Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Combining Machine Learning Systems and Multiple Docking Simulation Packages to Improve Docking Prediction Reliability for Network Pharmacology
2013398 citationsSamik Ghosh, Hiroaki Kitano et al.profile →
Lenvatinib plus anti-PD-1 antibody combination treatment activates CD8+ T cells through reduction of tumor-associated macrophage and activation of the interferon pathway
2019341 citationsAyako Yachie‐Kinoshita, Samik Ghosh et al.profile →
Citations per year, relative to Hiroaki Kitano Hiroaki Kitano (= 1×)
peers
Eytan Ruppin
Countries citing papers authored by Hiroaki Kitano
Since
Specialization
Citations
This map shows the geographic impact of Hiroaki Kitano'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 Hiroaki Kitano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Kitano more than expected).
This network shows the impact of papers produced by Hiroaki Kitano. 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 Hiroaki Kitano. The network helps show where Hiroaki Kitano may publish in the future.
Co-authorship network of co-authors of Hiroaki Kitano
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Kitano.
A scholar is included among the top collaborators of Hiroaki Kitano 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 Hiroaki Kitano. Hiroaki Kitano is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nakadai, Kazuhiro, Tino Lourens, Hiroshi G. Okuno, & Hiroaki Kitano. (2000). Active Audition for Humanoid. National Conference on Artificial Intelligence. 832–839.160 indexed citations
7.
Singh, Munindar P., Daniel G. Bobrow, Michael N. Huhns, et al.. (1997). The next big thing: position statements. International Joint Conference on Artificial Intelligence. 1511–1522.2 indexed citations
8.
Kitano, Hiroaki, Minoru Asada, Yasuo Kuniyoshi, et al.. (1997). RoboCup: A Challenge Problem for AI. AI Magazine. 18(1). 73–85.235 indexed citations
9.
Kitano, Hiroaki. (1995). A model for hormonal modulation of learning. International Joint Conference on Artificial Intelligence. 532–538.12 indexed citations
Kitano, Hiroaki. (1994). Massively Parallel Artificial Intelligence and Grand Challenge AI Applications.. 33(1). 27–32.3 indexed citations
12.
Kitano, Hiroaki. (1993). Challenges of massive parallelism. International Joint Conference on Artificial Intelligence. 813–834.23 indexed citations
13.
Kitano, Hiroaki, et al.. (1993). Case-method: a methodology for building large-scale case-based systems. National Conference on Artificial Intelligence. 303–308.7 indexed citations
14.
Kitano, Hiroaki. (1993). A Comprehensive and Practical Model of Memory-Based Machine Translation.. International Joint Conference on Artificial Intelligence. 1276–1282.17 indexed citations
15.
Kido, Takashi, et al.. (1993). A Hybrid Search for Genetic Algorithms: Combining Genetic AlgorithmsTABU Searchand Simulated Annealing. international conference on Genetic algorithms. 641.9 indexed citations
16.
Kitano, Hiroaki & Tetsuya Higuchi. (1991). Massively parallel memory-based parsing. International Joint Conference on Artificial Intelligence. 918–924.19 indexed citations
17.
Kitano, Hiroaki, et al.. (1991). Massively parallel artificial intelligence. MIT Press eBooks. 93(7). 426–426.26 indexed citations
18.
Kitano, Hiroaki, et al.. (1991). High performance natural language processing on semantic network array processor. International Joint Conference on Artificial Intelligence. 911–917.12 indexed citations
19.
Kitano, Hiroaki. (1990). Empirical studies on the speed of convergence of neural network training using genetic algorithms. National Conference on Artificial Intelligence. 2. 789–795.104 indexed citations
20.
Kitano, Hiroaki, et al.. (1989). Beyond PDP: the frequency modulation neural network architecture. International Joint Conference on Artificial Intelligence. 186–192.7 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.