Ken Anjyo

46 papers receiving 743 citations

Peers

Ken Anjyo
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 643
  • Control and Systems Engineering 396
  • Computational Mechanics 290
  • Computer Graphics and Computer-Aided Design 214
  • Human-Computer Interaction 47
Replace Wan‐Chun Ma with:
Wan‐Chun Ma United States
John Dingliana Ireland
Adam G. Kirk United States
Kiran Varanasi Germany
Daniel Sýkora Czechia
Jihun Yu United States
Ken‐ichi Anjyo Japan
Zerong Zheng China
Masayuki Nakajima Japan
Philippe Beaudoin Canada
Ken Anjyo relative to Wan‐Chun Ma United States Wan‐Chun Ma's profile →
Citations per field
00.5×2.7×
Wan‐Chun Ma · 1×
Citations per year

Countries citing papers authored by Ken Anjyo

Since Specialization
Citations

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

Fields of papers citing papers by Ken Anjyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Anjyo

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Anjyo. A scholar is included among the top collaborators of Ken Anjyo 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 Ken Anjyo. Ken Anjyo 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 8
2 1
3 0
4 27
5 3
6 3
7 2
8 1
9
RBF interpolation and Gaussian process regression through an RKHS formulation
17
10 2
11
ACM SIGGRAPH ASIA 2009 Sketches
3
12 18
13 30
14
Simulation-based cartoon hair animation
11
15
Computer Animation 2005 : ACM SIGGRAPH/Eurographics Symposium on Computer Animation, Los Angeles, California, July 29-31, 2005
1
16
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
13
17 8
18 5
19 2
20 18

About Ken Anjyo

Ken Anjyo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 49 papers that have together received 811 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (29 papers), Human Motion and Animation (24 papers) and 3D Shape Modeling and Analysis (23 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (214 citations), Computer Vision and Pattern Recognition (643 citations) and Control and Systems Engineering (396 citations). Ken Anjyo has collaborated with scholars based in Japan, United States and New Zealand. Frequent co-authors include Ryozo Takeuchi, Munetoshi Unuma, John Lewis, Taehyun Rhee, Zhigang Deng, Jun Zhang, Frédéric Pighin, William Baxter, Makoto Okabe and Pascal Barla. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

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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