Mohammad Hijji
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Khan MuhammadGulzar AlamSung Wook BaikMuhammad SajjadAmin UllahMohib UllahFaouzi Alaya CheikhFath U Min Ullah
- Topics
- Video Surveillance and Tracking Methods (8 papers)Anomaly Detection Techniques and Applications (5 papers)Advanced Steganography and Watermarking Techniques (4 papers)
- Partner nations
- Saudi ArabiaSouth KoreaPakistan
In The Last Decade
Mohammad Hijji
53 papers receiving 935 citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 329
- Artificial Intelligence 266
- Electrical and Electronic Engineering 152
- Information Systems 139
- Computer Networks and Communications 119
Countries citing papers authored by Mohammad Hijji
This map shows the geographic impact of Mohammad Hijji'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 Hijji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Hijji more than expected).
Fields of papers citing papers by Mohammad Hijji
This network shows the impact of papers produced by Mohammad Hijji. 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 Hijji. The network helps show where Mohammad Hijji may publish in the future.
Co-authorship network of co-authors of Mohammad Hijji
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hijji. A scholar is included among the top collaborators of Mohammad Hijji 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 Mohammad Hijji. Mohammad Hijji 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 13 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 10 | |
| 17 | 5 | |
| 18 | 16 | |
| 19 | 17 | |
| 20 | 47 |
About Mohammad Hijji
Mohammad Hijji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management, having authored 59 papers that have together received 974 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Steganography and Watermarking Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (329 citations), Health Informatics (12 citations) and Artificial Intelligence (266 citations). Mohammad Hijji has collaborated with scholars based in Saudi Arabia, South Korea and Pakistan. Frequent co-authors include Khan Muhammad, Gulzar Alam, Sung Wook Baik, Muhammad Sajjad, Amin Ullah, Mohib Ullah, Faouzi Alaya Cheikh, Fath U Min Ullah, Mohammed M. Alwakeel and Ahmed M. Alwakeel. Their work appears in journals such as IEEE Access, Sensors and ACM Computing Surveys.
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.