Akio Kudô
- Statistics and Probability top 1%
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Statistics, Probability and Uncertainty top 5%
- Economics and Econometrics
- Co-authors
- Takuya KanehisaNingzhong ShiYoshifumi ToyamaHiromitsu TanakaNobuyuki TanakaToshiie SakataWilliam J. SchullJing-Shing Yao
- Topics
- Advanced Statistical Methods and Models (4 papers)Bayesian Methods and Mixture Models (3 papers)Multi-Criteria Decision Making (3 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Akio Kudô
26 papers receiving 346 citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 280
- Management Science and Operations Research 97
- Artificial Intelligence 67
- Statistics, Probability and Uncertainty 49
- Economics and Econometrics 31
Countries citing papers authored by Akio Kudô
This map shows the geographic impact of Akio Kudô'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 Akio Kudô with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Kudô more than expected).
Fields of papers citing papers by Akio Kudô
This network shows the impact of papers produced by Akio Kudô. 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 Akio Kudô. The network helps show where Akio Kudô may publish in the future.
Co-authorship network of co-authors of Akio Kudô
This figure shows the co-authorship network connecting the top 25 collaborators of Akio Kudô. A scholar is included among the top collaborators of Akio Kudô 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 Akio Kudô. Akio Kudô is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Sorex minutissimus collected in Sarobetsu of Northern Hokkaido(Feedback on the 30 Years of the Japanese Wildlife Research Society) | 1 |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 20 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | A METHOD FOR CALCULATING THE INBREEDING COEFFICIENT. II. SEX-LINKED GENES. | 2 |
| 15 | 257 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | 3 |
About Akio Kudô
Akio Kudô is a scholar working on Statistics and Probability, Management Science and Operations Research and Mathematical Physics, having authored 29 papers that have together received 450 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Bayesian Methods and Mixture Models (3 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Statistics and Probability (280 citations), Management Science and Operations Research (97 citations) and Statistics, Probability and Uncertainty (49 citations). Akio Kudô has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Takuya Kanehisa, Ningzhong Shi, Yoshifumi Toyama, Hiromitsu Tanaka, Nobuyuki Tanaka, Toshiie Sakata, William J. Schull and Jing-Shing Yao. Their work appears in journals such as Environmental Health Perspectives, The American Journal of Cardiology and Biometrika.
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.