Masayuki Goto
- Artificial Intelligence top 10%
- Organic Chemistry
- Information Systems top 10%
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Katsuyoshi HoshinoTetsuo SajiYoshiyuki IshiiMegumi MatsutaniShigeichi HirasawaTakashi IshidaKenjiro TakemuraToshiyasu Matsushima
- Topics
- Customer churn and segmentation (14 papers)Text and Document Classification Technologies (12 papers)Technology and Data Analysis (9 papers)
- Journals
- New England Journal of MedicineJournal of the American Chemical SocietyJournal of Clinical Oncology
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Masayuki Goto
98 papers receiving 506 citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 126
- Organic Chemistry 76
- Information Systems 64
- Materials Chemistry 61
- Electrical and Electronic Engineering 50
Countries citing papers authored by Masayuki Goto
This map shows the geographic impact of Masayuki Goto'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 Masayuki Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Goto more than expected).
Fields of papers citing papers by Masayuki Goto
This network shows the impact of papers produced by Masayuki Goto. 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 Masayuki Goto. The network helps show where Masayuki Goto may publish in the future.
Co-authorship network of co-authors of Masayuki Goto
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Goto. A scholar is included among the top collaborators of Masayuki Goto 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 Masayuki Goto. Masayuki Goto 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 | 0 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | A study on distance metric learning by using different metric matrices in each category | 0 |
| 7 | 3 | |
| 8 | Accurate parameter estimation based on latent class model estimated by combining both evaluation and purchase histories | 1 |
| 9 | 1 | |
| 10 | 0 | |
| 11 | Rate-compatible punctured ldpc codes with two subgraphs | 1 |
| 12 | 3 | |
| 13 | Study of a Structure Analysis Method for Customer Loyalty Based on Text Data | 1 |
| 14 | A mixed distribution system of direct and relay delivery methods based on an analogy of milk-run logistics | 2 |
| 15 | A study on the structure analysis of a logistics information model based on UML | 0 |
| 16 | A Source Model with Probability Distribution over Word Set and Recurrence Time Theorem | 3 |
| 17 | Development of a High Efficiency 2V-100A Bi-directional DC-DC Converter | 1 |
| 18 | A Study of Periodical Ordering System to Control the Cost Occurred from Variances | 0 |
| 19 | On Statistical Model Selection based on Bayes Decision Theory | 0 |
| 20 | On Bayes Optimal Prediction based on Mixture Model of Multilayer Neural Networks | 1 |
About Masayuki Goto
Masayuki Goto is a scholar working on Marketing, Microbiology and Artificial Intelligence, having authored 118 papers that have together received 536 indexed citations. Recurring topics across this work include Customer churn and segmentation (14 papers), Text and Document Classification Technologies (12 papers) and Technology and Data Analysis (9 papers). The work is most often cited by research in Marketing (43 citations), Artificial Intelligence (126 citations) and Electrochemistry (24 citations). Masayuki Goto has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Katsuyoshi Hoshino, Tetsuo Saji, Yoshiyuki Ishii, Megumi Matsutani, Shigeichi Hirasawa, Takashi Ishida, Kenjiro Takemura, Toshiyasu Matsushima, Keiji Hagiwara and Yasushi Shoji. Their work appears in journals such as New England Journal of Medicine, Journal of the American Chemical Society and Journal of Clinical Oncology.
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.