This map shows the geographic impact of Shotaro Akaho'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 Shotaro Akaho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shotaro Akaho more than expected).
This network shows the impact of papers produced by Shotaro Akaho. 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 Shotaro Akaho. The network helps show where Shotaro Akaho may publish in the future.
Co-authorship network of co-authors of Shotaro Akaho
This figure shows the co-authorship network connecting the top 25 collaborators of Shotaro Akaho.
A scholar is included among the top collaborators of Shotaro Akaho 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 Shotaro Akaho. Shotaro Akaho is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Karakida, Ryo, Shotaro Akaho, & Шун-ичи Амари. (2018). Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. International Conference on Artificial Intelligence and Statistics. 1032–1041.1 indexed citations
8.
Akaho, Shotaro, et al.. (2014). Basis Functions for Fast Learning of Log-linear Models. IEICE Technical Report; IEICE Tech. Rep.. 114(306). 307–312.
9.
Kamishima, Toshihiro, Shotaro Akaho, Hideki Asoh, & Jun Sakuma. (2014). Correcting Popularity Bias by Enhancing Recommendation Neutrality.. Conference on Recommender Systems.31 indexed citations
10.
Kamishima, Toshihiro, et al.. (2013). Analysis of Medical Treatment Data using Inverse Reinforcement Learning. IEICE Technical Report; IEICE Tech. Rep.. 112(390). 13–17.1 indexed citations
11.
Kamishima, Toshihiro, Shotaro Akaho, Hideki Asoh, & Jun Sakuma. (2013). Efficiency Improvement of Neutrality-Enhanced Recommendation.. Conference on Recommender Systems. 1–8.17 indexed citations
12.
Kamishima, Toshihiro, Shotaro Akaho, Hideki Asoh, & Jun Sakuma. (2012). Enhancement of the Neutrality in Recommendation.. Conference on Recommender Systems. 8–14.23 indexed citations
13.
Géczy, Peter, Noriaki Izumi, Shotaro Akaho, & Kôiti Hasida. (2007). HUMAN WEB BEHAVIOR MINING.2 indexed citations
Akaho, Shotaro, et al.. (1998). Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning. International Conference on Neural Information Processing. 409–412.1 indexed citations
20.
Asoh, Hideki, Satoru Hayamizu, Isao Hara, et al.. (1997). Socially embedded learning of the office-conversant mobile robot Jijo-2. International Joint Conference on Artificial Intelligence. 2. 880–885.68 indexed citations
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.