Akihiro Sugimoto

2.9k citations
107 papers · 1.7k indexed · 1 hit paper · h-index 18
Topics
Advanced Vision and Imaging (23 papers)Robotics and Sensor-Based Localization (19 papers)Human Pose and Action Recognition (17 papers)
Partner nations
JapanFranceCzechia

In The Last Decade

Akihiro Sugimoto

100 papers receiving 1.6k citations

Hit Papers

Anabranch network for camouflaged object segmentation20192026202120232019100200300

Peers

Akihiro Sugimoto
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 1.2k
  • Artificial Intelligence 206
  • Aerospace Engineering 202
  • Electrical and Electronic Engineering 197
  • Human-Computer Interaction 139
Replace Michael Donoser with:
Michael Donoser Austria
Xiaojin Gong China
Shuai Li China
Xin Fan China
Lin Zheng China
Wei Feng China
James M. Coughlan United States
Zhengxing Sun China
Keren Fu China
Akihiro Sugimoto relative to Michael Donoser Austria Michael Donoser's profile →
Citations per field
00.5×7.6×
Michael Donoser · 1×
Citations per year

Countries citing papers authored by Akihiro Sugimoto

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Sugimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Sugimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Sugimoto. A scholar is included among the top collaborators of Akihiro Sugimoto 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 Akihiro Sugimoto. Akihiro Sugimoto 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 0
2 6
3 4
4 13
5 2
6
A two-stage strategy for real-time dense 3D reconstruction of large-scale scenes
1
7
Saliency-Based Image Modulation for Gaze Navigation
1
8 1
9 2
10 4
11 4
12 4
13 9
14 1
15 44
16 33
17
An MDL Approach to Learning Activity Grammars
3
18 5
19
Visualization Interface of Image Feature Space in Similarity-Based Image Retrieval
2
20
An Interface for Visualizing Feature Space in Image Retrieval.
2

About Akihiro Sugimoto

Akihiro Sugimoto is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 107 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Robotics and Sensor-Based Localization (19 papers) and Human Pose and Action Recognition (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Human-Computer Interaction (139 citations) and Sensory Systems (65 citations). Akihiro Sugimoto has collaborated with scholars based in Japan, France and Czechia. Frequent co-authors include Trung-Nghia Le, Minh–Triet Tran, Tam Nguyen, Yoichi Sato, Kris Kitani, Takahiro Okabe, Diego Thomas, Masami Tsuchida, Ayako Yoshida and Daisuke Sugimura. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biochemical and Biophysical Research 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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