Takumi Maruyama
- Co-authors
- Kazuhide YamamotoJunko KanoVincent CoudercPhilippe LeprouxHideaki KanoMasayuki NoguchiShota NakamuraYuki Matsumoto
- Topics
- Natural Language Processing Techniques (4 papers)Text Readability and Simplification (4 papers)Topic Modeling (4 papers)
- Journals
- Language Resources and EvaluationOSA Continuum2022 IEEE International Solid- State Circuits Conference (ISSCC)
In The Last Decade
Takumi Maruyama
6 papers receiving 46 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 21
- Biophysics 21
- Analytical Chemistry 17
- Insect Science 8
- Molecular Biology 5
Countries citing papers authored by Takumi Maruyama
This map shows the geographic impact of Takumi Maruyama'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 Takumi Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takumi Maruyama more than expected).
Fields of papers citing papers by Takumi Maruyama
This network shows the impact of papers produced by Takumi Maruyama. 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 Takumi Maruyama. The network helps show where Takumi Maruyama may publish in the future.
Co-authorship network of co-authors of Takumi Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Takumi Maruyama. A scholar is included among the top collaborators of Takumi Maruyama 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 Takumi Maruyama. Takumi Maruyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 24 | |
| 6 | Simplified Corpus with Core Vocabulary. | 7 |
| 7 | 7 |
About Takumi Maruyama
Takumi Maruyama is a scholar working on Biophysics, Hardware and Architecture and Artificial Intelligence, having authored 7 papers that have together received 49 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Text Readability and Simplification (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Biophysics (21 citations), Analytical Chemistry (17 citations) and Artificial Intelligence (21 citations). Takumi Maruyama has collaborated with scholars based in Japan and France. Frequent co-authors include Kazuhide Yamamoto, Junko Kano, Vincent Couderc, Philippe Leproux, Hideaki Kano, Masayuki Noguchi, Shota Nakamura, Yuki Matsumoto, Hiroyuki Miyazaki and Daisuke Motooka. Their work appears in journals such as Language Resources and Evaluation, OSA Continuum and 2022 IEEE International Solid- State Circuits Conference (ISSCC).
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.