Javad Soroor

520 citations
18 papers · 368 indexed · h-index 11

Javad Soroor

18 papers receiving 337 citations

Peers

Javad Soroor
Comparison fields: 5 of 61
  • Management Information Systems 190
  • Strategy and Management 152
  • Management of Technology and Innovation 62
  • Management Science and Operations Research 91
  • Industrial and Manufacturing Engineering 55
Replace Ralph W.L. Ip with:
Ralph W.L. Ip Hong Kong
John Paul Kawalek United Kingdom
Ceyda Güngör Şen Türkiye
Sharon M. Ordoobadi United States
Mazaher Ghorbani Iran
Mehmet Tanyaş Türkiye
S. Mohammad Arabzad Iran
Andreas Otto Germany
Senevi Kiridena Australia
Eero Eloranta Finland
Javad Soroor relative to Ralph W.L. Ip Hong Kong Ralph W.L. Ip's profile →
Citations per field
00.5×3.2×
Ralph W.L. Ip · 1×
Citations per year

Countries citing papers authored by Javad Soroor

Since Specialization
Citations

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

Fields of papers citing papers by Javad Soroor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Javad Soroor, 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 Javad Soroor Line = papers co-authored together Javad Soroor links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201958
2 201215
3 201224
4 20121
5 201128
6 20117
7 20111
8 200946
9 200838
10 200838
11 200812
12 20083
13 20067
14 200619
15 200630
16 200634
17
Implementation of a Secure Internet/Mobile Banking Systemin Iran
20053
18 20054

About Javad Soroor

Javad Soroor is a scholar working on Management Information Systems, Management of Technology and Innovation and Management Science and Operations Research, having authored 18 papers that have together received 368 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (6 papers), Mobile Agent-Based Network Management (6 papers), Multi-Agent Systems and Negotiation (5 papers), Quality Function Deployment in Product Design (4 papers), Multi-Criteria Decision Making (4 papers), Quality and Supply Management (4 papers), Service-Oriented Architecture and Web Services (3 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Management Information Systems (190 citations), Strategy and Management (152 citations) and Management of Technology and Innovation (62 citations). Javad Soroor has collaborated with scholars based in Iran. Frequent co-authors include Mohammad Jafar Tarokh, Ali Shemshadi, Mohsen Akbarpour Shirazi, Mostafa Hajiaghaei–Keshteli, Amirhossein Salehi-Amiri, Ali Zahedi, Hossein Abbasimehr, Mostafa Setak and Farid Khoshalhan. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Research and Automation in Construction.

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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