This map shows the geographic impact of Joe Suzuki'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 Joe Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Suzuki more than expected).
This network shows the impact of papers produced by Joe Suzuki. 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 Joe Suzuki. The network helps show where Joe Suzuki may publish in the future.
Co-authorship network of co-authors of Joe Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Joe Suzuki.
A scholar is included among the top collaborators of Joe Suzuki 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 Joe Suzuki. Joe Suzuki is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Suzuki, Joe & Jun Kawahara. (2017). Branch and Bound for Regular Bayesian Network Structure Learing.. Uncertainty in Artificial Intelligence.1 indexed citations
Suzuki, Joe, et al.. (2001). A Fast Jacobian Group Arithmetic Scheme for Algebraic Curve Cryptography. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 84(1). 130–139.1 indexed citations
14.
Suzuki, Joe. (1999). Learning Bayesian Belief Networks Based on the MDL Principle : An Efficient Algorithm Using the Branch and Bound Technique. IEICE Transactions on Information and Systems. 82(2). 356–367.47 indexed citations
15.
Suzuki, Joe. (1999). Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: Basic Properties. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 82(10). 2237–2245.37 indexed citations
16.
Suzuki, Joe. (1998). A Relationship between Contex Tree Weighting and General Model Weighting Techniques for Tree Sources. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 81(11). 2412–2417.
17.
Suzuki, Joe. (1996). Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: An Efficient Algorithm Using the B & B Technique.. International Conference on Machine Learning. 462–470.28 indexed citations
18.
Suzuki, Joe. (1995). Some Notes on Universal Noiseless Coding. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 78(12). 1840–1847.6 indexed citations
19.
Suzuki, Joe. (1993). Evaluations for Estimation of an Information Source Based on State Decomposition. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 76(7). 1240–1251.
20.
Suzuki, Joe. (1993). A Markov Chain Analysis on A Genetic Algorithm. international conference on Genetic algorithms. 146–154.38 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.