Sho Takase

69 total papers · 699 total citations
31 papers, 314 citations indexed

About

Sho Takase is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sho Takase has authored 31 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sho Takase's work include Topic Modeling (27 papers), Natural Language Processing Techniques (25 papers) and Advanced Text Analysis Techniques (7 papers). Sho Takase is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (25 papers) and Advanced Text Analysis Techniques (7 papers). Sho Takase collaborates with scholars based in Japan and United States. Sho Takase's co-authors include Naoaki Okazaki, Jun Suzuki, Masaaki Nagata, Tsutomu Hirao, Shun Kiyono, Kentaro Inui, Atsushi Keyaki, Naoya Inoue, Makoto Morishita and Hidetaka Kamigaito and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, Language Resources and Evaluation and ACM Transactions on Asian and Low-Resource Language Information Processing.

In The Last Decade

Sho Takase

27 papers receiving 293 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sho Takase 285 52 29 12 8 31 314
Leshem Choshen 294 1.0× 41 0.8× 43 1.5× 9 0.8× 4 0.5× 30 329
Ramakanth Pasunuru 226 0.8× 68 1.3× 22 0.8× 13 1.1× 5 0.6× 22 262
Yulong Chen 227 0.8× 46 0.9× 24 0.8× 11 0.9× 12 1.5× 25 311
Zhenghao Liu 200 0.7× 39 0.8× 58 2.0× 10 0.8× 7 0.9× 29 236
Shizhe Diao 198 0.7× 74 1.4× 25 0.9× 13 1.1× 4 0.5× 23 265
Diganta Saha 307 1.1× 21 0.4× 28 1.0× 18 1.5× 4 0.5× 29 336
Qingyu Yin 214 0.8× 46 0.9× 41 1.4× 11 0.9× 2 0.3× 30 233
Zeyang Lei 313 1.1× 58 1.1× 41 1.4× 9 0.8× 7 0.9× 16 362
Leonhard Hennig 248 0.9× 26 0.5× 61 2.1× 19 1.6× 4 0.5× 33 288
Hongyang Zhang 175 0.6× 56 1.1× 12 0.4× 13 1.1× 14 1.8× 29 221

Countries citing papers authored by Sho Takase

Since Specialization
Citations

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

Fields of papers citing papers by Sho Takase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sho Takase

This figure shows the co-authorship network connecting the top 25 collaborators of Sho Takase. A scholar is included among the top collaborators of Sho Takase 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 Sho Takase. Sho Takase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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