Satoshi Tojo

867 total citations
89 papers, 358 citations indexed

About

Satoshi Tojo is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Satoshi Tojo has authored 89 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 31 papers in Signal Processing and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in Satoshi Tojo's work include Music Technology and Sound Studies (27 papers), Music and Audio Processing (26 papers) and Semantic Web and Ontologies (26 papers). Satoshi Tojo is often cited by papers focused on Music Technology and Sound Studies (27 papers), Music and Audio Processing (26 papers) and Semantic Web and Ontologies (26 papers). Satoshi Tojo collaborates with scholars based in Japan, Thailand and Singapore. Satoshi Tojo's co-authors include Keiji Hirata, Masatoshi Hamanaka, Le-Minh Nguyen, Ken Satoh, Vu Tran, Akira Shimazu, Nhung T. H. Nguyen, Yoshimasa Tsuruoka, Makoto Miwa and Teeradaj Racharak and has published in prestigious journals such as BMC Bioinformatics, IEEE Transactions on Knowledge and Data Engineering and Future Generation Computer Systems.

In The Last Decade

Satoshi Tojo

71 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Tojo Japan 11 166 154 153 117 59 89 358
Daniele P. Radicioni Italy 11 36 0.2× 211 1.4× 45 0.3× 37 0.3× 41 0.7× 51 304
Yun-Hsuan Sung United States 10 75 0.5× 596 3.9× 116 0.8× 8 0.1× 16 0.3× 20 695
Donato Pirozzi Italy 10 66 0.4× 52 0.3× 138 0.9× 23 0.2× 39 0.7× 32 272
Ashutosh Modi India 13 16 0.1× 382 2.5× 74 0.5× 12 0.1× 49 0.8× 34 479
Maarten Versteegh Netherlands 6 84 0.5× 267 1.7× 45 0.3× 14 0.1× 4 0.1× 14 407
Hannah Kim United States 10 46 0.3× 160 1.0× 213 1.4× 10 0.1× 4 0.1× 17 333
Gaël Dias Portugal 13 79 0.5× 368 2.4× 42 0.3× 24 0.2× 5 0.1× 60 525
Katsumi Nitta Japan 9 9 0.1× 172 1.1× 32 0.2× 15 0.1× 26 0.4× 70 287
Dan Iter United States 7 14 0.1× 294 1.9× 58 0.4× 32 0.3× 8 0.1× 16 476
F. Nack Netherlands 11 97 0.6× 152 1.0× 281 1.8× 17 0.1× 3 0.1× 29 458

Countries citing papers authored by Satoshi Tojo

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Tojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Tojo

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Tojo. A scholar is included among the top collaborators of Satoshi Tojo 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 Satoshi Tojo. Satoshi Tojo 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.
Nakamura, Makoto, et al.. (2015). Simulation of Emergence of Local Common Languages Using Iterated Learning Model on Social Networks. 8. 374–384. 1 indexed citations
2.
Hirata, Keiji, Satoshi Tojo, & Masatoshi Hamanaka. (2014). Cognitive Similarity Grounded by Tree Distance from the Analysis of K.265/300e. Lecture notes in computer science. 8905. 589–605. 1 indexed citations
3.
Hirata, Keiji, Satoshi Tojo, & Masatoshi Hamanaka. (2011). Melodic Morphing Algorithm in Formalism. Lecture notes in computer science. 6726. 338–341. 1 indexed citations
4.
Miura, Yuji, Masatoshi Hamanaka, Keiji Hirata, & Satoshi Tojo. (2009). Use of Decision Tree to Detect GTTM Group Boundaries. The Journal of the Abraham Lincoln Association. 5 indexed citations
5.
Hamanaka, Masatoshi, Keiji Hirata, & Satoshi Tojo. (2009). Melody Extrapolation in GTTM Approach. The Journal of the Abraham Lincoln Association. 2009. 2 indexed citations
6.
Hamanaka, Masatoshi, Keiji Hirata, & Satoshi Tojo. (2008). Melody Morphing Method Based on GTTM. The Journal of the Abraham Lincoln Association. 2008. 13 indexed citations
7.
Nakamura, Makoto, Takashi Hashimoto, & Satoshi Tojo. (2007). Exposure Dependent Creolization in Language Dynamics Equation. JAIST Repository. 3 indexed citations
8.
Nagashima, Yoshinao, et al.. (2007). Effects of cedrol on the autonomic nervous system and survey of sleep and stress in USA. 31(3). 148–152. 2 indexed citations
9.
Washio, Takashi, et al.. (2006). New Frontiers in Artificial Intelligence: Joint JSAI 2005 Workshop Post-Proceedings (Lecture Notes in Computer Science). Springer eBooks. 3 indexed citations
10.
Tojo, Satoshi, et al.. (2006). Stable legal knowledge with regard to contradictory arguments. 323–328. 2 indexed citations
11.
Tojo, Satoshi, et al.. (2006). Discordance Detection in Regional Ordinance: Ontology-based Validation. 111–120. 3 indexed citations
12.
Nakamura, Makoto, Takashi Hashimoto, & Satoshi Tojo. (2003). The Language Dynamics Equations of Population-Based Transition - A Scenario for Creolization.. International Conference on Artificial Intelligence. 2. 689–695.
13.
Matsui, Hiroki & Satoshi Tojo. (2003). Artificial Market with Intervention Agent.. Indian International Conference on Artificial Intelligence. 1255–1268.
14.
Hayashi, Eri, et al.. (2003). Automatic Generation of Event Structure for Japanese Cooking Recipes.. Journal of Natural Language Processing. 10(2). 3–17. 4 indexed citations
15.
Kaneiwa, Ken, et al.. (2003). Occurrence Logic with Temporal Heredity.. Indian International Conference on Artificial Intelligence. 1296–1309.
16.
Nagata, Yuichi, et al.. (2002). Reinforcement learning method for multi-agent systems by generalized reciprocity. 128–128. 1 indexed citations
17.
Tojo, Satoshi, et al.. (1996). Common language acquisition by multi-agents. JAIST Repository. 96. 1–14. 1 indexed citations
18.
Tojo, Satoshi, et al.. (1995). A Legal Reasoning System Based on Situation Theory. 36(1). 51–60. 2 indexed citations
19.
Nitta, Katsumi, et al.. (1994). Knowledge Representation of New HELIC II.. International Conference on Lightning Protection. 3 indexed citations
20.
Tojo, Satoshi, et al.. (1992). Situated Inference of Temporal Information.. Future Generation Computer Systems. 36(11). 395–404. 1 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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