Mohammed Falah Mohammed
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics
- Computer Networks and Communications
- Information Systems
- Co-authors
- Chee Peng LimAbdulghani Ali AhmedTao HaiTaha H. RassemBee Ee KhooNasrin M. MakbolAnas QuteishatMohammed I. Younis
- Topics
- Fuzzy Logic and Control Systems (8 papers)Neural Networks and Applications (7 papers)Image Retrieval and Classification Techniques (5 papers)
In The Last Decade
Mohammed Falah Mohammed
16 papers receiving 246 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 187
- Computer Vision and Pattern Recognition 88
- Computational Theory and Mathematics 30
- Computer Networks and Communications 27
- Information Systems 24
Countries citing papers authored by Mohammed Falah Mohammed
This map shows the geographic impact of Mohammed Falah Mohammed'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 Falah Mohammed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Falah Mohammed more than expected).
Fields of papers citing papers by Mohammed Falah Mohammed
This network shows the impact of papers produced by Mohammed Falah Mohammed. 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 Falah Mohammed. The network helps show where Mohammed Falah Mohammed may publish in the future.
Co-authorship network of co-authors of Mohammed Falah Mohammed
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Falah Mohammed. A scholar is included among the top collaborators of Mohammed Falah Mohammed 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 Falah Mohammed. Mohammed Falah Mohammed 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 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 19 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 35 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 25 | |
| 12 | 27 | |
| 13 | 8 | |
| 14 | 83 | |
| 15 | 10 | |
| 16 | 9 |
About Mohammed Falah Mohammed
Mohammed Falah Mohammed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 16 papers that have together received 263 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (8 papers), Neural Networks and Applications (7 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (187 citations), Computer Vision and Pattern Recognition (88 citations) and Computational Theory and Mathematics (30 citations). Mohammed Falah Mohammed has collaborated with scholars based in Malaysia, Australia and Iraq. Frequent co-authors include Chee Peng Lim, Abdulghani Ali Ahmed, Tao Hai, Taha H. Rassem, Bee Ee Khoo, Nasrin M. Makbol, Anas Quteishat, Mohammed I. Younis, Widad Ismail and Fadhl Hujainah. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Fuzzy Systems.
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.