Handri Santoso
- Information Systems top 10%
- Artificial Intelligence
- Plant Science
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Djarot HindartoShusaku NomuraKazuo NakamuraYoshimi FukumuraKuniaki YajimaNobuyuki OgawaRichardus Eko IndrajitMichael Michael
- Topics
- Data Mining and Machine Learning Applications (10 papers)Information Retrieval and Data Mining (8 papers)Edcuational Technology Systems (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Social RoboticsInternational Journal of Advanced Computer Science and Applications
- Partner nations
- IndonesiaJapanSwitzerland
In The Last Decade
Handri Santoso
55 papers receiving 246 citations
Peers
Comparison fields: 5 of 90
- Information Systems 53
- Artificial Intelligence 47
- Plant Science 33
- Computer Vision and Pattern Recognition 27
- Electrical and Electronic Engineering 25
Countries citing papers authored by Handri Santoso
This map shows the geographic impact of Handri 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 Handri Santoso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Handri Santoso more than expected).
Fields of papers citing papers by Handri Santoso
This network shows the impact of papers produced by Handri 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 Handri Santoso. The network helps show where Handri Santoso may publish in the future.
Co-authorship network of co-authors of Handri Santoso
This figure shows the co-authorship network connecting the top 25 collaborators of Handri Santoso. A scholar is included among the top collaborators of Handri 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 Handri Santoso. Handri 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 | 10 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | Comparison of Convolutional Neural Networks Model Using Different Optimizers for Image Classification | 1 |
| 16 | Sistem Pengecekan Water Meter Berbasis Internet Menggunakan Wemos D1 | 2 |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 4 | |
| 20 | 0 |
About Handri Santoso
Handri Santoso is a scholar working on Information Systems, Computer Science Applications and Management Information Systems, having authored 65 papers that have together received 260 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (10 papers), Information Retrieval and Data Mining (8 papers) and Edcuational Technology Systems (7 papers). The work is most often cited by research in Computer Science Applications (19 citations), Information Systems (53 citations) and Human-Computer Interaction (9 citations). Handri Santoso has collaborated with scholars based in Indonesia, Japan and Switzerland. Frequent co-authors include Djarot Hindarto, Shusaku Nomura, Kazuo Nakamura, Yoshimi Fukumura, Kuniaki Yajima, Nobuyuki Ogawa, Richardus Eko Indrajit, Michael Michael, Yasuo Kudo and H. Honda. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Social Robotics and International Journal of Advanced Computer Science and 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.