Mohammed Alonazi
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Aerospace Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Naif Al MudawiAhmad JalalAbdulwahab AlazebAsaad AlgarniSaud S. AlotaibiHui LiuMaha AbdelhaqNouf Abdullah Almujally
- Topics
- Video Surveillance and Tracking Methods (9 papers)Human Pose and Action Recognition (7 papers)Advanced Neural Network Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- Saudi ArabiaPakistanSouth Korea
In The Last Decade
Mohammed Alonazi
25 papers receiving 438 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 245
- Biomedical Engineering 58
- Aerospace Engineering 51
- Artificial Intelligence 47
- Electrical and Electronic Engineering 45
Countries citing papers authored by Mohammed Alonazi
This map shows the geographic impact of Mohammed Alonazi'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 Mohammed Alonazi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Alonazi more than expected).
Fields of papers citing papers by Mohammed Alonazi
This network shows the impact of papers produced by Mohammed Alonazi. 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 Mohammed Alonazi. The network helps show where Mohammed Alonazi may publish in the future.
Co-authorship network of co-authors of Mohammed Alonazi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Alonazi. A scholar is included among the top collaborators of Mohammed Alonazi 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 Mohammed Alonazi. Mohammed Alonazi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 32 | |
| 5 | 1 | |
| 6 | 24 | |
| 7 | 37 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | Robust human locomotion and localization activity recognition over multisensorybreakdown → | 75 |
| 11 | 31 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 15 | |
| 15 | 48 | |
| 16 | 29 | |
| 17 | 20 | |
| 18 | 21 | |
| 19 | 12 | |
| 20 | 2 |
About Mohammed Alonazi
Mohammed Alonazi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Information Systems and Management, having authored 27 papers that have together received 451 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (7 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (245 citations), Human-Computer Interaction (33 citations) and Media Technology (21 citations). Mohammed Alonazi has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Naif Al Mudawi, Ahmad Jalal, Abdulwahab Alazeb, Asaad Algarni, Saud S. Alotaibi, Hui Liu, Maha Abdelhaq, Nouf Abdullah Almujally, Danyal Z. Khan and Jaekwang Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.