Mohd Foad Rohani
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Information Systems top 10%
- Signal Processing
- Co-authors
- Mohd Aizaini MaarofMazleena SallehMuhammad Saidu AlieroKashif Naseer QureshiImran GhaniAnazida ZainalMaznah KamatAli Selamat
- Topics
- Face and Expression Recognition (8 papers)Network Security and Intrusion Detection (5 papers)Digital Media Forensic Detection (5 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Partner nations
- MalaysiaPuerto RicoPakistan
In The Last Decade
Mohd Foad Rohani
30 papers receiving 266 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 91
- Computer Vision and Pattern Recognition 68
- Artificial Intelligence 59
- Information Systems 51
- Signal Processing 37
Countries citing papers authored by Mohd Foad Rohani
This map shows the geographic impact of Mohd Foad Rohani'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 Mohd Foad Rohani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohd Foad Rohani more than expected).
Fields of papers citing papers by Mohd Foad Rohani
This network shows the impact of papers produced by Mohd Foad Rohani. 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 Mohd Foad Rohani. The network helps show where Mohd Foad Rohani may publish in the future.
Co-authorship network of co-authors of Mohd Foad Rohani
This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Foad Rohani. A scholar is included among the top collaborators of Mohd Foad Rohani 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 Mohd Foad Rohani. Mohd Foad Rohani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 57 | |
| 8 | 33 | |
| 9 | Copy-move forgery detection: A survey on time complexity issues and solutions | 1 |
| 10 | 11 | |
| 11 | An improvement of student examination assessment through online (e-exam) by considering psychological distress factors | 3 |
| 12 | 4 | |
| 13 | 19 | |
| 14 | Fast and Effective Bag-of-Visual-Word Model to Pornographic Images Recognition Using the FREAK Descriptor | 3 |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | Uncovering Anomaly Traffic Based on Loss of Self-Similarity Behavior Using Second Order Statistical Model | 9 |
About Mohd Foad Rohani
Mohd Foad Rohani is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Media Technology, having authored 32 papers that have together received 277 indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Network Security and Intrusion Detection (5 papers) and Digital Media Forensic Detection (5 papers). The work is most often cited by research in Computer Networks and Communications (91 citations), Signal Processing (37 citations) and Computer Vision and Pattern Recognition (68 citations). Mohd Foad Rohani has collaborated with scholars based in Malaysia, Puerto Rico and Pakistan. Frequent co-authors include Mohd Aizaini Maarof, Mazleena Salleh, Muhammad Saidu Aliero, Kashif Naseer Qureshi, Imran Ghani, Anazida Zainal, Maznah Kamat, Ali Selamat, Shukor Abd Razak and Fuad A. Ghaleb. Their work appears in journals such as PLoS ONE, IEEE Access and Neural Computing and Applications.
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.