Saeed Sharifian

71 papers receiving 1.0k citations

Peers

Saeed Sharifian
Comparison fields: 5 of 80
  • Computer Networks and Communications 632
  • Information Systems 478
  • Electrical and Electronic Engineering 274
  • Artificial Intelligence 234
  • Computer Vision and Pattern Recognition 160
Replace Guoming Tang with:
Guoming Tang China
Amirreza Niakanlahiji United States
Abolfazl Toroghi Haghighat Iran
Nicola Cordeschi Italy
Sghaier Guizani Saudi Arabia
Zahra Pooranian Italy
Sara Ayoubi Canada
Zhipeng Gao China
Aris Leivadeas Canada
Leyli Mohammad Khanli Iran
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Citations per field
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Citations per year

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
#WorkIndexed citations
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New six-phase on-line resource management process for energy and sla efficient consolidation in cloud data centers.
3
10 1
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Multi Target Dynamic VM Consolidation in Cloud Data Centers Using Genetic Algorithm.
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12 34
13 6
14 2
15 25
16 7
17 64
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Intelligent adaptive multi-parameter migration model for load balancing virtualized cluster of servers
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19 27
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SPEAKER ADAPTATION IN CONTINUOUS SPEECH RECOGNITION USING MLLR-BASED MAP ESTIMATION
1

About Saeed Sharifian

Saeed Sharifian is a scholar working on Computer Networks and Communications, Information Systems and Neurology, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (32 papers), IoT and Edge/Fog Computing (24 papers) and Software-Defined Networks and 5G (10 papers). The work is most often cited by research in Computer Networks and Communications (632 citations), Information Systems (478 citations) and Computer Vision and Pattern Recognition (160 citations). Saeed Sharifian has collaborated with scholars based in Iran and United States. Frequent 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. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing and Energies.

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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