Mo Mansouri

100 papers receiving 1.1k citations

Peers

Mo Mansouri
Comparison fields: 5 of 112
  • Strategy and Management 368
  • Radiological and Ultrasound Technology 85
  • Health Informatics 23
  • Statistics, Probability and Uncertainty 122
  • Management Information Systems 147
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Josune Hernantes Spain
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İbrahim Yitmen Sweden
Phong Thanh Nguyen Vietnam
Ana Paula Cabral Seixas Costa Brazil
Sepehr Ghazinoory Iran
Suresh Renukappa United Kingdom
Abbas Keramati Iran
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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 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010207
2 2012108
3 201479
4 201072
5 201059
6 200933
7 201433
8 200930
9 201824
10 202024
11 201323
12 200922
13 201121
14 200921
15 201217
16 201515
17 201114
18 202313
19 202311
20 200911

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 112 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Systems and Decision Making (37 papers), Systems Engineering Methodologies and Applications (29 papers), Technology Assessment and Management (13 papers), Supply Chain Resilience and Risk Management (12 papers), Environmental Education and Sustainability (7 papers), Innovation Diffusion and Forecasting (7 papers), Innovation and Knowledge Management (7 papers) and Infrastructure Resilience and Vulnerability Analysis (6 papers). The work is most often cited by research in Strategy and Management (368 citations), Radiological and Ultrasound Technology (85 citations), Health Informatics (23 citations), Statistics, Probability and Uncertainty (122 citations) and Management Information Systems (147 citations). Mo Mansouri has collaborated with scholars based in United States, Norway and Australia. Frequent co-authors include Ali Mostashari, Brian Sauser, 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, Systems Engineering, Enterprise Information Systems and Engineering Management Journal.

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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