M. Rahmat Widyanto
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology
- Biomedical Engineering
- Media Technology top 10%
- Co-authors
- Hajime NobuharaDewi Yanti LilianaT. BasaruddinChastine FatichahMuhammad HarisFangyan DongBenyamin KusumoputroKaoru Hirota
- Topics
- Face and Expression Recognition (11 papers)Face recognition and analysis (7 papers)Emotion and Mood Recognition (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionExperimental and Cognitive PsychologyMedia Technology
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsIEEE Transactions on Geoscience and Remote Sensing
In The Last Decade
M. Rahmat Widyanto
44 papers receiving 342 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 181
- Artificial Intelligence 107
- Experimental and Cognitive Psychology 65
- Biomedical Engineering 51
- Media Technology 43
Countries citing papers authored by M. Rahmat Widyanto
This map shows the geographic impact of M. Rahmat Widyanto'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 M. Rahmat Widyanto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Rahmat Widyanto more than expected).
Fields of papers citing papers by M. Rahmat Widyanto
This network shows the impact of papers produced by M. Rahmat Widyanto. 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 M. Rahmat Widyanto. The network helps show where M. Rahmat Widyanto may publish in the future.
Co-authorship network of co-authors of M. Rahmat Widyanto
This figure shows the co-authorship network connecting the top 25 collaborators of M. Rahmat Widyanto. A scholar is included among the top collaborators of M. Rahmat Widyanto 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 M. Rahmat Widyanto. M. Rahmat Widyanto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 15 | |
| 13 | 26 | |
| 14 | KLASIFIKASI VOTED PERCEPTRON UNTUK IDENTIFIKASI MELANOMA | 1 |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | Skin lesion detection using fuzzy region growing and ABCD feature extraction for melanoma skin cancer diagnosis | 3 |
| 19 | 39 | |
| 20 | 11 |
About M. Rahmat Widyanto
M. Rahmat Widyanto is a scholar working on Computer Vision and Pattern Recognition, Oral Surgery and Artificial Intelligence, having authored 44 papers that have together received 364 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Face recognition and analysis (7 papers) and Emotion and Mood Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Experimental and Cognitive Psychology (65 citations) and Media Technology (43 citations). M. Rahmat Widyanto has collaborated with scholars based in Indonesia, Japan and China. Frequent co-authors include Hajime Nobuhara, Dewi Yanti Liliana, T. Basaruddin, Chastine Fatichah, Muhammad Haris, Fangyan Dong, Benyamin Kusumoputro, Kaoru Hirota, Kazuhiko Kawamoto and Kaoru Hirota. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.
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.