Pooyan Jamshidi

5.3k citations
86 papers · 2.8k indexed · 4 hit papers · h-index 25

Pooyan Jamshidi

83 papers receiving 2.7k citations

Hit Papers

Microservices: The Journey So Far and Challenges Ahead3112013202620172021100200300400

Peers

Pooyan Jamshidi
Comparison fields: 5 of 106
  • Computer Networks and Communications 2.0k
  • Information Systems 2.0k
  • Software 211
  • Artificial Intelligence 828
  • Management Information Systems 210
Replace Jun Han with:
Jun Han Australia
Guofei Jiang United States
Satish Narayana Srirama Estonia
Marin Litoiu Canada
Hassan Gomaa United States
Antonio Brogi Italy
Philipp Leitner Sweden
Thaı́s Batista Brazil
Grace A. Lewis United States
Rami Bahsoon United Kingdom
Pooyan Jamshidi relative to Jun Han Australia Jun Han's profile →
Citations per field
00.5×3.0×
Jun Han · 1×
Citations per year

Countries citing papers authored by Pooyan Jamshidi

Since Specialization
Citations

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

Fields of papers citing papers by Pooyan Jamshidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Pooyan Jamshidi, 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 Pooyan Jamshidi Line = papers co-authored together Pooyan Jamshidi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20232
4 20210
5
Learning LWF Chain Graphs: A Markov Blanket Discovery Approach.
20201
6 201916
7 201859
8 201742
9
Cloud Container Technologies: A State-of-the-Art Reviewbreakdown →
2017257
10 201744
11 201714
12 201788
13 2016153
14 20160
15
Cloud Migration Patterns: A Multi-Cloud Service Architecture Perspective.
20142
16 201410
17 201359
18 20125
19 20123
20
Measuring Service Cohesion Using Latent Semantic Indexing
20112

About Pooyan Jamshidi

Pooyan Jamshidi is a scholar working on Information Systems, Software and Computer Networks and Communications, having authored 86 papers that have together received 2.8k indexed citations. Recurring topics across this work include Software System Performance and Reliability (42 papers), Advanced Software Engineering Methodologies (37 papers), Service-Oriented Architecture and Web Services (34 papers), Software Engineering Research (23 papers), Cloud Computing and Resource Management (20 papers), Business Process Modeling and Analysis (13 papers), Software Engineering Techniques and Practices (9 papers) and IoT and Edge/Fog Computing (8 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Information Systems (2.0k citations) and Software (211 citations). Pooyan Jamshidi has collaborated with scholars based in United States, Ireland and Iran. Frequent co-authors include Claus Pahl, Abbas Heydarnoori, Aakash Ahmad, Nabor C. Mendonça, Antonio Brogi, Jacopo Soldani, James W. Lewis, Hamid Arabnejad, Giovani Estrada and Giuliano Casale. Their work appears in journals such as SHILAP Revista de lepidopterología, Physical Chemistry Chemical Physics and Future Generation Computer Systems.

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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