Sarifuddin Madenda
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Eri Prasetyo WibowoJohan HarlanJufriadif Na’amYuhandri YunusJean VaillancourtRokia MissaouiSumijan SumijanJulius Santony
- Topics
- Computer Science and Engineering (20 papers)Image Retrieval and Classification Techniques (11 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Advanced Computer Science and ApplicationsModern Applied Science
In The Last Decade
Sarifuddin Madenda
70 papers receiving 313 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 107
- Artificial Intelligence 104
- Information Systems 46
- Biomedical Engineering 39
- Radiology, Nuclear Medicine and Imaging 34
Countries citing papers authored by Sarifuddin Madenda
This map shows the geographic impact of Sarifuddin Madenda'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 Sarifuddin Madenda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarifuddin Madenda more than expected).
Fields of papers citing papers by Sarifuddin Madenda
This network shows the impact of papers produced by Sarifuddin Madenda. 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 Sarifuddin Madenda. The network helps show where Sarifuddin Madenda may publish in the future.
Co-authorship network of co-authors of Sarifuddin Madenda
This figure shows the co-authorship network connecting the top 25 collaborators of Sarifuddin Madenda. A scholar is included among the top collaborators of Sarifuddin Madenda 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 Sarifuddin Madenda. Sarifuddin Madenda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | The Implementation of an Efficient Zigzag Scan | 3 |
| 15 | 7 | |
| 16 | 16 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | Ekstraksi Fitur Bentuk Tumor Payudara | 0 |
| 20 | Pendekatan Kode Rantai Sebagai dasar Pengenalan Karakter | 1 |
About Sarifuddin Madenda
Sarifuddin Madenda is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 81 papers that have together received 330 indexed citations. Recurring topics across this work include Computer Science and Engineering (20 papers), Image Retrieval and Classification Techniques (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Human-Computer Interaction (32 citations), Computer Vision and Pattern Recognition (107 citations) and Oral Surgery (30 citations). Sarifuddin Madenda has collaborated with scholars based in Indonesia, Canada and Pakistan. Frequent co-authors include Eri Prasetyo Wibowo, Johan Harlan, Jufriadif Na’am, Yuhandri Yunus, Jean Vaillancourt, Rokia Missaoui, Sumijan Sumijan, Julius Santony, Joan Massich and Hariyanto Hariyanto. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Advanced Computer Science and Applications and Modern Applied Science.
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.