Omid Mirzaei
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Co-authors
- Mahdi YaghoobiJosé M. de FuentesJuan TapiadorLorena González‐ManzanoGuillermo Suárez‐TangilGianluca StringhiniEngin KirdaAmin Kharraz
- Topics
- Advanced Malware Detection Techniques (5 papers)Spam and Phishing Detection (3 papers)Chaos-based Image/Signal Encryption (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaFuture Generation Computer SystemsNonlinear Dynamics
- Partner nations
- SpainIranUnited Kingdom
In The Last Decade
Omid Mirzaei
10 papers receiving 321 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 210
- Signal Processing 88
- Computer Networks and Communications 78
- Computational Theory and Mathematics 70
- Artificial Intelligence 69
Countries citing papers authored by Omid Mirzaei
This map shows the geographic impact of Omid Mirzaei'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 Omid Mirzaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omid Mirzaei more than expected).
Fields of papers citing papers by Omid Mirzaei
This network shows the impact of papers produced by Omid Mirzaei. 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 Omid Mirzaei. The network helps show where Omid Mirzaei may publish in the future.
Co-authorship network of co-authors of Omid Mirzaei
This figure shows the co-authorship network connecting the top 25 collaborators of Omid Mirzaei. A scholar is included among the top collaborators of Omid Mirzaei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Omid Mirzaei. Omid Mirzaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Techniques for advanced android malware triage | 1 |
| 3 | 24 | |
| 4 | 46 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | Novel Learning Algorithm based on a Multi-Agent Structure for Solving Multi-Mode Resource-Constrained Project Scheduling Problem | 8 |
| 11 | 200 | |
| 12 | Offline Signature Recognition using Modular Neural Networks with Fuzzy Response Integration | 7 |
About Omid Mirzaei
Omid Mirzaei is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 12 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (5 papers), Spam and Phishing Detection (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Software (38 citations) and Signal Processing (88 citations). Omid Mirzaei has collaborated with scholars based in Spain, Iran and United Kingdom. Frequent co-authors include Mahdi Yaghoobi, José M. de Fuentes, Juan Tapiador, Lorena González‐Manzano, Guillermo Suárez‐Tangil, Gianluca Stringhini, Engin Kirda, Amin Kharraz and Hamid Reza Pourreza. Their work appears in journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and Nonlinear Dynamics.
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.