Hideho Arakida

752 citations
20 papers · 559 · h-index 13

Impact in

Papers in

Hideho Arakida

20 papers receiving 516 citations

Peers

Hideho Arakida
Comparison fields: 5 of 21
  • Hardware and Architecture 268
  • Signal Processing 167
  • Computer Networks and Communications 189
  • Computer Vision and Pattern Recognition 142
  • Electrical and Electronic Engineering 309
Replace Toshinari Takayanagi with:
Toshinari Takayanagi Japan
Kostas Masselos Greece
Paul E. Landman United States
Minglun Gao China
A. van der Werf Netherlands
Uming Ko United States
Ronitt Mehra United States
Ching-Long Su United States
P.E.R. Lippens Netherlands
Nicolas Demassieux France
Hideho Arakida relative to Toshinari Takayanagi Japan Toshinari Takayanagi's profile →
Citations per field
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Toshinari Takayanagi · 1×
Citations per year

Countries citing papers authored by Hideho Arakida

Since Specialization
Citations

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

Fields of papers citing papers by Hideho Arakida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199884
2 200778
3 200073
4 200268
5 199841
6 200332
7 200230
8 200529
9 201022
10 200721
11 200518
12 200917
13 201013
14 20089
15 20027
16 20027
17 20094
18 20122
19 20092
20 20082

About Hideho Arakida

Hideho Arakida is a scholar working on Signal Processing, Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 20 papers that have together received 559 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (10 papers), Interconnection Networks and Systems (7 papers), Parallel Computing and Optimization Techniques (6 papers), Low-power high-performance VLSI design (6 papers), Advanced Data Compression Techniques (5 papers), VLSI and FPGA Design Techniques (4 papers), Advanced Data Storage Technologies (3 papers) and Embedded Systems Design Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (268 citations), Signal Processing (167 citations), Computer Networks and Communications (189 citations), Computer Vision and Pattern Recognition (142 citations) and Electrical and Electronic Engineering (309 citations). Hideho Arakida has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masafumi Takahashi, Toshihiro Terazawa, Mototsugu Hamada, Tadahiro Kuroda, Jacob Leverich, Amin Firoozshahian, Alex Solomatnikov, Christos Kozyrakis, Mark Horowitz and Takashi Ishikawa. Their work appears in journals such as IEEE Journal of Solid-State Circuits, ACM Transactions on Architecture and Code Optimization, ACM SIGARCH Computer Architecture News and Design, Automation, and Test in Europe.

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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