Taiichi Yuasa

407 citations
24 papers · 237 indexed · h-index 7

Taiichi Yuasa

18 papers receiving 214 citations

Peers

Taiichi Yuasa
Comparison fields: 5 of 22
  • Hardware and Architecture 193
  • Computer Networks and Communications 140
  • Software 16
  • Artificial Intelligence 88
  • Information Systems 49
Replace Dieter Haban with:
Dieter Haban Germany
Jesse Fang United States
Erven Rohou France
Alex Garthwaite United States
Katherine Barabash Israel
Evan Rosser United States
Patrick Tullmann United States
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Taiichi Yuasa relative to Dieter Haban Germany Dieter Haban's profile →
Citations per field
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Citations per year

Countries citing papers authored by Taiichi Yuasa

Since Specialization
Citations

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

Fields of papers citing papers by Taiichi Yuasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside Taiichi Yuasa, 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 Taiichi Yuasa Line = papers co-authored together Taiichi Yuasa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20122
2 20123
3 20101
4 20101
5 200918
6 200941
7 20091
8 20082
9 20070
10
Effective utilization of existing C header files in other languages with different syntaxes
20062
11 20069
12
Language Extension by Rule-based Transformation for S-expression-based C Languages
20052
13 20030
14
Implementation of Multiple Threads by Using Nested Functions
20022
15 20002
16 19951
17
Design and implementation of Kyoto Common Lisp
19918
18 1990126
19 19856
20
System Supports for Modular Programming
19830

About Taiichi Yuasa

Taiichi Yuasa is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 24 papers that have together received 237 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Distributed and Parallel Computing Systems (9 papers), Logic, programming, and type systems (7 papers), Cloud Computing and Resource Management (4 papers), Embedded Systems Design Techniques (3 papers), Model-Driven Software Engineering Techniques (2 papers), Scheduling and Optimization Algorithms (2 papers) and Formal Methods in Verification (2 papers). The work is most often cited by research in Hardware and Architecture (193 citations), Computer Networks and Communications (140 citations) and Software (16 citations). Taiichi Yuasa has collaborated with scholars based in Japan. Frequent co-authors include Takayasu Ito, Hideya Iwasaki, Midori Sugaya, Tatsuo Nakajima and Takuya Katayama. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Systems and Software, IEEE Transactions on Software Engineering, Journal of information processing and Systems and Computers in Japan.

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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