Widi Astuti
About
In The Last Decade
Widi Astuti
91 papers receiving 372 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 106
- Information Systems 72
- Mechanical Engineering 71
- Molecular Biology 46
- Biomedical Engineering 38
Countries citing papers authored by Widi Astuti
This map shows the geographic impact of Widi Astuti'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 Widi Astuti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Widi Astuti more than expected).
Fields of papers citing papers by Widi Astuti
This network shows the impact of papers produced by Widi Astuti. 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 Widi Astuti. The network helps show where Widi Astuti may publish in the future.
Co-authorship network of co-authors of Widi Astuti
This figure shows the co-authorship network connecting the top 25 collaborators of Widi Astuti. A scholar is included among the top collaborators of Widi Astuti 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 Widi Astuti. Widi Astuti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | Identifikasi Teks Gereflekter pada Buku Anak dengan Algoritma k-Nearest Neighbor | 1 |
| 9 | Implementasi Minimum Redundancy Maximum Relevance Sebagai Teknik Reduksi Dimensi Pada Klasifikasi Kanker Usus Besar Menggunakan Random Forest | 0 |
| 10 | Klasifikasi Multi-label Pada Hadis Bukhari Dalam Terjemahan Bahasa Indonesia Menggunakan Mutual Information Dan Backpropagation Neural Network | 3 |
| 11 | Analisis Sentimen Masyarakat pada Media Sosial Twitter Terhadap Partai Politik Peserta Pemilihan Umum 2019 Menggunakan Naive Bayes Classifier | 0 |
| 12 | Analisis Sentimen Opini Masyarakat Terhadap Acara Televisi pada Twitter dengan Retweet Analysis dan Naïve Bayes Classifier | 1 |
| 13 | Klasifikasi Multilabel Pada Hadis Bukhari Terjemahan Bahasa Indonesia Menggunakan Mutual Information Dan Support Vector Machine | 1 |
| 14 | Peningkatan Nilai Tambah Daun Kersen (Muntingia Calabura L.) Menjadi Permen Jelly dan Teh Seduh | 2 |
| 15 | Klasifikasi Teks Multi Label pada Hadis dalam TerjemahanBahasa Indonesia Berdasarkan Anjuran, Larangan dan Informasi Menggunakan TF-IDF dan KNN | 3 |
| 16 | Deteksi Fake Review Menggunakan Support Vector Machine | 1 |
| 17 | PEMBUATAN PUPUK FERMENTASI CAIR BERBASIS LIMBAH VINASSE | 0 |
| 18 | Pemetaan Tindak Kejahatan Jalanan di Kota Semarang Menggunakan Algoritma K-Means Clustering | 5 |
| 19 | PESTISIDA ORGANIK RAMAH LINGKUNGAN PEMBASMI HAMA TANAMAN SAYUR | 18 |
| 20 | PERAN SAMPAH B3 RUMAH TANGGA (HOUSEHOLD HAZARDOUS WASTE) DALAM PENINGKATAN GLOBAL WARMING | 3 |
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.