Behzad Saemi
Impact in
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
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- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
- Energy Efficient Wireless Sensor Networks
Papers in
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- IoT and Edge/Fog Computing 3
- Energy Efficient Wireless Sensor Networks 1
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- Cloud Computing and Resource Management 2
- Blockchain Technology Applications and Security 1
- Co-authors
- Ali Asghar Rahmani Hosseinabadi (6 shared papers)Arun Kumar Sangaiah (2 shared papers)Javad Vahidi (1 shared paper)Mohamed Elhoseny (1 shared paper)Fariba Goodarzian (1 shared paper)Morteza Babazadeh Shareh (1 shared paper)Gui‐Bin Bian (1 shared paper)Seyedsaeid Mirkamali (2 shared papers)
In The Last Decade
Behzad Saemi
7 papers receiving 265 citations
Peers
Comparison fields: 5 of 56
- Industrial and Manufacturing Engineering 76
- Computer Networks and Communications 112
- Information Systems 85
- Artificial Intelligence 75
- Computational Theory and Mathematics 30
Countries citing papers authored by Behzad Saemi
This map shows the geographic impact of Behzad Saemi'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 Behzad Saemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behzad Saemi more than expected).
Fields of papers citing papers by Behzad Saemi
This network shows the impact of papers produced by Behzad Saemi. 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 Behzad Saemi. The network helps show where Behzad Saemi may publish in the future.
Co-authors
The 13 scholars most cited alongside Behzad Saemi, 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 | 2018 | 135 | |
| 2 | 2019 | 76 | |
| 3 | 2024 | 28 | |
| 4 | 2017 | 16 | |
| 5 | 2023 | 11 | |
| 6 | 2021 | 6 | |
| 7 | 2024 | 2 |
About Behzad Saemi
Behzad Saemi is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 7 papers that have together received 274 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Cloud Computing and Resource Management (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Advanced Clustering Algorithms Research (1 paper), Energy Efficient Wireless Sensor Networks (1 paper), Underwater Vehicles and Communication Systems (1 paper), Blockchain Technology Applications and Security (1 paper) and Traffic Prediction and Management Techniques (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (76 citations), Computer Networks and Communications (112 citations), Information Systems (85 citations), Artificial Intelligence (75 citations) and Computational Theory and Mathematics (30 citations). Behzad Saemi has collaborated with scholars based in Iran, India and Canada. Frequent co-authors include Ali Asghar Rahmani Hosseinabadi, Arun Kumar Sangaiah, Javad Vahidi, Mohamed Elhoseny, Fariba Goodarzian, Morteza Babazadeh Shareh, Gui‐Bin Bian, Seyedsaeid Mirkamali, Valentina Emilia Bălaş and Ajith Abraham. Their work appears in journals such as Engineering Applications of Artificial Intelligence, IEEE Access, Soft Computing, The Journal of Supercomputing and Cluster Computing.
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.