Akikazu Takeuchi

1.1k total citations
22 papers, 609 citations indexed

About

Akikazu Takeuchi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Akikazu Takeuchi has authored 22 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Akikazu Takeuchi's work include Logic, Reasoning, and Knowledge (5 papers), Hearing Impairment and Communication (4 papers) and Logic, programming, and type systems (4 papers). Akikazu Takeuchi is often cited by papers focused on Logic, Reasoning, and Knowledge (5 papers), Hearing Impairment and Communication (4 papers) and Logic, programming, and type systems (4 papers). Akikazu Takeuchi collaborates with scholars based in Japan, Israel and Canada. Akikazu Takeuchi's co-authors include Katashi Nagao, Ehud Shapiro, Koichi Furukawa, Yutaro Shigeto, M. H. van Emden, Susumu Kunifuji, Kazunori Ueda, Haruo Yokota, K. Furukawa and Masashi Shimbo and has published in prestigious journals such as Pattern Recognition Letters, Future Generation Computer Systems and Computer Vision and Image Understanding.

In The Last Decade

Akikazu Takeuchi

21 papers receiving 478 citations

Peers

Countries citing papers authored by Akikazu Takeuchi

Since Specialization

Citations

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

Fields of papers citing papers by Akikazu Takeuchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akikazu Takeuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Akikazu Takeuchi. A scholar is included among the top collaborators of Akikazu Takeuchi 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 Akikazu Takeuchi. Akikazu Takeuchi 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

#	Work	Indexed citations
1	Learning Decorrelated Representations Efficiently Using Fast Fourier Transform 2023 ·Yutaro Shigeto, Masashi Shimbo, (unknown), Akikazu Takeuchi	2
2	Action class relation detection and classification across multiple video datasets 2023 ·Pattern Recognition Letters ·(unknown), Yutaro Shigeto, Masashi Shimbo, Akikazu Takeuchi	2
3	MetaVD: A Meta Video Dataset for enhancing human action recognition datasets 2021 ·Computer Vision and Image Understanding ·(unknown), Yutaro Shigeto, Akikazu Takeuchi	6
4	Video Caption Dataset for Describing Human Actions in Japanese 2020 ·arXiv (Cornell University) ·Yutaro Shigeto, (unknown), (unknown), Akikazu Takeuchi	1
5	STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset 2017 ·(unknown), Yutaro Shigeto, Akikazu Takeuchi	63
6	Situated facial displays 1995 ·Akikazu Takeuchi, (unknown)	91
7	Social interaction: multimodal conversation with social agents 1994 ·National Conference on Artificial Intelligence ·Katashi Nagao, Akikazu Takeuchi	45
8	Speech dialogue with facial displays 1994 ·Akikazu Takeuchi, Katashi Nagao	8
9	Speech dialogue with facial displays 1994 ·Katashi Nagao, Akikazu Takeuchi	44
10	Communicative facial displays as a new conversational modality 1993 ·Akikazu Takeuchi, Katashi Nagao	92
11	Parallel Logic Programming 1992 ·Akikazu Takeuchi	8
12	Parallel logic programming languages 1988 ·MIT Press eBooks ·Akikazu Takeuchi, K. Furukawa	5
13	Competitive partial evaluation 1988 ·New Generation Computing ·Akikazu Takeuchi, Hiroshi Fujita	2
14	An Object-Oriented Programming Language Based on the Parallel Logic Programming Language KL1. 1987 ·International Conference on Lightning Protection ·(unknown), Akikazu Takeuchi, Koichi Furukawa	5
15	Partial Evaluation of Prolog Programs and its Application to Meta Programming. 1986 ·IFIP Congress ·Akikazu Takeuchi, Koichi Furukawa	55
16	Bounded buffer communication in Concurrent Prolog 1985 ·New Generation Computing ·Akikazu Takeuchi, Koichi Furukawa	11
17	MANDALA: A LOGIC BASED KNOWLEDGE PROGRAMMING SYSTEM. 1984 ·Future Generation Computer Systems ·Koichi Furukawa, Akikazu Takeuchi, Susumu Kunifuji, (unknown), (unknown), Kazunori Ueda	20
18	A knowledge assimilation method for logic databases 1984 ·New Generation Computing ·(unknown), Susumu Kunifuji, (unknown), Koichi Furukawa, Akikazu Takeuchi, Haruo Yokota	19
19	Mandala : A Concurrent Prolog Based Knowledge Programming Language/System 1983 ·Koichi Furukawa, Akikazu Takeuchi, Susumu Kunifuji	1
20	Object oriented programming in Concurrent Prolog 1983 ·New Generation Computing ·Ehud Shapiro, Akikazu Takeuchi	101

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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