Saeed Parsa

1.7k citations
122 papers · 1.1k · h-index 18

Impact in

  • Software top 2%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Cloud Computing and Resource Management

Papers in

Saeed Parsa

110 papers receiving 995 citations

Peers

Saeed Parsa
Comparison fields: 5 of 109
  • Software 244
  • Information Systems 562
  • Computer Networks and Communications 490
  • Hardware and Architecture 135
  • Signal Processing 169
Replace Linpeng Huang with:
Linpeng Huang China
Mercedes G. Merayo Spain
Xiaoguang Mao China
Xiao Chen China
Emiliano Tramontana Italy
Silvia Chiusano Italy
Javam C. Machado Brazil
Martín Ochoa Singapore
Haixin Duan China
Wenchang Shi China
Saeed Parsa relative to Linpeng Huang China Linpeng Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Saeed Parsa

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Parsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saeed Parsa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saeed Parsa Line = papers co-authored together Saeed Parsa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2
RASA: A New Task Scheduling Algorithm in Grid Environment
200978
3 201764
4 200958
5
RASA-A New Grid Task Scheduling Algorithm.
200956
6 202338
7 201934
8 201932
9 201026
10 201525
11 201823
12 200923
13 202022
14 202122
15 202021
16 202119
17 202318
18 200617
19 202014
20 201814

About Saeed Parsa

Saeed Parsa is a scholar working on Information Systems, Computer Networks and Communications, Software, Hardware and Architecture and Artificial Intelligence, having authored 122 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (43 papers), Software Engineering Research (32 papers), Software Reliability and Analysis Research (30 papers), Distributed and Parallel Computing Systems (20 papers), Parallel Computing and Optimization Techniques (17 papers), Advanced Malware Detection Techniques (14 papers), Software System Performance and Reliability (14 papers) and Cloud Computing and Resource Management (12 papers). The work is most often cited by research in Software (244 citations), Information Systems (562 citations), Computer Networks and Communications (490 citations), Hardware and Architecture (135 citations) and Signal Processing (169 citations). Saeed Parsa has collaborated with scholars based in Iran, United States and Italy. Frequent co-authors include Reza Entezari‐Maleki, Mohammad Ali Jabraeil Jamali, Mauro Conti, Shahriar Lotfi, Mehdi Moradi, Morteza Safi, Alireza Khalilian, Isa Khaheshi, Mohammad Javad Amiri and Mohammad Hasan Namazi. Their work appears in journals such as Journal of Systems and Software, Information and Software Technology, ETRI Journal, Software Quality Journal and Journal of Computer Virology and Hacking Techniques.

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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