Tetsuya Nasukawa
- Artificial Intelligence top 0.5%
- Information Systems top 1%
- Sociology and Political Science top 10%
- Statistical and Nonlinear Physics top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Jeonghee YiHiroshi KanayamaRăzvan BunescuW. NiblackTohru NaganoHideo WatanabeHironori TakeuchiL. Venkata Subramaniam
- Topics
- Advanced Text Analysis Techniques (17 papers)Topic Modeling (16 papers)Natural Language Processing Techniques (14 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Tetsuya Nasukawa
34 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 1.7k
- Information Systems 479
- Sociology and Political Science 237
- Statistical and Nonlinear Physics 114
- Management Science and Operations Research 96
Countries citing papers authored by Tetsuya Nasukawa
This map shows the geographic impact of Tetsuya Nasukawa'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 Tetsuya Nasukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Nasukawa more than expected).
Fields of papers citing papers by Tetsuya Nasukawa
This network shows the impact of papers produced by Tetsuya Nasukawa. 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 Tetsuya Nasukawa. The network helps show where Tetsuya Nasukawa may publish in the future.
Co-authorship network of co-authors of Tetsuya Nasukawa
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Nasukawa. A scholar is included among the top collaborators of Tetsuya Nasukawa 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 Tetsuya Nasukawa. Tetsuya Nasukawa 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | Personality Estimation from Japanese Text. | 3 |
| 6 | 22 | |
| 7 | 10 | |
| 8 | Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs | 11 |
| 9 | 2 | |
| 10 | 4 | |
| 11 | Adding sentence boundaries to conversational speech transcriptions using noisily labelled examples | 7 |
| 12 | Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers | 14 |
| 13 | 258 | |
| 14 | Acquisition of Sentiment Lexicon by Using Context Coherence | 3 |
| 15 | 463 | |
| 16 | 101 | |
| 17 | 39 | |
| 18 | Information Extraction for Text Mining | 2 |
| 19 | Discourse as a knowledge resource for sentence disambiguation | 1 |
| 20 | 9 |
About Tetsuya Nasukawa
Tetsuya Nasukawa is a scholar working on Artificial Intelligence, Communication and Information Systems, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (17 papers), Topic Modeling (16 papers) and Natural Language Processing Techniques (14 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Information Systems (479 citations) and Statistical and Nonlinear Physics (114 citations). Tetsuya Nasukawa has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Jeonghee Yi, Hiroshi Kanayama, Răzvan Bunescu, W. Niblack, Tohru Nagano, Hideo Watanabe, Hironori Takeuchi, L. Venkata Subramaniam, Shourya Roy and Akiko Murakami. Their work appears in journals such as Information Sciences, IBM Journal of Research and Development and IBM Systems Journal.
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.