Jun Mitani

2.4k citations
116 papers · 1.9k · h-index 23

Impact in

Papers in

Jun Mitani

104 papers receiving 1.8k citations

Peers

Jun Mitani
Comparison fields: 5 of 92
  • Computer Graphics and Computer-Aided Design 588
  • Human-Computer Interaction 486
  • Architecture 104
  • Computer Vision and Pattern Recognition 861
  • Computational Mechanics 536
Replace Peng Song with:
Peng Song Singapore
Emily Whiting United States
Ryan Schmidt Canada
Bernhard Thomaszewski Switzerland
Nico Pietroni Italy
Moritz Bächer Switzerland
Manfred Lau United Kingdom
James McCann United States
Danny M. Kaufman United States
Shinjiro Sueda United States
Jun Mitani relative to Peng Song Singapore Peng Song's profile →
Citations per field
00.5×3.2×
Peng Song · 1×
Citations per year

Countries citing papers authored by Jun Mitani

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Mitani, 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 Jun Mitani Line = papers co-authored together Jun Mitani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017236
2 2004217
3 2010145
4 201190
5 201183
6 201056
7 200955
8 201648
9 201243
10 201242
11 200242
12 201637
13 201037
14 199934
15 200429
16 201229
17 201329
18 201228
19 201128
20 201125

About Jun Mitani

Jun Mitani is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Mechanical Engineering and Human-Computer Interaction, having authored 116 papers that have together received 1.9k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (39 papers), Computer Graphics and Visualization Techniques (36 papers), Advanced Materials and Mechanics (34 papers), Interactive and Immersive Displays (33 papers), Computational Geometry and Mesh Generation (17 papers), Architecture and Computational Design (16 papers), Advanced Vision and Imaging (14 papers) and Structural Analysis and Optimization (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (588 citations), Human-Computer Interaction (486 citations), Architecture (104 citations), Computer Vision and Pattern Recognition (861 citations) and Computational Mechanics (536 citations). Jun Mitani has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takeo Igarashi, Hiromasa Suzuki, Yoshihiro Kanamori, Manfred Lau, Yuki Endo, Greg Saul, Yuki Igarashi, Yukio Fukui, Fumihiko Kimura and Juncong Lin. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Journal of Computational Design and Engineering, IEEE Computer Graphics and Applications and Computational Visual Media.

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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