Takeshi Agui

595 total citations
49 papers, 444 citations indexed

About

Takeshi Agui is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Takeshi Agui has authored 49 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 6 papers in Artificial Intelligence. Recurrent topics in Takeshi Agui's work include Advanced Numerical Analysis Techniques (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Image and Object Detection Techniques (5 papers). Takeshi Agui is often cited by papers focused on Advanced Numerical Analysis Techniques (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Image and Object Detection Techniques (5 papers). Takeshi Agui collaborates with scholars based in Japan, South Korea and Brazil. Takeshi Agui's co-authors include Masayuki Nakajima, Hiroshi Nagahashi, Masayuki Nakajima, Tomoharu Nagao, Masayuki Nakajima, Yasuaki Teramachi, Hiroki Takahashi, Tae‐Kyun Kim, Zhong Zheng and Kiyoshi Arai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEICE Transactions on Information and Systems and IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences.

In The Last Decade

Takeshi Agui

44 papers receiving 390 citations

Peers

Takeshi Agui
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 306
  • Signal Processing 217
  • Artificial Intelligence 53
  • Electrical and Electronic Engineering 47
  • Hardware and Architecture 38
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Citations per field, relative to Takeshi Agui
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Citations per year, relative to Takeshi Agui
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Countries citing papers authored by Takeshi Agui

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Agui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Agui

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Agui. A scholar is included among the top collaborators of Takeshi Agui 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 Takeshi Agui. Takeshi Agui 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
# Work Indexed citations
1
Classification of Age Group Based on Facial Images of Young Males by Using Neural Networks
20
2
Image - based Tree Shadow Morphing Technique
0
3 1
4
A Method for C^2 Piecewise Quartic Polynomial Interpolation
1
5
A Direct Relation between Bezier and polynomial Representation
2
6 0
7
Edge Trace of Images using Neural Networks
1
8
A New Method for Smooth Interpolation without Twist Constraints
4
9
Interpolation of CT Slices for Laser Stereolithography
2
10
Structural Evolution of Neural Networks Having Arbitrary Connections by a Genetic Method
11
11 1
12
Orientable closed surface construction from volume data
7
13
A Progressive Build-up Coding Method for Color Image Data Base
1
14
Generating breadth-first expression for gray scale quadtree
1
15
Compression of dithered binary images using Hilbert scan
6
16
A Fast DCT-SQ Scheme for Images
279
17 1
18
A Fast Identification of Closed Regions Contained in a Series of Cel-Animation Frames
0
19 14
20 4

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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