Saeed Sharifian

1.6k total citations
76 papers, 1.1k citations indexed

About

Saeed Sharifian is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Saeed Sharifian has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Networks and Communications, 34 papers in Information Systems and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Saeed Sharifian's work include Cloud Computing and Resource Management (32 papers), IoT and Edge/Fog Computing (24 papers) and Software-Defined Networks and 5G (10 papers). Saeed Sharifian is often cited by papers focused on Cloud Computing and Resource Management (32 papers), IoT and Edge/Fog Computing (24 papers) and Software-Defined Networks and 5G (10 papers). Saeed Sharifian collaborates with scholars based in Iran and United States. Saeed Sharifian's co-authors include Hassan Taheri, Seyed Ahmad Motamedi, Ehsan Arianyan, Shima Rashidi, Abolfazl Soltani, Masoud Barati, Mohammad Kazem Akbari, Ali Zamani, Aref Miri Rekavandi and Morteza Nazari‐Heris and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Energies.

In The Last Decade

Saeed Sharifian

71 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saeed Sharifian Iran 20 632 478 274 234 160 76 1.1k
Amirreza Niakanlahiji United States 8 846 1.3× 468 1.0× 254 0.9× 168 0.7× 165 1.0× 15 1.1k
Abolfazl Toroghi Haghighat Iran 21 1.0k 1.6× 407 0.9× 399 1.5× 188 0.8× 121 0.8× 123 1.3k
Guoming Tang China 20 656 1.0× 258 0.5× 442 1.6× 206 0.9× 139 0.9× 84 1.1k
Nicola Cordeschi Italy 17 866 1.4× 420 0.9× 599 2.2× 147 0.6× 110 0.7× 71 1.2k
Zahra Pooranian Italy 20 755 1.2× 333 0.7× 286 1.0× 253 1.1× 98 0.6× 37 1.1k
Zhipeng Gao China 20 687 1.1× 427 0.9× 252 0.9× 339 1.4× 146 0.9× 153 1.2k
Sghaier Guizani Saudi Arabia 12 955 1.5× 262 0.5× 474 1.7× 249 1.1× 181 1.1× 45 1.4k
Aris Leivadeas Canada 18 1.1k 1.7× 442 0.9× 357 1.3× 145 0.6× 102 0.6× 89 1.3k
Sara Ayoubi Canada 13 1.1k 1.8× 244 0.5× 485 1.8× 410 1.8× 145 0.9× 33 1.4k
Jianli Pan United States 18 1.5k 2.4× 621 1.3× 514 1.9× 293 1.3× 195 1.2× 47 2.0k

Countries citing papers authored by Saeed Sharifian

Since Specialization
Citations

This map shows the geographic impact of Saeed Sharifian'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 Saeed Sharifian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Sharifian more than expected).

Fields of papers citing papers by Saeed Sharifian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saeed Sharifian. 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 Saeed Sharifian. The network helps show where Saeed Sharifian may publish in the future.

Co-authorship network of co-authors of Saeed Sharifian

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Sharifian. A scholar is included among the top collaborators of Saeed Sharifian 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 Saeed Sharifian. Saeed Sharifian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sharifian, Saeed, et al.. (2025). Explainable AI enhanced transformer based UNet for medical images segmentation using gradient weighted class activation map. Signal Image and Video Processing. 19(4). 1 indexed citations
2.
Sharifian, Saeed, et al.. (2025). EdgePVM: A serverless satellite edge computing constellation for changes detection using onboard parallel siamese vision MAMBA. Future Generation Computer Systems. 174. 107985–107985.
3.
Sharifian, Saeed, et al.. (2025). SAMSAR: A modified SAM architecture for oceanic ship segmentation of satellite SAR images using CNN-based Cross-Fused Attention. Expert Systems with Applications. 284. 127852–127852. 1 indexed citations
4.
Zamani, Mohammad Reza & Saeed Sharifian. (2024). Distributed edge to cloud ensemble deep learning architecture to diagnose Covid-19 from lung image in IoT based e-Health system. The Journal of Supercomputing. 80(13). 18492–18520.
5.
Sharifian, Saeed, et al.. (2024). A deep reinforcement learning approach towards distributed Function as a Service (FaaS) based edge application orchestration in cloud-edge continuum. Journal of Network and Computer Applications. 233. 104042–104042. 4 indexed citations
6.
Sharifian, Saeed, et al.. (2023). A scalable modified deep reinforcement learning algorithm for serverless IoT microservice composition infrastructure in fog layer. Future Generation Computer Systems. 153. 206–221. 12 indexed citations
7.
8.
Motamedi, Seyed Ahmad, et al.. (2021). Intelligent Service Selection in a Multi-Dimensional Environment of Cloud Providers for Internet of Things Stream Data through Cloudlets. Energies. 14(24). 8601–8601. 14 indexed citations
9.
Arianyan, Ehsan, et al.. (2018). New six-phase on-line resource management process for energy and sla efficient consolidation in cloud data centers.. The International Arab Journal of Information Technology. 15. 10–20. 3 indexed citations
10.
Sharifian, Saeed, et al.. (2018). Virtual sensor as a service: a new multicriteria QoS-aware cloud service composition for IoT applications. The Journal of Supercomputing. 74(10). 5485–5512. 26 indexed citations
11.
Sharifian, Saeed, et al.. (2017). A load and delay-aware internet of things virtual sensors service assignment in Cloud. 2171–2175. 1 indexed citations
12.
Arianyan, Ehsan, Hassan Taheri, & Saeed Sharifian. (2016). Multi Target Dynamic VM Consolidation in Cloud Data Centers Using Genetic Algorithm.. Journal of information science and engineering. 32. 1575–1593. 4 indexed citations
13.
Sharifian, Saeed, et al.. (2016). FPGA-based convolutional neural network accelerator design using high level synthesize. 1–6. 34 indexed citations
14.
Motamedi, Seyed Ahmad, et al.. (2016). Time-based feedback-control framework for real-time video surveillance systems with utilization control. Journal of Real-Time Image Processing. 16(4). 1301–1316. 6 indexed citations
15.
Taheri, Hassan, et al.. (2015). Dynamic prediction scheduling for virtual machine placement via ant colony optimization. 104–108. 25 indexed citations
16.
17.
Soltani, Abolfazl & Saeed Sharifian. (2015). An ultra-high throughput and fully pipelined implementation of AES algorithm on FPGA. Microprocessors and Microsystems. 39(7). 480–493. 64 indexed citations
18.
Motamedi, Seyed Ahmad, et al.. (2014). Intelligent adaptive multi-parameter migration model for load balancing virtualized cluster of servers. Tehnicki vjesnik - Technical Gazette. 21(4). 763–772. 1 indexed citations
19.
Sharifian, Saeed, Seyed Ahmad Motamedi, & Mohammad Kazem Akbari. (2008). A content-based load balancing algorithm with admission control for cluster web servers. Future Generation Computer Systems. 24(8). 775–787. 27 indexed citations
20.
Sharifian, Saeed & Seyed Mohammad Ahadi. (2005). SPEAKER ADAPTATION IN CONTINUOUS SPEECH RECOGNITION USING MLLR-BASED MAP ESTIMATION. 23(2). 39–50. 1 indexed citations

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.

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