Hamidreza Alvari
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Spam and Phishing Detection
- Cybercrime and Law Enforcement Studies
Papers in
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- Complex Network Analysis Techniques 7
- Opinion Dynamics and Social Influence 6
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- Spam and Phishing Detection 4
- Cybercrime and Law Enforcement Studies 2
- Co-authors
- Paulo Shakarian (5 shared papers)Sattar Hashemi (4 shared papers)Ali Hamzeh (4 shared papers)Gita Sukthankar (2 shared papers)Kiran Lakkaraju (1 shared paper)Bahar Salehi (1 shared paper)Seyed Mehdi Hazrati Fard (1 shared paper)
- Journals
- Social Network Analysis and Mining (1 paper)AI Communications (1 paper)SpringerBriefs in computer science (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)International Journal of Computer Theory and Engineering (1 paper)
- Partner nations
- United StatesIran
In The Last Decade
Hamidreza Alvari
12 papers receiving 128 citations
Peers
Comparison fields: 5 of 31
- Statistical and Nonlinear Physics 74
- Information Systems 37
- Communication 8
- Artificial Intelligence 36
- Sociology and Political Science 42
Countries citing papers authored by Hamidreza Alvari
This map shows the geographic impact of Hamidreza Alvari'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 Hamidreza Alvari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamidreza Alvari more than expected).
Fields of papers citing papers by Hamidreza Alvari
This network shows the impact of papers produced by Hamidreza Alvari. 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 Hamidreza Alvari. The network helps show where Hamidreza Alvari may publish in the future.
Co-authors
The 7 scholars most cited alongside Hamidreza Alvari, 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 | 2017 | 43 | |
| 2 | 2014 | 24 | |
| 3 | 2013 | 14 | |
| 4 | 2012 | 13 | |
| 5 | 2012 | 13 | |
| 6 | 2016 | 10 | |
| 7 | 2018 | 6 | |
| 8 | 2012 | 3 | |
| 9 | 2013 | 3 | |
| 10 | 2016 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2021 | 1 |
About Hamidreza Alvari
Hamidreza Alvari is a scholar working on Statistical and Nonlinear Physics, Information Systems, Management Science and Operations Research, Artificial Intelligence and Communication, having authored 12 papers that have together received 133 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (6 papers), Spam and Phishing Detection (4 papers), Game Theory and Applications (3 papers), Cybercrime and Law Enforcement Studies (2 papers), Data-Driven Disease Surveillance (1 paper), Mental Health Research Topics (1 paper) and Hate Speech and Cyberbullying Detection (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (74 citations), Information Systems (37 citations), Communication (8 citations), Artificial Intelligence (36 citations) and Sociology and Political Science (42 citations). Hamidreza Alvari has collaborated with scholars based in United States and Iran. Frequent co-authors include Paulo Shakarian, Sattar Hashemi, Ali Hamzeh, Gita Sukthankar, Kiran Lakkaraju, Bahar Salehi and Seyed Mehdi Hazrati Fard. Their work appears in journals such as Social Network Analysis and Mining, AI Communications, SpringerBriefs in computer science, DOAJ (DOAJ: Directory of Open Access Journals) and International Journal of Computer Theory and Engineering.
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.