Tadashi Nomoto
- Artificial Intelligence top 5%
- Information Systems top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics
- Co-authors
- Yūji MatsumotoAdvaith SiddharthanAli HürriyetoğluNoriko KandoBenjamin J. RadfordErdem YörükTommaso CaselliNelleke Oostdijk
- Topics
- Topic Modeling (28 papers)Natural Language Processing Techniques (24 papers)Advanced Text Analysis Techniques (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaInformation Processing & ManagementJournal of Visual Languages & Computing
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tadashi Nomoto
29 papers receiving 335 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 357
- Information Systems 70
- Molecular Biology 23
- Computer Vision and Pattern Recognition 12
- Statistical and Nonlinear Physics 9
Countries citing papers authored by Tadashi Nomoto
This map shows the geographic impact of Tadashi Nomoto'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 Tadashi Nomoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Nomoto more than expected).
Fields of papers citing papers by Tadashi Nomoto
This network shows the impact of papers produced by Tadashi Nomoto. 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 Tadashi Nomoto. The network helps show where Tadashi Nomoto may publish in the future.
Co-authorship network of co-authors of Tadashi Nomoto
This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Nomoto. A scholar is included among the top collaborators of Tadashi Nomoto 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 Tadashi Nomoto. Tadashi Nomoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | Lexico-syntactic text simplification and compression with typed dependencies | 19 |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | A Generic Sentence Trimmer with CRFs | 15 |
| 13 | 33 | |
| 14 | 112 | |
| 15 | 4 | |
| 16 | Comparing the Minimum Description Length Principle and Boosting in the Automatic Analysis of Discourse | 3 |
| 17 | Learning Discourse Relations with Active Data Selection | 3 |
| 18 | Discourse Parsing: A Decision Tree Approach | 5 |
| 19 | Data Reliability and Its Effects on Automatic Abstracting | 5 |
| 20 | Exploiting Text Structure for Topic Identification | 3 |
About Tadashi Nomoto
Tadashi Nomoto is a scholar working on Artificial Intelligence, Information Systems and Communication, having authored 32 papers that have together received 378 indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Natural Language Processing Techniques (24 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (357 citations), Information Systems (70 citations) and Communication (6 citations). Tadashi Nomoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yūji Matsumoto, Advaith Siddharthan, Ali Hürriyetoğlu, Noriko Kando, Benjamin J. Radford, Erdem Yörük, Tommaso Caselli and Nelleke Oostdijk. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Processing & Management and Journal of Visual Languages & Computing.
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.