Omar AlShorman
- Control and Systems Engineering top 5%
- Mechanical Engineering top 10%
- Mechanics of Materials top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Mahmoud MasadehMuhammad IrfanAhmad AlshormanAdam GłowaczNordin SaadDong ZhenNoman HaiderMahmood Al-khassaweneh
- Topics
- Machine Fault Diagnosis Techniques (7 papers)Gear and Bearing Dynamics Analysis (4 papers)Engineering Diagnostics and Reliability (4 papers)
- Partner nations
- Saudi ArabiaJordanChina
In The Last Decade
Omar AlShorman
33 papers receiving 809 citations
Peers
Comparison fields: 5 of 114
- Control and Systems Engineering 364
- Mechanical Engineering 220
- Mechanics of Materials 159
- Artificial Intelligence 101
- Electrical and Electronic Engineering 83
Countries citing papers authored by Omar AlShorman
This map shows the geographic impact of Omar AlShorman'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 Omar AlShorman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar AlShorman more than expected).
Fields of papers citing papers by Omar AlShorman
This network shows the impact of papers produced by Omar AlShorman. 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 Omar AlShorman. The network helps show where Omar AlShorman may publish in the future.
Co-authorship network of co-authors of Omar AlShorman
This figure shows the co-authorship network connecting the top 25 collaborators of Omar AlShorman. A scholar is included among the top collaborators of Omar AlShorman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Omar AlShorman. Omar AlShorman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 45 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 12 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 16 | |
| 11 | Learning and Memory under Stress: A Review Study with Evaluation Techniques | 1 |
| 12 | 15 | |
| 13 | 8 | |
| 14 | 14 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | 20 | |
| 18 | 2 | |
| 19 | 57 | |
| 20 | 172 |
About Omar AlShorman
Omar AlShorman is a scholar working on Health Information Management, Behavioral Neuroscience and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 847 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (7 papers), Gear and Bearing Dynamics Analysis (4 papers) and Engineering Diagnostics and Reliability (4 papers). The work is most often cited by research in Control and Systems Engineering (364 citations), Health Information Management (34 citations) and Mechanics of Materials (159 citations). Omar AlShorman has collaborated with scholars based in Saudi Arabia, Jordan and China. Frequent co-authors include Mahmoud Masadeh, Muhammad Irfan, Ahmad Alshorman, Adam Głowacz, Nordin Saad, Dong Zhen, Noman Haider, Mahmood Al-khassaweneh, Faisal Althobiani and W. Głowacz. Their work appears in journals such as Sensors, Materials and Engineering Applications of Artificial Intelligence.
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.