Nobuhiro Inuzuka

483 total citations
41 papers, 112 citations indexed

About

Nobuhiro Inuzuka is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Sociology and Political Science. According to data from OpenAlex, Nobuhiro Inuzuka has authored 41 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Computational Theory and Mathematics and 8 papers in Sociology and Political Science. Recurrent topics in Nobuhiro Inuzuka's work include Complex Network Analysis Techniques (8 papers), Evolutionary Game Theory and Cooperation (5 papers) and Reinforcement Learning in Robotics (4 papers). Nobuhiro Inuzuka is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Evolutionary Game Theory and Cooperation (5 papers) and Reinforcement Learning in Robotics (4 papers). Nobuhiro Inuzuka collaborates with scholars based in Japan and United States. Nobuhiro Inuzuka's co-authors include Taisuke Izumi, Yoshiaki Katayama, Koichi Wada, Koichi Moriyama, Samia Souissi, Masafumi Yamashita, Xavier Défago, Hirohisa Seki, Hidenori Itoh and Koichi Wada and has published in prestigious journals such as SIAM Journal on Computing, Computers & Industrial Engineering and Theoretical Computer Science.

In The Last Decade

Nobuhiro Inuzuka

31 papers receiving 108 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nobuhiro Inuzuka Japan 6 48 36 36 21 10 41 112
Przemysław Uznański Poland 6 71 1.5× 17 0.5× 25 0.7× 29 1.4× 7 0.7× 21 106
Dominik Pająk Poland 6 64 1.3× 17 0.5× 22 0.6× 11 0.5× 8 0.8× 18 90
Vitorino Ramos Portugal 7 14 0.3× 5 0.1× 65 1.8× 21 1.0× 11 1.1× 9 102
Matthew Barry United States 7 9 0.2× 27 0.8× 39 1.1× 15 0.7× 3 0.3× 17 111
G. Sivakumar India 6 23 0.5× 7 0.2× 101 2.8× 29 1.4× 12 1.2× 21 155
Zuoquan Lin China 7 16 0.3× 15 0.4× 80 2.2× 14 0.7× 14 1.4× 36 118
Karol Suchan Chile 7 44 0.9× 8 0.2× 26 0.7× 103 4.9× 5 0.5× 28 141
Héctor Joaquín Fraire Huacuja Mexico 5 32 0.7× 4 0.1× 29 0.8× 12 0.6× 6 0.6× 19 116
Shansi Ren United States 7 280 5.8× 6 0.2× 40 1.1× 6 0.3× 15 1.5× 7 290
Jeong-Won Cha South Korea 10 10 0.2× 11 0.3× 203 5.6× 4 0.2× 16 1.6× 33 290

Countries citing papers authored by Nobuhiro Inuzuka

Since Specialization
Citations

This map shows the geographic impact of Nobuhiro Inuzuka'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 Nobuhiro Inuzuka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuhiro Inuzuka more than expected).

Fields of papers citing papers by Nobuhiro Inuzuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nobuhiro Inuzuka. 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 Nobuhiro Inuzuka. The network helps show where Nobuhiro Inuzuka may publish in the future.

Co-authorship network of co-authors of Nobuhiro Inuzuka

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhiro Inuzuka. A scholar is included among the top collaborators of Nobuhiro Inuzuka 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 Nobuhiro Inuzuka. Nobuhiro Inuzuka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Moriyama, Koichi, et al.. (2024). Enhancing Retrieval Processes for Language Generation with Augmented Queries to Provide Factual Information on Schizophrenia. Procedia Computer Science. 246. 443–452. 1 indexed citations
3.
Inuzuka, Nobuhiro, et al.. (2023). Automating Lexicon Generation: A Comprehensive Review of Alternative Approaches. Procedia Computer Science. 225. 1142–1150. 1 indexed citations
4.
Moriyama, Koichi, et al.. (2022). Ensemble method using real images, metadata and synthetic images for control of class imbalance in classification. Artificial Life and Robotics. 27(4). 796–803. 1 indexed citations
5.
Moriyama, Koichi, et al.. (2021). Classification of buzzwords by focusing on time trends using Twitter data. 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE). 11. 342–344. 1 indexed citations
6.
Moriyama, Koichi, et al.. (2018). A Friendship Generation Model Considering Affiliations. 3j 1. 304–307.
7.
Moriyama, Koichi, et al.. (2017). The resilience of cooperation in a Dilemma game played by reinforcement learning agents. 7. 33–39. 1 indexed citations
8.
Inuzuka, Nobuhiro, et al.. (2015). Clustering Mutual Funds Based on Investment Similarity. Procedia Computer Science. 60. 881–890. 6 indexed citations
9.
Kato, Shōhei, et al.. (2014). Evolution of Frequency-Dependent Sexual Selection Using Agent-Based Model. 10–15. 1 indexed citations
10.
Hayashi, Hiroki, et al.. (2014). A Method of Social Network Analysis Using Formal Concept Analysis and Ego-Centric Networks. Transactions of the Japanese Society for Artificial Intelligence. 29(1). 177–181. 1 indexed citations
11.
Izumi, Taisuke, Samia Souissi, Yoshiaki Katayama, et al.. (2012). The Gathering Problem for Two Oblivious Robots with Unreliable Compasses. SIAM Journal on Computing. 41(1). 26–46. 29 indexed citations
12.
Inuzuka, Nobuhiro, et al.. (2012). On Computing Minimal Generators in Multi-Relational Data Mining with respect to theta-Subsumption.. 50–55. 1 indexed citations
13.
Inuzuka, Nobuhiro, et al.. (2011). Multi-Relational Pattern Mining Based-on Combination of Properties with Preserving Their Structure in Examples. Lecture notes in computer science. 6489. 181–189. 1 indexed citations
14.
Inuzuka, Nobuhiro, et al.. (2011). Pattern Mining on Ego-Centric Networks of Friendship Networks. Lecture notes in computer science. 6884(4). 89–97. 2 indexed citations
15.
Kato, Shōhei, et al.. (2010). Expression of Fashion in Female Preferences for a Mate by Conformity and Differentiation Genes. Artificial Life. 846–851.
16.
Izumi, Taisuke, et al.. (2008). On Gathering Problem in a Ring for 2n Autonomous Mobile Robots. IEICE Technical Report; IEICE Tech. Rep.. 108(206). 47–54. 5 indexed citations
17.
Kasuya, Masao, Nobuhiro Ito, Nobuhiro Inuzuka, & Koichi Wada. (2006). A pattern formation algorithm for a set of autonomous distributed robots with agreement on orientation along one axis. Systems and Computers in Japan. 37(10). 89–100. 5 indexed citations
19.
Moriwaki, K., et al.. (2002). Self adaptation of agent's behavior using GA with n-BDD. e78 a. 96–101. 2 indexed citations
20.
Inuzuka, Nobuhiro, et al.. (1997). Cooperative behavior of various agents in dynamic environment. Computers & Industrial Engineering. 33(3-4). 601–604. 3 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.

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