Takayuki Itō

4.9k total citations · 1 hit paper
288 papers, 2.6k citations indexed

About

Takayuki Itō is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Takayuki Itō has authored 288 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 75 papers in Management Science and Operations Research and 54 papers in Computer Networks and Communications. Recurrent topics in Takayuki Itō's work include Multi-Agent Systems and Negotiation (75 papers), Auction Theory and Applications (65 papers) and Consumer Market Behavior and Pricing (26 papers). Takayuki Itō is often cited by papers focused on Multi-Agent Systems and Negotiation (75 papers), Auction Theory and Applications (65 papers) and Consumer Market Behavior and Pricing (26 papers). Takayuki Itō collaborates with scholars based in Japan, United States and Australia. Takayuki Itō's co-authors include Catholijn M. Jonker, Onn Shehory, Maria Gini, Mark Klein, Katsuhide Fujita, Toramatsu Shintani, Naoki Fukuta, Hiromitsu Hattori, Ahmed Moustafa and Muhammad Asad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.

In The Last Decade

Takayuki Itō

251 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

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.

Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems

2013 550 citations Takayuki Itō et al. profile →

Peers

Takayuki Itō

AI

MSOR

EEE

CNC

IS

Diego Reforgiato Recupero Italy

Maria Gini United States

Onn Shehory Israel

Gerhard Weiß Netherlands

Dave Cliff United Kingdom

Enrico Gerding United Kingdom

Catholijn M. Jonker Netherlands

Alice M. Agogino United States

Zhiqi Shen Singapore

Peter Cowling United Kingdom

Diego Reforgiato Recupero Italy

Takayuki Itō

1.6k ×1.4

AI

490 ×0.7

MSOR

339 ×0.8

EEE

325 ×0.9

CNC

470 ×2.0

IS

Citations per year, relative to Takayuki Itō Takayuki Itō (= 1×) peers Diego Reforgiato Recupero

Countries citing papers authored by Takayuki Itō

Since Specialization

Citations

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

Fields of papers citing papers by Takayuki Itō

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Itō

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

All Works

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20 of 20 papers shown

1.

Ikeda, Yuichi, et al.. (2025). Anomaly detection and facilitation AI to empower decentralized autonomous organizations for secure crypto-asset transactions. AI & Society. 40(5). 3999–4010. 2 indexed citations

2.

Itō, Takayuki, et al.. (2024). Structural complexity predicts consensus readability in online discussions. Social Network Analysis and Mining. 14(1). 1 indexed citations

3.

Itō, Takayuki, et al.. (2024). Towards Collaborative Brain-storming among Humans and AI Agents: An Implementation of the IBIS-based Brainstorming Support System with Multiple AI Agents. 1–9.

4.

Itō, Takayuki, et al.. (2023). Development of 8K Laparoscopic Surgery System with Real-Time Telementoring and Analysis of its Effectiveness. Proceedings of the International Display Workshops. 1067–1067.

5.

Kume, Manabu, et al.. (2023). Tagging of age-0 flatfish with acoustic transmitters: comparison of internal implantation versus external attachment. Environmental Biology of Fishes. 106(10). 2011–2019. 4 indexed citations

6.

Blanco, A. C., et al.. (2022). Optimization of tree positioning to maximize walking in urban outdoor spaces: A modeling and simulation framework. Sustainable Cities and Society. 86. 104105–104105. 13 indexed citations

7.

Nishitani, Kohei, et al.. (2020). High and Varied Anterior Condyle of the Distal Femur Is Associated with Limited Flexion in Varus Knee Osteoarthritis. Cartilage. 13(1_suppl). 1487S–1493S.

8.

Ito, Takanori, et al.. (2017). EFFECTIVENESS OF THE METHOD ABOUT COMMUNITY AND UNIVERSITY COLLABORATION USING CONSENSUS SUPPORT SYSTEM. Journal of Architecture and Planning (Transactions of AIJ). 82(742). 3169–3179. 1 indexed citations

9.

Itō, Takayuki, et al.. (2015). Driver Behavior Model Based on Ontology for Intelligent Transportation Systems. 227–231. 8 indexed citations

10.

Itō, Takayuki, et al.. (2014). Evaluation of Traffic Management Strategies with Anticipatory Stigmergy (Preprint). 55(4). 1 indexed citations

11.

Itō, Takayuki, et al.. (2013). A Survey of Multi-Agents Research That Supports Future Societal Systems(2) : Power Systems, and Wireless Sensor Networks( Agent Technology). 28(3). 370–379. 1 indexed citations

12.

Itō, Takayuki, et al.. (2012). Asymptotic Maximum Entropy Principle for Utility Elicitation under High Uncertainty and Partial Information.. The Florida AI Research Society. 537–542. 1 indexed citations

13.

Fukuta, Naoki, et al.. (2012). An Approach to Sustainable Electric Power Allocation Using a Multi-Round Multi-Unit Combinatorial Auction. Lecture notes in computer science. 7580. 48–63. 1 indexed citations

14.

Fujita, Katsuhide, Takayuki Itō, & Mark Klein. (2009). Approximately fair and secure protocols for multiple interdependent issues negotiation. Adaptive Agents and Multi-Agents Systems. 1287–1288. 6 indexed citations

15.

Fujita, Katsuhide, Takayuki Itō, & Mark Klein. (2008). A preliminary result on a representative-based multi-round protocol for multi-issue negotiations. Adaptive Agents and Multi-Agents Systems. 3. 1573–1576. 8 indexed citations

16.

Itō, Takayuki, Mark Klein, & Hiromitsu Hattori. (2006). A Negotiation Protocol for Agents with Nonlinear Utility Functions.. National Conference on Artificial Intelligence. 8 indexed citations

17.

Shintani, Toramatsu, et al.. (2004). Reward Sharing Based on Past Events in Multiagent Reinforcement Learning Using an External Evaluator. Transactions of the Institute of Electronics, Information and Communication Engineers. 87(12). 1119–1127. 1 indexed citations

18.

Matsuo, Tokuro, Takayuki Itō, & Toramatsu Shintani. (2004). A qualitative-quantitative methods-based e-learning support system in economic education. National Conference on Artificial Intelligence. 592–597. 2 indexed citations

19.

Itō, Takayuki, et al.. (2000). Cooperative bidding mechanisms among agents in multiple online auctions. Lecture notes in computer science. 1886. 810. 2 indexed citations

20.

Wada, Koichi, et al.. (1999). A QUASI-EXPERIMENTAL TRIAL ON DESIGN EDUCATION : Study on the design educational method based on setting up imaginary architectural spaces. Journal of Architecture and Planning (Transactions of AIJ). 64(516). 145–151. 2 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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