Tosio Kitagawa
- Artificial Intelligence
- Statistics, Probability and Uncertainty top 10%
- Statistics and Probability top 10%
- Computational Theory and Mathematics
- Mathematical Physics
- Co-authors
- Frederick MostellerGeorge B. ThomasWilliam G. CochranSetsuo ArikawaKazuhiro MatsuoNaoya ShibataC. SuzukiTakafumi Aomine
- Topics
- Probabilistic and Robust Engineering Design (3 papers)Advanced Statistical Process Monitoring (2 papers)Computability, Logic, AI Algorithms (2 papers)
- Journals
- Journal of the American Statistical AssociationInformation SciencesJapanese Journal of Applied Physics
- Partner nations
- Japan
In The Last Decade
Tosio Kitagawa
22 papers receiving 130 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 37
- Statistics, Probability and Uncertainty 32
- Statistics and Probability 29
- Computational Theory and Mathematics 24
- Mathematical Physics 21
Countries citing papers authored by Tosio Kitagawa
This map shows the geographic impact of Tosio Kitagawa'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 Tosio Kitagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tosio Kitagawa more than expected).
Fields of papers citing papers by Tosio Kitagawa
This network shows the impact of papers produced by Tosio Kitagawa. 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 Tosio Kitagawa. The network helps show where Tosio Kitagawa may publish in the future.
Co-authorship network of co-authors of Tosio Kitagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Tosio Kitagawa. A scholar is included among the top collaborators of Tosio Kitagawa 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 Tosio Kitagawa. Tosio Kitagawa 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 | 1 | |
| 3 | 2 | |
| 4 | Formation of Scientific Information System and Its Implication to Informatics | 1 |
| 5 | Multistage Information Retrieval System Based upon Researcher Files | 1 |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 39 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 3 |
About Tosio Kitagawa
Tosio Kitagawa is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Numerical Analysis, having authored 28 papers that have together received 188 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (3 papers), Advanced Statistical Process Monitoring (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (32 citations), Statistics and Probability (29 citations) and General Social Sciences (10 citations). Tosio Kitagawa has collaborated with scholars based in Japan. Frequent co-authors include Frederick Mosteller, George B. Thomas, William G. Cochran, Setsuo Arikawa, Kazuhiro Matsuo, Naoya Shibata, C. Suzuki, Takafumi Aomine, Mutsuo Hidaka and T. Fukunaga. Their work appears in journals such as Journal of the American Statistical Association, Information Sciences and Japanese Journal of Applied Physics.
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.