Ryohei Orihara

564 total citations
45 papers, 225 citations indexed

About

Ryohei Orihara is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ryohei Orihara has authored 45 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ryohei Orihara's work include Data Mining Algorithms and Applications (7 papers), Advanced Text Analysis Techniques (6 papers) and Rough Sets and Fuzzy Logic (6 papers). Ryohei Orihara is often cited by papers focused on Data Mining Algorithms and Applications (7 papers), Advanced Text Analysis Techniques (6 papers) and Rough Sets and Fuzzy Logic (6 papers). Ryohei Orihara collaborates with scholars based in Japan, South Korea and Estonia. Ryohei Orihara's co-authors include Yuichi Sei, Akihiko Ohsuga, Kentaro Takagi, Yasuyuki Tahara, Masayuki Okamoto, S. Suzuki, Koichiro Iwata, Toshio Hayashi, Tomoko Murakami and Nobukazu Yoshioka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computerized Medical Imaging and Graphics and IEEE Transactions on Semiconductor Manufacturing.

In The Last Decade

Ryohei Orihara

36 papers receiving 204 citations

Peers

Ryohei Orihara
Comparison fields: 5 of 69
  • Artificial Intelligence 89
  • Information Systems 68
  • Industrial and Manufacturing Engineering 51
  • Computer Vision and Pattern Recognition 36
  • Electrical and Electronic Engineering 27
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Siddhant Jain India
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Hoda El-Sayed United States
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Arif Jamal Malik Pakistan
S. Venkatesan India
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Citations per field, relative to Ryohei Orihara
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Citations per year, relative to Ryohei Orihara
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Countries citing papers authored by Ryohei Orihara

Since Specialization
Citations

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

Fields of papers citing papers by Ryohei Orihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryohei Orihara

This figure shows the co-authorship network connecting the top 25 collaborators of Ryohei Orihara. A scholar is included among the top collaborators of Ryohei Orihara 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 Ryohei Orihara. Ryohei Orihara 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
# Work Indexed citations
1 0
2 0
3 1
4 0
5
Proposal of a News Article Comments Generation Model for Early Automatic Detection of Fake News
0
6 20
7 1
8 20
9 1
10 2
11 2
12 5
13 0
14 1
15 3
16 2
17 3
18 5
19 3
20 3

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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