Sima Sinaei
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Anomaly Detection Techniques and Applications
- Cryptography and Data Security
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Data Classification
Papers in
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- Privacy-Preserving Technologies in Data 7
- Cryptography and Data Security 3
- Internet Traffic Analysis and Secure E-voting 2
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- VLSI and FPGA Design Techniques 2
- Co-authors
- Masoud Daneshtalab (4 shared papers)Mohammad Loni (1 shared paper)Mikael Sjödin (1 shared paper)Francesco Flammini (3 shared papers)Ali Balador (3 shared papers)Ehsan Nowroozi (3 shared papers)Rakesh Shrestha (5 shared papers)Omid Fatemi (5 shared papers)
In The Last Decade
Sima Sinaei
18 papers receiving 203 citations
Peers
Comparison fields: 5 of 55
- Health Informatics 5
- Artificial Intelligence 109
- Computer Vision and Pattern Recognition 42
- Hardware and Architecture 12
- Computer Networks and Communications 35
Countries citing papers authored by Sima Sinaei
This map shows the geographic impact of Sima Sinaei'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 Sima Sinaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sima Sinaei more than expected).
Fields of papers citing papers by Sima Sinaei
This network shows the impact of papers produced by Sima Sinaei. 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 Sima Sinaei. The network helps show where Sima Sinaei may publish in the future.
Co-authors
The 16 scholars most cited alongside Sima Sinaei, 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 | 2020 | 83 | |
| 2 | 2024 | 44 | |
| 3 | 2024 | 28 | |
| 4 | 2021 | 9 | |
| 5 | 2023 | 7 | |
| 6 | 2021 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2025 | 4 | |
| 10 | 2018 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 0 |
About Sima Sinaei
Sima Sinaei is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture and Control and Systems Engineering, having authored 19 papers that have together received 208 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (7 papers), Embedded Systems Design Techniques (5 papers), Parallel Computing and Optimization Techniques (4 papers), Interconnection Networks and Systems (4 papers), Cryptography and Data Security (3 papers), Smart Grid Security and Resilience (3 papers), VLSI and FPGA Design Techniques (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (109 citations), Computer Vision and Pattern Recognition (42 citations), Hardware and Architecture (12 citations) and Computer Networks and Communications (35 citations). Sima Sinaei has collaborated with scholars based in Sweden, Iran and Italy. Frequent co-authors include Masoud Daneshtalab, Mohammad Loni, Mikael Sjödin, Francesco Flammini, Ali Balador, Ehsan Nowroozi, Rakesh Shrestha, Omid Fatemi, Anders Lindgren and Mostafa E. Salehi. Their work appears in journals such as Journal of Parallel and Distributed Computing, Journal of Systems Architecture, IEEE Open Journal of the Communications Society, IEEE Design and Test and The Journal of Supercomputing.
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.