Abdul Syukur
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Information Systems top 10%
- Mechanical Engineering
- Co-authors
- Supriadi RustadDe Rosal Ignatius Moses SetiadiGuruh Fajar ShidikPulung Nurtantio AndonoEdi NoersasongkoMuhamad AkromHermawan Kresno DipojonoT. Sutojo
- Topics
- Data Mining and Machine Learning Applications (7 papers)Computer Science and Engineering (6 papers)Artificial Intelligence in Healthcare (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessJournal of King Saud University - Computer and Information Sciences
In The Last Decade
Abdul Syukur
27 papers receiving 310 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 141
- Computer Vision and Pattern Recognition 85
- Materials Chemistry 65
- Information Systems 54
- Mechanical Engineering 27
Countries citing papers authored by Abdul Syukur
This map shows the geographic impact of Abdul Syukur'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 Abdul Syukur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdul Syukur more than expected).
Fields of papers citing papers by Abdul Syukur
This network shows the impact of papers produced by Abdul Syukur. 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 Abdul Syukur. The network helps show where Abdul Syukur may publish in the future.
Co-authorship network of co-authors of Abdul Syukur
This figure shows the co-authorship network connecting the top 25 collaborators of Abdul Syukur. A scholar is included among the top collaborators of Abdul Syukur 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 Abdul Syukur. Abdul Syukur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 81 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 58 | |
| 12 | 2 | |
| 13 | 112 | |
| 14 | 5 | |
| 15 | Absolute Correlation Weighted Naïve Bayes for Software Defect Prediction | 7 |
| 16 | Integrasi Metode Sample Bootstrapping dan Weighted Principal Component Analysis untuk Meningkatkan Performa k Nearest Neighbor pada Dataset Besar | 8 |
| 17 | Penerapan Bootstrapping untuk Ketidakseimbangan Kelas dan Weighted Information Gain untuk Feature Selection pada Algoritma Support Vector Machine untuk Prediksi Loyalitas Pelanggan | 3 |
| 18 | Integrasi Kromosom Buatan Dinamis untuk Memecahkan Masalah Konvergensi Prematur pada Algoritma Genetika untuk Traveling Salesman Problem | 5 |
| 19 | 6 | |
| 20 | 6 |
About Abdul Syukur
Abdul Syukur is a scholar working on Health Information Management, Information Systems and Artificial Intelligence, having authored 33 papers that have together received 331 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (7 papers), Computer Science and Engineering (6 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Metals and Alloys (24 citations), Artificial Intelligence (141 citations) and Computer Vision and Pattern Recognition (85 citations). Abdul Syukur has collaborated with scholars based in Indonesia, Taiwan and China. Frequent co-authors include Supriadi Rustad, De Rosal Ignatius Moses Setiadi, Guruh Fajar Shidik, Pulung Nurtantio Andono, Edi Noersasongko, Muhamad Akrom, Hermawan Kresno Dipojono, T. Sutojo, Romi Satria Wahono and Purwanto Purwanto. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of King Saud University - Computer and Information Sciences.
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.