Mo Mansouri

92 papers receiving 976 citations

Peers

Mo Mansouri
Comparison fields: 5 of 110
  • Strategy and Management 342
  • Health Informatics 22
  • Radiological and Ultrasound Technology 80
  • Statistics, Probability and Uncertainty 119
  • Management Information Systems 137
Replace İbrahim Yitmen with:
İbrahim Yitmen Sweden
Subashini Suresh United Kingdom
Josune Hernantes Spain
Ana Paula Cabral Seixas Costa Brazil
Suresh Renukappa United Kingdom
Bankole Awuzie South Africa
Konstantinos Kirytopoulos Greece
Marcos dos Santos Brazil
Zheng Liu China
Kefan Xie China
Mo Mansouri relative to İbrahim Yitmen Sweden İbrahim Yitmen's profile →
Citations per field
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İbrahim Yitmen · 1×
Citations per year

Countries citing papers authored by Mo Mansouri

Since Specialization
Citations

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

Fields of papers citing papers by Mo Mansouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010185
2 2012106
3 201070
4 201464
5 201055
6 200932
7 200930
8 202024
9 201424
10 201822
11 200921
12 200920
13 201119
14 201316
15 201214
16 202313
17 201512
18 202311
19 201111
20 202211

About Mo Mansouri

Mo Mansouri is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Strategy and Management, Safety, Risk, Reliability and Quality and Management Information Systems, having authored 101 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Systems and Decision Making (33 papers), Systems Engineering Methodologies and Applications (26 papers), Technology Assessment and Management (13 papers), Supply Chain Resilience and Risk Management (12 papers), Environmental Education and Sustainability (7 papers), Infrastructure Resilience and Vulnerability Analysis (6 papers), Innovation and Knowledge Management (6 papers) and Information Technology Governance and Strategy (6 papers). The work is most often cited by research in Strategy and Management (342 citations), Health Informatics (22 citations), Radiological and Ultrasound Technology (80 citations), Statistics, Probability and Uncertainty (119 citations) and Management Information Systems (137 citations). Mo Mansouri has collaborated with scholars based in United States, Norway and Australia. Frequent co-authors include Brian Sauser, Ali Mostashari, Özgür Erol, Roshanak Nilchiani, Mayada Omer, Hamid Darabi, Bijun Wang, Alex Gorod, Devanandham Henry and Onur Asan. Their work appears in journals such as IEEE Systems Journal, Journal of Homeland Security and Emergency Management, IEEE Aerospace and Electronic Systems Magazine, International Journal of Industrial and Systems Engineering and Maritime Policy & Management.

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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