Mohammad Omar Khyam
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- Industrial Vision Systems and Defect Detection 4
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- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 3
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- Indoor and Outdoor Localization Technologies 17
- Energy Harvesting in Wireless Networks 4
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- Underwater Vehicles and Communication Systems 14
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- Flow Measurement and Analysis 7
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- Welding Techniques and Residual Stresses 4
- Co-authors
- Xinde LiShuzhi Sam GeMd. Noor‐A‐RahimDirk PeschXianghui LiH. Vincent PoorZilong LiuJianhua He
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterología (1 paper)Proceedings of the IEEE (1 paper)IEEE Transactions on Industrial Electronics (1 paper)
In The Last Decade
Mohammad Omar Khyam
44 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Industrial and Manufacturing Engineering 129
- Computer Vision and Pattern Recognition 234
- Electrical and Electronic Engineering 599
- Computer Networks and Communications 216
- Control and Systems Engineering 172
Countries citing papers authored by Mohammad Omar Khyam
This map shows the geographic impact of Mohammad Omar Khyam'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 Mohammad Omar Khyam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Omar Khyam more than expected).
Fields of papers citing papers by Mohammad Omar Khyam
This network shows the impact of papers produced by Mohammad Omar Khyam. 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 Mohammad Omar Khyam. The network helps show where Mohammad Omar Khyam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammad Omar Khyam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 28 | |
| 2 | 2023 | 45 | |
| 3 | 2022 | 21 | |
| 4 | 6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunitiesbreakdown → | 2022 | 391 |
| 5 | 2022 | 6 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 44 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 17 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 10 | |
| 17 | 2018 | 33 | |
| 18 | 2017 | 9 | |
| 19 | 2014 | 2 | |
| 20 | 2013 | 2 |
About Mohammad Omar Khyam
Mohammad Omar Khyam is a scholar working on Ocean Engineering, Developmental Biology and Electrical and Electronic Engineering, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (17 papers), Underwater Vehicles and Communication Systems (14 papers), Flow Measurement and Analysis (7 papers), Energy Harvesting in Wireless Networks (4 papers), Welding Techniques and Residual Stresses (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Multimodal Machine Learning Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (129 citations), Computer Vision and Pattern Recognition (234 citations) and Electrical and Electronic Engineering (599 citations). Mohammad Omar Khyam has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Xinde Li, Shuzhi Sam Ge, Md. Noor‐A‐Rahim, Dirk Pesch, Xianghui Li, H. Vincent Poor, Zilong Liu, Jianhua He, Haeyoung Lee and Walid Saad. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Industrial Electronics.
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.