Kazuhiko Tsuda
- Software top 10%
- Software Testing and Debugging Techniques 15
- Software Reliability and Analysis Research 10
- Health Informatics top 10%
- Marketing top 10%
- Customer churn and segmentation 9
- Information Systems top 10%
- Software Engineering Research 14
- Web Data Mining and Analysis 8
- Artificial Intelligence top 10%
- Advanced Text Analysis Techniques 19
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- Digital Marketing and Social Media 15
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- Software System Performance and Reliability 10
- Co-authors
- Takumi KatoMasakazu TakahashiDaisuke SakamotoJun‐ichi AoeYoshikazu TanakaTomohiro ArakiKazuhiro MoritaFujimaro Ishida
- Cited by
- SoftwareHealth InformaticsMarketing
- Journals
- Scientific Reports (2 papers)Information Sciences (3 papers)Journal of Immunological Methods (1 paper)
- Partner nations
- JapanSouth KoreaGermany
In The Last Decade
Kazuhiko Tsuda
97 papers receiving 335 citations
Peers
Comparison fields: 5 of 98
- Software 46
- Health Informatics 14
- Marketing 46
- Information Systems 101
- Artificial Intelligence 106
Countries citing papers authored by Kazuhiko Tsuda
This map shows the geographic impact of Kazuhiko Tsuda'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 Kazuhiko Tsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiko Tsuda more than expected).
Fields of papers citing papers by Kazuhiko Tsuda
This network shows the impact of papers produced by Kazuhiko Tsuda. 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 Kazuhiko Tsuda. The network helps show where Kazuhiko Tsuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuhiko Tsuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 0 | |
| 12 | Difference in Purchasing Behavior Between Web Advertisement Induction and Spontaneous Web Search | 2018 | 1 |
| 13 | 2017 | 0 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 1 | |
| 16 | Issues of the morphological analysis in comparison with the compound noun extraction analysis for a patent document | 2013 | 2 |
| 17 | 2013 | 0 | |
| 18 | Building Knowledge for Characterization of the Bad Debt Customers in the Mail Order Industry with Random Forest. | 2012 | 1 |
| 19 | An Efficient Computer Validation Method for Pharmaceutical Facility Motion Control Software | 2004 | 1 |
| 20 | 2000 | 6 |
About Kazuhiko Tsuda
Kazuhiko Tsuda is a scholar working on Software, Information Systems and Marketing, having authored 126 papers that have together received 363 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (19 papers), Digital Marketing and Social Media (15 papers), Software Testing and Debugging Techniques (15 papers), Software Engineering Research (14 papers), Software System Performance and Reliability (10 papers), Software Reliability and Analysis Research (10 papers), Customer churn and segmentation (9 papers) and Web Data Mining and Analysis (8 papers). The work is most often cited by research in Software (46 citations), Health Informatics (14 citations) and Marketing (46 citations). Kazuhiko Tsuda has collaborated with scholars based in Japan, South Korea and Germany. Frequent co-authors include Takumi Kato, Masakazu Takahashi, Daisuke Sakamoto, Jun‐ichi Aoe, Yoshikazu Tanaka, Tomohiro Araki, Kazuhiro Morita, Fujimaro Ishida, Masao Fuketa and Hidenori Suzuki. Their work appears in journals such as Scientific Reports, Information Sciences and Journal of Immunological Methods.
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.