Raihani Mohamed
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Biomedical Engineering
- Co-authors
- Thinagaran PerumalNorwati MustaphaMd. Nasir SulaimanAida MustaphaChong HouErvin Gubin MoungMohamed HashemFarashazillah Yahya
- Topics
- Context-Aware Activity Recognition Systems (10 papers)IoT-based Smart Home Systems (6 papers)Online Learning and Analytics (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurocomputingFuture Internet
In The Last Decade
Raihani Mohamed
24 papers receiving 193 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 95
- Artificial Intelligence 77
- Electrical and Electronic Engineering 47
- Computer Networks and Communications 40
- Biomedical Engineering 27
Countries citing papers authored by Raihani Mohamed
This map shows the geographic impact of Raihani Mohamed'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 Raihani Mohamed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raihani Mohamed more than expected).
Fields of papers citing papers by Raihani Mohamed
This network shows the impact of papers produced by Raihani Mohamed. 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 Raihani Mohamed. The network helps show where Raihani Mohamed may publish in the future.
Co-authorship network of co-authors of Raihani Mohamed
This figure shows the co-authorship network connecting the top 25 collaborators of Raihani Mohamed. A scholar is included among the top collaborators of Raihani Mohamed 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 Raihani Mohamed. Raihani Mohamed 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 | 2 | |
| 3 | 1 | |
| 4 | 41 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Comparison of Expectation Maximization and K-means Clustering Algorithms with Ensemble Classifier Model | 2 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 16 | |
| 16 | Tracking and Recognizing the Activity of Multi Resident in Smart Home Environments | 11 |
| 17 | 8 | |
| 18 | 8 | |
| 19 | 24 | |
| 20 | 7 |
About Raihani Mohamed
Raihani Mohamed is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Ecological Modeling, having authored 26 papers that have together received 203 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), IoT-based Smart Home Systems (6 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (95 citations), Artificial Intelligence (77 citations) and Health Informatics (3 citations). Raihani Mohamed has collaborated with scholars based in Malaysia, Indonesia and Japan. Frequent co-authors include Thinagaran Perumal, Norwati Mustapha, Md. Nasir Sulaiman, Aida Mustapha, Chong Hou, Ervin Gubin Moung, Mohamed Hashem, Farashazillah Yahya, Hendradi Hardhienata and Razali Yaakob. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Future Internet.
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.