Amir Ghasemian
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- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 2
- Communication top 5%
- Social Media and Politics 4
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks 3
- Hate Speech and Cyberbullying Detection 2
- Sociology and Political Science top 10%
- Media Influence and Politics 2
- Misinformation and Its Impacts 2
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Aaron ClausetHoma HosseinmardiDuncan J. WattsEdoardo M. AiroldiAram GalstyanMarkus MöbiusDavid RothschildPan Zhang
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature Communications (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesIranSouth Korea
In The Last Decade
Amir Ghasemian
14 papers receiving 418 citations
Peers
Comparison fields: 5 of 79
- Statistical and Nonlinear Physics 211
- Communication 92
- Artificial Intelligence 161
- Transportation 19
- Sociology and Political Science 117
Countries citing papers authored by Amir Ghasemian
This map shows the geographic impact of Amir Ghasemian'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 Amir Ghasemian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Ghasemian more than expected).
Fields of papers citing papers by Amir Ghasemian
This network shows the impact of papers produced by Amir Ghasemian. 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 Amir Ghasemian. The network helps show where Amir Ghasemian may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Amir Ghasemian, 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 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 98 | |
| 10 | 2020 | 86 | |
| 11 | 2019 | 85 | |
| 12 | 2017 | 0 | |
| 13 | 2016 | 69 | |
| 14 | Analyzing Negative User Behavior in a Semi-anonymous Social Network | 2014 | 10 |
| 15 | 2014 | 48 |
About Amir Ghasemian
Amir Ghasemian is a scholar working on Computational Mathematics, Research and Theory and Communication, having authored 15 papers that have together received 434 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Social Media and Politics (4 papers), Advanced Graph Neural Networks (3 papers), Media Influence and Politics (2 papers), Misinformation and Its Impacts (2 papers), Opinion Dynamics and Social Influence (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (211 citations), Communication (92 citations) and Artificial Intelligence (161 citations). Amir Ghasemian has collaborated with scholars based in United States, Iran and South Korea. Frequent co-authors include Aaron Clauset, Homa Hosseinmardi, Homa Hosseinmardi, Duncan J. Watts, Edoardo M. Airoldi, Aram Galstyan, Markus Möbius, David Rothschild, Pan Zhang and Cristopher Moore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.