Navid Ghaffarzadegan
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 16
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- Complex Systems and Decision Making 16
- Innovation Diffusion and Forecasting 5
- General Health Professions top 5%
- Doctoral Education Challenges and Solutions 7
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- COVID-19 Pandemic Impacts 7
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- Cognitive Science and Mapping 7
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- Health and Medical Research Impacts 6
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- Mental Health Research Topics 4
- Co-authors
- Richard C. LarsonGeorge P. RichardsonYi XueHazhir RahmandadJoshua D. HawleyRan XuMohammad S. JalaliJosé Guevara
- Journals
- System Dynamics Review (14 papers)Systems Research and Behavioral Science (6 papers)PLoS ONE (6 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Navid Ghaffarzadegan
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 143
- Modeling and Simulation 183
- Management Science and Operations Research 320
- General Decision Sciences 18
- General Health Professions 237
- Statistics, Probability and Uncertainty 61
Countries citing papers authored by Navid Ghaffarzadegan
This map shows the geographic impact of Navid Ghaffarzadegan'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 Navid Ghaffarzadegan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Navid Ghaffarzadegan more than expected).
Fields of papers citing papers by Navid Ghaffarzadegan
This network shows the impact of papers produced by Navid Ghaffarzadegan. 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 Navid Ghaffarzadegan. The network helps show where Navid Ghaffarzadegan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Navid Ghaffarzadegan, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 18 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 26 | |
| 11 | 2021 | 58 | |
| 12 | 2020 | 15 | |
| 13 | 2017 | 20 | |
| 14 | 2017 | 26 | |
| 15 | Education as a Complex System | 2016 | 0 |
| 16 | 2016 | 9 | |
| 17 | 2016 | 32 | |
| 18 | Essays on applications of behavioral decision making in public management and policy | 2011 | 2 |
| 19 | 2010 | 266 | |
| 20 | 2008 | 7 |
About Navid Ghaffarzadegan
Navid Ghaffarzadegan is a scholar working on Modeling and Simulation, Management Science and Operations Research, Health Informatics, General Social Sciences and Statistics, Probability and Uncertainty, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Systems and Decision Making (16 papers), COVID-19 epidemiological studies (16 papers), COVID-19 Pandemic Impacts (7 papers), Doctoral Education Challenges and Solutions (7 papers), Cognitive Science and Mapping (7 papers), Health and Medical Research Impacts (6 papers), Innovation Diffusion and Forecasting (5 papers) and Mental Health Research Topics (4 papers). The work is most often cited by research in Modeling and Simulation (183 citations), Management Science and Operations Research (320 citations), General Decision Sciences (18 citations), General Health Professions (237 citations) and Statistics, Probability and Uncertainty (61 citations). Navid Ghaffarzadegan has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Richard C. Larson, George P. Richardson, Yi Xue, Hazhir Rahmandad, Joshua D. Hawley, Ran Xu, Mohammad S. Jalali, José Guevara, Michael J. Garvin and Niyousha Hosseinichimeh. Their work appears in journals such as System Dynamics Review, Systems Research and Behavioral Science, PLoS ONE, Scientific Reports and Mathematical Biosciences.
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.