Itsuki Noda

3.7k total citations
85 papers, 1.6k citations indexed

About

Itsuki Noda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Itsuki Noda has authored 85 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 16 papers in Control and Systems Engineering. Recurrent topics in Itsuki Noda's work include Evacuation and Crowd Dynamics (13 papers), Reinforcement Learning in Robotics (12 papers) and Robotics and Automated Systems (11 papers). Itsuki Noda is often cited by papers focused on Evacuation and Crowd Dynamics (13 papers), Reinforcement Learning in Robotics (12 papers) and Robotics and Automated Systems (11 papers). Itsuki Noda collaborates with scholars based in Japan, United States and Italy. Itsuki Noda's co-authors include Hiroaki Kitano, Minoru Asada, Eiichi Osawa, Hitoshi Matsubara, Yasuo Kuniyoshi, Satoshı Tadokoro, Kazuo Hiraki, Ian Frank, Tokiichiro Takahashi and Susumu Shimada and has published in prestigious journals such as IEEE Access, Artificial Intelligence and Lecture notes in computer science.

In The Last Decade

Itsuki Noda

71 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Itsuki Noda Japan 17 741 509 270 248 245 85 1.6k
Paul Scerri United States 22 607 0.8× 284 0.6× 157 0.6× 163 0.7× 500 2.0× 111 1.6k
Gerhard Lakemeyer Germany 22 1.5k 2.0× 762 1.5× 445 1.6× 170 0.7× 278 1.1× 151 2.6k
Edward Tunstel United States 22 500 0.7× 523 1.0× 409 1.5× 248 1.0× 275 1.1× 89 1.6k
Gal A. Kaminka Israel 28 1.3k 1.7× 965 1.9× 398 1.5× 366 1.5× 1.1k 4.4× 150 2.9k
Malik Ghallab France 20 1.4k 2.0× 459 0.9× 367 1.4× 163 0.7× 586 2.4× 50 2.2k
Adrian Agogino United States 26 481 0.6× 120 0.2× 239 0.9× 489 2.0× 215 0.9× 81 1.5k
Bilal Piot United Kingdom 8 1.2k 1.6× 348 0.7× 415 1.5× 61 0.2× 334 1.4× 12 2.0k
Longzhi Yang United Kingdom 24 891 1.2× 448 0.9× 323 1.2× 54 0.2× 467 1.9× 136 2.0k
Noa Agmon Israel 17 296 0.4× 497 1.0× 113 0.4× 239 1.0× 746 3.0× 73 1.2k
Yinong Chen United States 28 816 1.1× 251 0.5× 440 1.6× 270 1.1× 1.5k 6.0× 212 3.0k

Countries citing papers authored by Itsuki Noda

Since Specialization
Citations

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

Fields of papers citing papers by Itsuki Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itsuki Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Itsuki Noda. A scholar is included among the top collaborators of Itsuki Noda 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 Itsuki Noda. Itsuki Noda 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.
Suzuki, Masahiro, et al.. (2024). JaFIn: Japanese Financial Instruction Dataset. 1–10. 1 indexed citations
2.
Umemoto, D., et al.. (2024). Urban scale pedestrian simulation in Kobe City center. Artificial Life and Robotics. 29(2). 211–217.
3.
Oyama, Satoshi, et al.. (2022). Explainable Recommendation Using Knowledge Graphs and Random Walks. 2022 IEEE International Conference on Big Data (Big Data). 4028–4032.
4.
Onishi, Masaki, et al.. (2022). Simulation Analysis on Benefits of Introducing Meeting Points Into On-Demand Shared Mobility Services. IEEE Access. 10. 124114–124129. 2 indexed citations
5.
Ozaki, Yoshihiko, et al.. (2019). Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene. 2192–2194. 1 indexed citations
6.
Noda, Itsuki, et al.. (2017). Roadmap and research issues of multiagent social simulation using high-performance computing. Journal of Computational Social Science. 1(1). 155–166. 2 indexed citations
7.
Nakashima, Hideyuki, et al.. (2015). CONCEPT AND IMPLEMENTATION OF A NEW PUBLIC TRANSPORTATION SYSTEM THAT UNIFIES THE BUS AND TAXI SERVICES. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 71(5). I_875–I_888. 3 indexed citations
8.
Sakaki, Takeshi, et al.. (2013). How Did We Used Twitter, How Communicate in Twitter at Catastrophic Earthquake in Japan. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 25(1). 598–608.
9.
Noda, Itsuki, et al.. (2012). Simulation, Modeling, and Programming for Autonomous Robots: Third International Conference, SIMPAR 2012, Tsukuba, Japan, November 5-8, 2012. Springer eBooks. 7628.
10.
Yamashita, Tomohisa, Masaki Onishi, & Itsuki Noda. (2011). Verification of evacuation plan by exhaustive testing with evacuation simulator NetMAS. Society of Instrument and Control Engineers of Japan. 120–125.
11.
Matsui, Hiroki, et al.. (2009). Cooperation of Disaster Related Systems on Distributed System Architecture. Journal of Japan Association for Earthquake Engineering. 9(2). 61–72. 1 indexed citations
12.
HISADA, Yoshiaki, Masahiro Murakami, Osamu Takizawa, et al.. (2009). A Study on Intelligence Sharing using the Support System for Disaster Information Collection with Information and Communication Technology. Journal of Japan Association for Earthquake Engineering. 9(2). 113–129. 1 indexed citations
13.
Murakami, Masahiro, et al.. (2009). Development on Web GIS-based Support System for Collecting and Sharing Information by Collaboration between Local Government and Residents. Journal of Japan Association for Earthquake Engineering. 9(2). 200–220.
14.
HISADA, Yoshiaki, Masahiro Murakami, Makoto Endo, et al.. (2009). Earthquake Drill for Effective Emergency Response and Quick Collection of Damage Information by Collaboration between Local Government and Residents. Journal of Japan Association for Earthquake Engineering. 9(2). 130–147. 3 indexed citations
15.
Jacoff, Adam, et al.. (2006). RoboCup 2005: Robot Soccer World Cup IX (Lecture Notes in Computer Science). Springer eBooks. 4 indexed citations
16.
Hada, Yasushi, Hajime Asama, Itsuki Noda, et al.. (2005). 2P1-S-092 Development of research platform of social infrastructure Rescue-Communicator(Rescue System and Rescue Engineering 5,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2005(0). 224–224. 1 indexed citations
17.
Asada, Minoru, Hiroaki Kitano, Itsuki Noda, & Manuela Veloso. (1999). RoboCup: Today and tomorrow—What we have learned. Artificial Intelligence. 110(2). 193–214. 73 indexed citations
18.
Tanaka‐Ishii, Kumiko, Kôiti Hasida, & Itsuki Noda. (1998). Reactive content selection in the generation of real-time soccer commentary. 2. 1282–1288. 22 indexed citations
19.
Tanaka‐Ishii, Kumiko, Kôiti Hasida, & Itsuki Noda. (1998). Reactive content selection in the generation of real-time soccer commentary. 2. 1282–1288. 10 indexed citations
20.
Kitano, Hiroaki, Minoru Asada, Yasuo Kuniyoshi, et al.. (1997). RoboCup: A Challenge Problem for AI. AI Magazine. 18(1). 73–85. 235 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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