Osama Moh’d Alia
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Rajeswari MandavaMohd Ezane AzizDhanesh RamachandramTareq AlhmiedatZarita ZainuddinIbrahim Lutfi ShuaibAhmed AlssweyZyad Shaaban
- Topics
- Energy Efficient Wireless Sensor Networks (5 papers)Energy Harvesting in Wireless Networks (4 papers)Medical Image Segmentation Techniques (4 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInformation Sciences
- Partner nations
- Saudi ArabiaMalaysiaJordan
In The Last Decade
Osama Moh’d Alia
20 papers receiving 632 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 238
- Computer Networks and Communications 217
- Electrical and Electronic Engineering 182
- Computer Vision and Pattern Recognition 162
- Computational Theory and Mathematics 92
Countries citing papers authored by Osama Moh’d Alia
This map shows the geographic impact of Osama Moh’d Alia'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 Osama Moh’d Alia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Osama Moh’d Alia more than expected).
Fields of papers citing papers by Osama Moh’d Alia
This network shows the impact of papers produced by Osama Moh’d Alia. 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 Osama Moh’d Alia. The network helps show where Osama Moh’d Alia may publish in the future.
Co-authorship network of co-authors of Osama Moh’d Alia
This figure shows the co-authorship network connecting the top 25 collaborators of Osama Moh’d Alia. A scholar is included among the top collaborators of Osama Moh’d Alia 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 Osama Moh’d Alia. Osama Moh’d Alia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 11 | |
| 3 | 22 | |
| 4 | 18 | |
| 5 | 6 | |
| 6 | 24 | |
| 7 | 62 | |
| 8 | 97 | |
| 9 | 7 | |
| 10 | 35 | |
| 11 | 13 | |
| 12 | 13 | |
| 13 | 190 | |
| 14 | 39 | |
| 15 | 20 | |
| 16 | 18 | |
| 17 | 23 | |
| 18 | 28 | |
| 19 | 11 | |
| 20 | 9 |
About Osama Moh’d Alia
Osama Moh’d Alia is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Ocean Engineering, having authored 20 papers that have together received 663 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (5 papers), Energy Harvesting in Wireless Networks (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (217 citations), Computer Vision and Pattern Recognition (162 citations) and Artificial Intelligence (238 citations). Osama Moh’d Alia has collaborated with scholars based in Saudi Arabia, Malaysia and Jordan. Frequent co-authors include Rajeswari Mandava, Mohd Ezane Aziz, Dhanesh Ramachandram, Tareq Alhmiedat, Zarita Zainuddin, Ibrahim Lutfi Shuaib, Ahmed Alsswey, Zyad Shaaban, Laith Abualigah and Ahmad Abubakar Suleiman. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Information Sciences.
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.