Hideaki Takeda

4.2k total citations · 1 hit paper
197 papers, 2.3k citations indexed

About

Hideaki Takeda is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Hideaki Takeda has authored 197 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Artificial Intelligence, 59 papers in Information Systems and 27 papers in Statistical and Nonlinear Physics. Recurrent topics in Hideaki Takeda's work include Semantic Web and Ontologies (60 papers), Complex Network Analysis Techniques (27 papers) and Service-Oriented Architecture and Web Services (20 papers). Hideaki Takeda is often cited by papers focused on Semantic Web and Ontologies (60 papers), Complex Network Analysis Techniques (27 papers) and Service-Oriented Architecture and Web Services (20 papers). Hideaki Takeda collaborates with scholars based in Japan, United States and Thailand. Hideaki Takeda's co-authors include Ikuya Yamada, Hiroyuki Shindo, Tetsuo Tomiyama, Akari Asai, Yoshiyasu Takefuji, Yūji Matsumoto, Masahiro Hamasaki, Hiroyuki Yoshikawa, Takuichi Nishimura and Paul Veerkamp and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Hideaki Takeda

163 papers receiving 2.1k citations

Hit Papers

LUKE: Deep Contextualized Entity Representations with Ent... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideaki Takeda Japan 22 1.3k 522 303 298 244 197 2.3k
H. Van Dyke Parunak United States 27 1.1k 0.9× 316 0.6× 298 1.0× 300 1.0× 532 2.2× 133 2.6k
Konstantinos Tarabanis Greece 28 575 0.5× 581 1.1× 665 2.2× 207 0.7× 213 0.9× 170 2.9k
Jacques Ferber France 15 1.3k 1.0× 377 0.7× 175 0.6× 130 0.4× 234 1.0× 44 2.6k
Giovanna Di Marzo Serugendo Switzerland 20 487 0.4× 304 0.6× 112 0.4× 372 1.2× 180 0.7× 124 1.7k
Onn Shehory Israel 23 1.5k 1.1× 531 1.0× 191 0.6× 158 0.5× 146 0.6× 107 3.6k
Michael N. Huhns United States 26 1.8k 1.4× 1.4k 2.8× 369 1.2× 106 0.4× 194 0.8× 154 3.6k
Agostino Poggi Italy 20 1.0k 0.8× 608 1.2× 134 0.4× 77 0.3× 118 0.5× 102 1.9k
Marco Mamei Italy 30 517 0.4× 383 0.7× 437 1.4× 554 1.9× 233 1.0× 156 2.4k
Xiaohui Yan China 23 1.4k 1.1× 427 0.8× 239 0.8× 109 0.4× 95 0.4× 59 2.4k
Sean Luke United States 27 2.0k 1.5× 342 0.7× 227 0.7× 168 0.6× 123 0.5× 70 3.3k

Countries citing papers authored by Hideaki Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Takeda. A scholar is included among the top collaborators of Hideaki Takeda 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 Hideaki Takeda. Hideaki Takeda 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.
Kondoh, Shinsuke, et al.. (2024). Human-Centered Problem Solving in Manufacturing: The Digital Triplet Approach. IFAC-PapersOnLine. 58(19). 169–174. 1 indexed citations
2.
Kondoh, Shinsuke, et al.. (2023). Development of a process modeling method for supporting engineering activities based on digital triplet. SHILAP Revista de lepidopterología. 89(927). 22–177.
3.
Yamada, Ikuya, Akari Asai, Hiroyuki Shindo, et al.. (2020). Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia. 23–30. 91 indexed citations
4.
Yamada, Ikuya, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, & Yoshiyasu Takefuji. (2018). Wikipedia2Vec: An Optimized Tool for Learning Embeddings of Words and Entities from Wikipedia.. arXiv (Cornell University). 20 indexed citations
5.
Yamada, Ikuya, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, & Yoshiyasu Takefuji. (2018). Wikipedia2Vec: An Optimized Implementation for Learning Embeddings from Wikipedia. arXiv (Cornell University). 1 indexed citations
6.
Yamada, Ikuya, Hiroyuki Shindo, Hideaki Takeda, & Yoshiyasu Takefuji. (2016). Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation. 250–259. 175 indexed citations
7.
Takeda, Hideaki, et al.. (2016). Agriculture Activity Ontology : An Ontology for Core Vocabulary of Agriculture Activity.. International Semantic Web Conference. 4 indexed citations
8.
Takeda, Hideaki, et al.. (2014). Factors Affecting Retweetability: An Event-Centric Analysis on Twitter. Journal of the Association for Information Systems. 10 indexed citations
9.
Takeda, Hideaki, et al.. (2013). An LOD practice lessons learned from open data METI. CEUR Workshop Proceedings. 1192. 12–26. 1 indexed citations
10.
Matsuoka, Yuki, et al.. (2007). Aikuchi: Marking-based Social Navigation System. 1 indexed citations
11.
Ichise, Ryutaro, et al.. (2006). ACTION-ORIENTED WEBLOG TO SUPPORT ACADEMIC CONFERENCE PARTICIPANTS. 1 indexed citations
12.
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
13.
Takeda, Hideaki, et al.. (2005). Building Semantic Web Applications as Information and Knowledge Sharing Systems. Journal of Education and Health Promotion. 4. 62–62. 1 indexed citations
14.
Takeda, Hideaki, et al.. (2005). AN ARCHITECTURE FOR DESIGNERS’ SUPPORT SYSTEMS WITH KNOWLEDGE-EMBEDDED DOCUMENTS. 3723. 1 indexed citations
15.
Takeda, Hideaki, et al.. (2004). Collaborative task scheduling method based on social network analysis for cellphone application. 763–770. 1 indexed citations
16.
Ichise, Ryutaro, Hideaki Takeda, & Shinichi Honiden. (2003). Integrating multiple internet directories by instance-based learning. International Joint Conference on Artificial Intelligence. 22–28. 30 indexed citations
17.
Takeda, Hideaki, Hiroki Sasaki, Yutaka NOMAGUCHI, et al.. (2003). UNIVERSAL ABDUCTION STUDIO - PROPOSAL OF A DESIGN SUPPORT ENVIRONMENT FOR CREATIVE THINKING IN DESIGN. DS 31: Proceedings of ICED 03, the 14th International Conference on Engineering Design, Stockholm. 21 indexed citations
18.
Ichise, Ryutaro, Hideaki Takeda, & Shinichi Honiden. (2001). Acquiring Classification Rules for a Concept Hierarchy using Category Alignment. 51–51.
19.
Takahashi, Tōru & Hideaki Takeda. (2001). TelMeA: An Asynchronous Community System with Avatar-like Agents.. International Conference on Human-Computer Interaction. 190–197. 7 indexed citations
20.
Takeda, Hideaki, Paul Veerkamp, Tetsuo Tomiyama, & Hiroyuki Yoshikawa. (1990). Modeling design processes. AI Magazine. 11(4). 1–25. 201 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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