Koichi Kise

3.3k total citations
230 papers, 1.8k citations indexed

About

Koichi Kise is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Koichi Kise has authored 230 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Computer Vision and Pattern Recognition, 76 papers in Human-Computer Interaction and 37 papers in Artificial Intelligence. Recurrent topics in Koichi Kise's work include Advanced Image and Video Retrieval Techniques (64 papers), Gaze Tracking and Assistive Technology (57 papers) and Handwritten Text Recognition Techniques (51 papers). Koichi Kise is often cited by papers focused on Advanced Image and Video Retrieval Techniques (64 papers), Gaze Tracking and Assistive Technology (57 papers) and Handwritten Text Recognition Techniques (51 papers). Koichi Kise collaborates with scholars based in Japan, Germany and Australia. Koichi Kise's co-authors include Masakazu Iwamura, Motoi Iwata, Kai Kunze, Shoya Ishimaru, Akinori Sato, Olivier Augereau, Andreas Dengel, Kai Kunze, Yoshihiro Yamada and Y. Utsumi and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Koichi Kise

201 papers receiving 1.7k citations

Peers

Koichi Kise
Lale Akarun Türkiye
Haibo Li China
Kenji Mase Japan
Mohammed Yeasin United States
Pierre Wellner United States
Roy A. Ruddle United Kingdom
Matthew Turk United States
Rajeev Sharma United States
Mohd Shahrizal Sunar Malaysia
Hideki Koike Japan
Lale Akarun Türkiye
Koichi Kise
Citations per year, relative to Koichi Kise Koichi Kise (= 1×) peers Lale Akarun

Countries citing papers authored by Koichi Kise

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Kise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Kise

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Kise. A scholar is included among the top collaborators of Koichi Kise 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 Koichi Kise. Koichi Kise 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
1.
Utsumi, Y., et al.. (2025). Unsupervised monocular depth estimation with omnidirectional camera for 3D reconstruction of grape berries in the wild. PLoS ONE. 20(2). e0317359–e0317359. 1 indexed citations
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Iwamura, Masakazu, et al.. (2023). Explainable Connectionist-Temporal-Classification-Based Scene Text Recognition. Journal of Imaging. 9(11). 248–248.
5.
Fink, Gernot A., Rajiv Jain, Koichi Kise, & Richard Zanibbi. (2023). Document Analysis and Recognition - ICDAR 2023. Lecture notes in computer science. 10 indexed citations
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Tag, Benjamin, et al.. (2023). Poverty Traps in Online Knowledge-Based Peer-Production Communities. Informatics. 10(3). 61–61.
9.
Ishimaru, Shoya, et al.. (2022). Delivering Sensing Technologies for Education and Learning. SPIRE - Sciences Po Institutional REpository. 263–266.
10.
Ishimaru, Shoya, Kai Kunze, Koichi Kise, & Andreas Dengel. (2016). The wordometer 2.0. 293–296. 10 indexed citations
11.
Kise, Koichi, Masakazu Iwamura, Shinichiro Omachi, & Seiichi Uchida. (2015). A Trial for Development of Fundamental Technologies for New Usage of Character and Document Media. The Journal of Institute of Electronics, Information and Communication Engineers. 98(4). 311–327.
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Iwamura, Masakazu, et al.. (2011). Affine Invariant Character Recognition by Progressive Removing. IEEJ Transactions on Industry Applications. 131(7). 873–879.
13.
Kise, Koichi, et al.. (2011). Similar Partial Copy Recognition for Line Drawings Using Concentric Multi-Region Histograms of Oriented Gradients. Machine Vision and Applications. 71–74. 2 indexed citations
14.
Kise, Koichi, et al.. (2010). Camera Pen System Using Feature Tracking and Document Image Retrieval. IEICE Technical Report; IEICE Tech. Rep.. 109(418). 39–44. 1 indexed citations
15.
Kise, Koichi, et al.. (2009). A Method of Memory Reduction for Specific Object Recognition with a Bloomier Filter. 27–28. 3 indexed citations
16.
Kise, Koichi & Hiroshi Sako. (2008). Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, September 16-19, 2008, Nara, Japan. 1 indexed citations
17.
Nakai, Tomohiro, et al.. (2006). Experimental Investigation of Relation Between Near Neighbor Search Methods for Feature Vectors and Efficiency of Object Recognition. 2006(93). 57–64. 1 indexed citations
18.
Kise, Koichi & Noboru Babaguchi. (1994). Representing, Utilizing and Acquiring Knowledge for Document lmage Understanding. IEICE Transactions on Information and Systems. 770–777. 2 indexed citations
19.
Kise, Koichi, et al.. (1992). IMPROVEMENT OF TEXT IMAGE RECOGNITION BASED ON LINGUISTIC CONSTRAINTS. Machine Vision and Applications. 511–514. 2 indexed citations
20.
Kise, Koichi, et al.. (1990). Model Based Understanding of Document Images.. Machine Vision and Applications. 471–474. 11 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.

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