Joan Santoso
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Sociology and Political Science
- Co-authors
- Mauridhi Hery PurnomoEko Mulyanto YuniarnoMochamad HariadiSurya SumpenoYūji MatsumotoMasashi ShimboWiwik AnggraeniReza Fuad Rachmadi
- Topics
- Edcuational Technology Systems (16 papers)Topic Modeling (13 papers)Multimedia Learning Systems (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
In The Last Decade
Joan Santoso
44 papers receiving 247 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 197
- Information Systems 103
- Computer Vision and Pattern Recognition 21
- Management Science and Operations Research 19
- Sociology and Political Science 15
Countries citing papers authored by Joan Santoso
This map shows the geographic impact of Joan Santoso'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 Joan Santoso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Santoso more than expected).
Fields of papers citing papers by Joan Santoso
This network shows the impact of papers produced by Joan Santoso. 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 Joan Santoso. The network helps show where Joan Santoso may publish in the future.
Co-authorship network of co-authors of Joan Santoso
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Santoso. A scholar is included among the top collaborators of Joan Santoso 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 Joan Santoso. Joan Santoso 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 | 5 | |
| 4 | 7 | |
| 5 | 19 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 18 | |
| 14 | Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network | 7 |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | Pendekatan Rule Handmade untuk Menentukan Klausa Bahasa Indonesia | 1 |
| 19 | 1 | |
| 20 | 7 |
About Joan Santoso
Joan Santoso is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems, having authored 53 papers that have together received 265 indexed citations. Recurring topics across this work include Edcuational Technology Systems (16 papers), Topic Modeling (13 papers) and Multimedia Learning Systems (12 papers). The work is most often cited by research in Artificial Intelligence (197 citations), Information Systems (103 citations) and Management Science and Operations Research (19 citations). Joan Santoso has collaborated with scholars based in Indonesia, Japan and Taiwan. Frequent co-authors include Mauridhi Hery Purnomo, Eko Mulyanto Yuniarno, Mochamad Hariadi, Surya Sumpeno, Yūji Matsumoto, Masashi Shimbo, Wiwik Anggraeni, Reza Fuad Rachmadi, Fachrul Kurniawan and I Ketut Eddy Purnama. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with 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.