Haruo Asada

1.5k citations
9 papers · 1.0k indexed · h-index 5

Impact in

Papers in

Haruo Asada

9 papers receiving 930 citations

Peers

Haruo Asada
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 870
  • Computer Graphics and Computer-Aided Design 103
  • Aerospace Engineering 213
  • Computational Mechanics 153
  • Media Technology 63
Replace Rolf Lakämper with:
Rolf Lakämper Germany
J. Oliensis United States
D. Keren Israel
Vishvjit S. Nalwa United States
Luc J. Van Gool Belgium
B. Horowitz United States
Ameesh Makadia United States
G. Scott United Kingdom
Larry S. Shapiro United Kingdom
José Gabriel R. C. Gomes Brazil
Haruo Asada relative to Rolf Lakämper Germany Rolf Lakämper's profile →
Citations per field
00.5×1.5×2.1×
Rolf Lakämper · 1×
Citations per year

Countries citing papers authored by Haruo Asada

Since Specialization
Citations

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

Fields of papers citing papers by Haruo Asada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Haruo Asada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haruo Asada Line = papers co-authored together Haruo Asada links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Major components of a complete text reading system
19959
2 19912
3
OBJECT RECOGNITION USING A TREE-LIKE PROCEDURE GENERATED FROM 3-D MODEL
19882
4 1986499
5 1985195
6 1984261
7 19793
8 197345
9 19711

About Haruo Asada

Haruo Asada is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Environmental Engineering, Signal Processing and Ocean Engineering, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Image Retrieval and Classification Techniques (2 papers), Remote Sensing and LiDAR Applications (2 papers), Adaptive optics and wavefront sensing (1 paper), Optical Polarization and Ellipsometry (1 paper), Handwritten Text Recognition Techniques (1 paper), CCD and CMOS Imaging Sensors (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (870 citations), Computer Graphics and Computer-Aided Design (103 citations), Aerospace Engineering (213 citations), Computational Mechanics (153 citations) and Media Technology (63 citations). Haruo Asada has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Michael Brady, Alan Yuille, Jean Ponce, Masatsugu Kidode, Kenichi Mori, Mitsuo Tabata, Kazunori Onoguchi and Yoshinori Kuno. Their work appears in journals such as Machine Vision and Applications, The International Journal of Robotics Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, Systems and Computers in Japan and Journal of the Japan Society of Precision Engineering.

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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