinian‐Far with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Hosseinian‐Far more than expected).
Fields of papers citing papers by Amin Hosseinian‐Far
This network shows the impact of papers produced by Amin Hosseinian‐Far. 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 Amin Hosseinian‐Far. The network helps show where Amin Hosseinian‐Far may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amin Hosseinian‐Far, 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 | 2025 | 6 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 18 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 1 | |
| 18 | Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysisbreakdown → | 2020 | 2528 |
| 19 | A Conceptual Model of the Factors Affecting Saudi Citizens' Use of Social Media to Communicate with the Government | 2016 | 1 |
| 20 | Influence diagrams: Predictive Approach in Decision Support Systems | 2012 | 1 |
About Amin Hosseinian‐Far
Amin Hosseinian‐Far is a scholar working on Business and International Management, Applied Microbiology and Biotechnology and Hardware and Architecture, having authored 90 papers that have together received 3.8k indexed citations. Recurring topics across this work include Security and Verification in Computing (6 papers), COVID-19 and Mental Health (5 papers), Physical Unclonable Functions (PUFs) and Hardware Security (5 papers), Sleep and related disorders (4 papers), Long-Term Effects of COVID-19 (4 papers), Healthcare professionals’ stress and burnout (4 papers), Advanced Malware Detection Techniques (4 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Clinical Psychology (2.4k citations), Applied Psychology (426 citations) and Experimental and Cognitive Psychology (577 citations). Amin Hosseinian‐Far has collaborated with scholars based in United Kingdom, Iran and Malaysia. Frequent co-authors include Nader Salari, Masoud Mohammadi, Behnam Khaledi‐Paveh, Shabnam Rasoulpoor, Aliakbar Vaisi-Raygani, Rostam Jalali, Shna Rasoulpoor, Alireza Daneshkhah, Shamarina Shohaimi and Habibolah Khazaie.
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.