K. Hachimura

507 citations
11 papers · 189 indexed · h-index 8
Topics
Human Motion and Animation (7 papers)Human Pose and Action Recognition (5 papers)Image Retrieval and Classification Techniques (3 papers)
Journals
The Journal of The Institute of Image Information and Television EngineersJournal of Toxicology Clinical Toxicology
Partner nations
Japan

In The Last Decade

K. Hachimura

10 papers receiving 178 citations

Peers

K. Hachimura
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 145
  • Control and Systems Engineering 125
  • Human-Computer Interaction 30
  • Experimental and Cognitive Psychology 28
  • Social Psychology 17
Replace Jen-Yuan Chiang with:
Jen-Yuan Chiang United States
M. Costa Brazil
Margaux Lhommet United States
Herwin van Welbergen Netherlands
Angelo Mangili Switzerland
Uttaran Bhattacharya United States
Cristina Palmero Spain
Naoshi Kaneko Japan
Parag Chaudhuri India
Dai Hasegawa Japan
K. Hachimura relative to Jen-Yuan Chiang United States Jen-Yuan Chiang's profile →
Citations per field
00.5×1.5×2.3×
Jen-Yuan Chiang · 1×
Citations per year

Countries citing papers authored by K. Hachimura

Since Specialization
Citations

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

Fields of papers citing papers by K. Hachimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Hachimura

This figure shows the co-authorship network connecting the top 25 collaborators of K. Hachimura. A scholar is included among the top collaborators of K. Hachimura 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 K. Hachimura. K. Hachimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 8
2 30
3 3
4 10
5 40
6 31
7 0
8 40
9 4
10 12
11 11

About K. Hachimura

K. Hachimura is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering, having authored 11 papers that have together received 189 indexed citations. Recurring topics across this work include Human Motion and Animation (7 papers), Human Pose and Action Recognition (5 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Human-Computer Interaction (30 citations) and Control and Systems Engineering (125 citations). K. Hachimura has collaborated with scholars based in Japan. Frequent co-authors include Hirokazu Kato, Hideyuki Tamura, Takashi Ohwada, Yasuhisa Wakabayashi and Y. Kawauchi. Their work appears in journals such as The Journal of The Institute of Image Information and Television Engineers and Journal of Toxicology Clinical Toxicology.

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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