Yasuhiro Takishima

44 papers receiving 406 citations

Peers

Yasuhiro Takishima
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 279
  • Signal Processing 167
  • Artificial Intelligence 149
  • Computer Networks and Communications 117
  • Electrical and Electronic Engineering 109
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Nirmalya Kar India
José Pedro Magalhães Netherlands
Subariah Ibrahim Malaysia
James W. Forgie United States
Haila Wang China
Sanjeev Mehrotra United States
Nathan Keller Israel
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D. Mlynek Switzerland
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Yasuhiro Takishima

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Takishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Takishima

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Takishima. A scholar is included among the top collaborators of Yasuhiro Takishima 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 Yasuhiro Takishima. Yasuhiro Takishima 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
#WorkIndexed citations
1 27
2 1
3 1
4 10
5 1
6 14
7 2
8 0
9
Gray-scale Image Hiding Method for Plural Halftone Images Based on Error Diffusion Technique
2
10
A Compressed-Domain Fast MPEG-2 Video Stitching Method
0
11
Digital Video Scrambling Method within Closed Region Using MPEG Intra Frame Prediction
1
12 3
13 2
14
A Watermarking Method Retrievable from MPEG Compressed Stream
2
15 1
16 3
17 179
18
An Analysis of Optimal Frame Rate in Low Bit Rate Video Coding
5
19 1
20 2

About Yasuhiro Takishima

Yasuhiro Takishima is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 50 papers that have together received 435 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (19 papers), Advanced Data Compression Techniques (9 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Signal Processing (167 citations), Computer Vision and Pattern Recognition (279 citations) and Computer Networks and Communications (117 citations). Yasuhiro Takishima has collaborated with scholars based in Japan, Sweden and China. Frequent co-authors include Masahiro Wada, H. Murakami, Koichi Takagi, Yasuyuki Nakajima, Shigeyuki Sakazawa, Keiichiro Hoashi, Akio Yoneyama, Kazunori Matsumoto, Gen Hattori and Jiro Katto. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Circuits and Systems for Video Technology and IEICE Transactions on Communications.

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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