Jun Mitani

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

Impact in

Papers in

Jun Mitani

107 papers receiving 1.9k citations

Peers

Jun Mitani
Comparison fields: 5 of 74
  • Computer Graphics and Computer-Aided Design 598
  • Architecture 418
  • Human-Computer Interaction 300
  • Computational Mechanics 680
  • Computer Vision and Pattern Recognition 428
Replace Yuki Igarashi with:
Yuki Igarashi Japan
Peng Song Singapore
Emily Whiting United States
Ryan Schmidt Canada
Moritz Bächer United States
Nico Pietroni Italy
Manfred Lau United Kingdom
Shinjiro Sueda United States
Danny M. Kaufman United States
Karl D. D. Willis United States
Jun Mitani relative to Yuki Igarashi Japan Yuki Igarashi's profile →
Citations per field
00.5×1.5×1.8×
Yuki Igarashi · 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 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017255
2 2004218
3 2010149
4 201192
5 201185
6 200957
7 201057
8 201649
9 201244
10 201244
11 200242
12 201641
13 201036
14 199934
15 200431
16 201231
17 201330
18 201229
19 201128
20 201226

About Jun Mitani

Jun Mitani is a scholar working on Computer Graphics and Computer-Aided Design, Architecture, Computational Mechanics, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 120 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (62 papers), 3D Shape Modeling and Analysis (50 papers), Architecture and Computational Design (36 papers), Computational Geometry and Mesh Generation (20 papers), Interactive and Immersive Displays (13 papers), Advanced Materials and Mechanics (9 papers), Structural Analysis and Optimization (8 papers) and Advanced Numerical Analysis Techniques (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (598 citations), Architecture (418 citations), Human-Computer Interaction (300 citations), Computational Mechanics (680 citations) and Computer Vision and Pattern Recognition (428 citations). Jun Mitani has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Takeo Igarashi, Hiromasa Suzuki, Yoshihiro Kanamori, Yuki Endo, Manfred Lau, 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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