Masao Iri

58 papers receiving 1.7k citations

Peers

Masao Iri
Comparison fields: 5 of 115
  • Computational Theory and Mathematics 485
  • Computer Graphics and Computer-Aided Design 443
  • Control and Systems Engineering 421
  • Computational Mechanics 275
  • Computer Vision and Pattern Recognition 252
Replace Komei Fukuda with:
Komei Fukuda Switzerland
Leonid Khachiyan United States
Stephen A. Vavasis United States
Marco Locatelli Italy
Victor Klee United States
Narendra Karmarkar United States
B. K. Natarajan United States
R. J. Duffin United States
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Masao Iri relative to Komei Fukuda Switzerland Komei Fukuda's profile →
Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Masao Iri

Since Specialization
Citations

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

Fields of papers citing papers by Masao Iri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Iri

This figure shows the co-authorship network connecting the top 25 collaborators of Masao Iri. A scholar is included among the top collaborators of Masao Iri 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 Masao Iri. Masao Iri 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 7
2
Estimates of Rounding Errors with Fast Automatic Differentiation and Interval Analysis
4
3
GUARANTEED ACCURACY AND FAST AUTOMATIC DIFFERENTIATION
0
4
Geometrical/geographical optimization and fast automatic differentiation
1
5
Norms, rounding errors, partial derivatives and fast automatic differentiation
11
6
A solid modelling system free from topological inconsistency
66
7 12
8 18
9 1
10 67
11 1
12 27
13 0
14
An Overflow/Underflow-Free Floating-Point Representation of Numbers.
19
15 6
16 1
17 18
18
The Graphical Techniques Used for a Chemical Process Simulator "JUSE GIFS".
10
19 9
20 3

About Masao Iri

Masao Iri is a scholar working on Computer Graphics and Computer-Aided Design, Numerical Analysis and Computational Theory and Mathematics, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (13 papers), Advanced Numerical Analysis Techniques (7 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (443 citations), Numerical Analysis (224 citations) and Computational Theory and Mathematics (485 citations). Masao Iri has collaborated with scholars based in Japan, Germany and Hungary. Frequent co-authors include Kazuo Murota, Hiroshi Imai, Kōkichi Sugihara, Eiji O’Shima, H. Matsuyama, Kunio Tanabe, Hiroko Imai, Sigeiti Moriguti, Satoru Fujishige and Atsuo Suzuki. Their work appears in journals such as Proceedings of the IEEE, Annals of the New York Academy of Sciences and Mathematics of Computation.

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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