Setsuo Arikawa

2.9k citations
68 papers · 786 · h-index 14

Impact in

Papers in

Setsuo Arikawa

63 papers receiving 720 citations

Peers

Setsuo Arikawa
Comparison fields: 5 of 50
  • Hardware and Architecture 127
  • Computational Theory and Mathematics 285
  • Artificial Intelligence 546
  • Signal Processing 168
  • Information Systems 323
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Philip Bille Denmark
Rahul Shah United States
Rossano Venturini Italy
Adam L. Buchsbaum United States
Rudolf Bayer Germany
Paul F. Dietz United States
Martin Dietzfelbinger Germany
Juha Kärkkäinen Finland
Joel Seiferas United States
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Citations per field
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Citations per year

Countries citing papers authored by Setsuo Arikawa

Since Specialization
Citations

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

Fields of papers citing papers by Setsuo Arikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002189
2
Efficient Substructure Discovery from Large Semi-structed Data
2001105
3 200339
4 199235
5 200235
6
Knowledge Acquisition from Amino Acid Sequences by Machine Learning System BONSAI
199234
7 200225
8 200324
9 200421
10
Efficient Substructure Discovery from Large Semi-Structured Data
200118
11 199216
12 200316
13 199515
14 200014
15 197013
16
Speeding Up String Pattern Matching by Text Compression: The Dawn of a New Era
200110
17
Extracting Partial Structures from HTML Documents
200110
18
SIGMA: A Text Database Management System
198810
19 19899
20 20029

About Setsuo Arikawa

Setsuo Arikawa is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Hardware and Architecture, Molecular Biology and Information Systems, having authored 68 papers that have together received 786 indexed citations. Recurring topics across this work include Algorithms and Data Compression (37 papers), semigroups and automata theory (20 papers), Machine Learning and Algorithms (16 papers), Natural Language Processing Techniques (14 papers), Network Packet Processing and Optimization (12 papers), Data Mining Algorithms and Applications (8 papers), Machine Learning in Bioinformatics (6 papers) and Computability, Logic, AI Algorithms (5 papers). The work is most often cited by research in Hardware and Architecture (127 citations), Computational Theory and Mathematics (285 citations), Artificial Intelligence (546 citations), Signal Processing (168 citations) and Information Systems (323 citations). Setsuo Arikawa has collaborated with scholars based in Japan, United States and Chile. Frequent co-authors include Hiroki Arimura, Ayumi Shinohara, Shinji Kawasoe, Hiroshi Sakamoto, Tatsuya Asai, Kenji Abe, Masayuki Takeda, Takeshi Shinohara, Takuya Kida and Akihiro Yamamoto. Their work appears in journals such as Theoretical Computer Science, Proceedings Genome Informatics Workshop/Genome informatics, Discrete Applied Mathematics, New Generation Computing and Lecture notes in computer science.

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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