Akisato Kimura

1.1k total citations
67 papers, 602 citations indexed

About

Akisato Kimura is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Akisato Kimura has authored 67 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 15 papers in Signal Processing. Recurrent topics in Akisato Kimura's work include Video Analysis and Summarization (13 papers), Music and Audio Processing (12 papers) and Visual Attention and Saliency Detection (9 papers). Akisato Kimura is often cited by papers focused on Video Analysis and Summarization (13 papers), Music and Audio Processing (12 papers) and Visual Attention and Saliency Detection (9 papers). Akisato Kimura collaborates with scholars based in Japan, Canada and United States. Akisato Kimura's co-authors include Kunio Kashino, Junji Yamato, Katsuhiko Ishiguro, Shigeru Takagi, Makoto Yamada, Hiroshi Sawada, Koh Takeuchi, Tomoharu Iwata, Xiaomeng Wu and Takatsugu Hirayama and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Pattern Recognition and Signal Processing.

In The Last Decade

Akisato Kimura

56 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akisato Kimura Japan	14	380	183	102	51	47	67	602
Haoran Liang China	11	321 0.8×	136 0.7×	24 0.2×	33 0.6×	55 1.2×	31	569
Dongming Zhang China	11	303 0.8×	131 0.7×	77 0.8×	9 0.2×	24 0.5×	65	457
Hui Yan China	13	181 0.5×	161 0.9×	68 0.7×	47 0.9×	42 0.9×	52	477
Michele Covell United States	15	1.1k 2.8×	195 1.1×	639 6.3×	48 0.9×	30 0.6×	49	1.4k
Vidit Jain United States	9	934 2.5×	199 1.1×	199 2.0×	33 0.6×	39 0.8×	13	1.1k
Wan Azizun Wan Adnan Malaysia	14	264 0.7×	71 0.4×	151 1.5×	36 0.7×	37 0.8×	60	507
Luan Ling Lee Brazil	8	306 0.8×	119 0.7×	69 0.7×	15 0.3×	87 1.9×	24	408
Simone Marinai Italy	17	659 1.7×	247 1.3×	77 0.8×	47 0.9×	100 2.1×	61	903
Yuchi Huang United States	10	542 1.4×	211 1.2×	54 0.5×	15 0.3×	82 1.7×	16	702
Hua Yan China	11	151 0.4×	135 0.7×	89 0.9×	14 0.3×	21 0.4×	55	367

Countries citing papers authored by Akisato Kimura

Since Specialization

Citations

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

Fields of papers citing papers by Akisato Kimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akisato Kimura

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kimura, Akisato, et al.. (2025). Flexible Source-free Domain Generalization via Domain Prompt-Discriminator Collaborative Learning. 1–8.

Kimura, Akisato, et al.. (2022). Font Generation with Missing Impression Labels. 2022 26th International Conference on Pattern Recognition (ICPR). 1400–1406.

Fujiwara, Yasuhiro, et al.. (2021). Permuton-induced Chinese Restaurant Process. Neural Information Processing Systems. 34.

Wu, Xiaomeng, Yongqing Sun, Akisato Kimura, & Kunio Kashino. (2021). Reflectance-Oriented Probabilistic Equalization for Image Enhancement. 1835–1839. 6 indexed citations

Kimura, Akisato, et al.. (2020). Baxter Permutation Process. Neural Information Processing Systems. 33. 8648–8659. 2 indexed citations

Kimura, Akisato, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, & Naonori Ueda. (2018). Imitation networks: Few-shot learning of neural networks from scratch. arXiv (Cornell University). 4 indexed citations

Iwana, Brian Kenji, et al.. (2018). Introducing Local Distance-Based Features to Temporal Convolutional Neural Networks. 16. 92–97. 1 indexed citations

Ishiguro, Katsuhiko, et al.. (2014). Rectangular Tiling Process. International Conference on Machine Learning. 361–369. 10 indexed citations

Kimura, Akisato, et al.. (2014). Creating Stories from Socially Curated Microblog Messages. IEICE Transactions on Information and Systems. E97.D(6). 1557–1566. 1 indexed citations

10.

Takeuchi, Koh, Katsuhiko Ishiguro, Akisato Kimura, & Hiroshi Sawada. (2013). Non-negative multiple matrix factorization. International Joint Conference on Artificial Intelligence. 1713–1720. 17 indexed citations

11.

Yamada, Makoto, Akisato Kimura, Futoshi Naya, & Hiroshi Sawada. (2013). Change-point detection with feature selection in high-dimensional time-series data. International Joint Conference on Artificial Intelligence. 1827–1833. 29 indexed citations

12.

Kimura, Akisato. (2013). Social curation as corpora for large-scale multimedia content analysis. IEICE Technical Report; IEICE Tech. Rep.. 112(441). 161–166. 3 indexed citations

13.

Yonetani, Ryo, et al.. (2012). On the Image Segmentation Method. IEICE Technical Report; IEICE Tech. Rep.. 111(379). 103–108. 1 indexed citations

14.

Kimura, Akisato, Hirokazu Kameoka, & Kunio Kashino. (2010). Media Scene Learning: A Novel Framework for Automatically Extracting Meaningful Parts from Audio and Video Signals. NTT technical review. 8(11). 17–23.

15.

Kimura, Akisato, Kunio Kashino, Shin’ichi Satoh, et al.. (2010). NTT Communication Science Laboratories and NII in TRECVID 2010 Instance Search Task. TRECVID. 2 indexed citations

16.

Kimura, Akisato, et al.. (2009). Real-time estimation of human visual attention with MCMC-based particle filter. IEICE Technical Report; IEICE Tech. Rep.. 109(64). 83–88. 2 indexed citations

17.

Kimura, Akisato & Tomohiko Uyematsu. (2008). Multiterminal source coding with complementary delivery. Tokyo Tech Research Repository (Tokyo Institute of Technology). 106(59). 7–12. 9 indexed citations

18.

Kimura, Akisato, et al.. (2007). Large Deviations Performance of Interval Algorithm for Random Number Generation. Therapeutic Delivery. 5(2). 189–204. 2 indexed citations

19.

Kimura, Akisato, et al.. (2005). A Quick Template Matching Algorithm with Adaptive Window-Skipping Using Inner-Subtemplates' Distances. Transactions of the Institute of Electronics, Information and Communication Engineers. 88(8). 1389–1397. 1 indexed citations

20.

Kimura, Akisato, et al.. (2002). A quick search method for multimedia signals using feature compression based on piecewise linear maps. IEEE International Conference on Acoustics Speech and Signal Processing. c 21. IV–3656. 5 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.

Explore authors with similar magnitude of impact