Satoshi Sekine
About
In The Last Decade
Satoshi Sekine
101 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 3.7k
- Information Systems 958
- Management Science and Operations Research 517
- Molecular Biology 400
- Computer Vision and Pattern Recognition 224
Countries citing papers authored by Satoshi Sekine
This map shows the geographic impact of Satoshi Sekine'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 Satoshi Sekine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Sekine more than expected).
Fields of papers citing papers by Satoshi Sekine
This network shows the impact of papers produced by Satoshi Sekine. 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 Satoshi Sekine. The network helps show where Satoshi Sekine may publish in the future.
Co-authorship network of co-authors of Satoshi Sekine
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Sekine. A scholar is included among the top collaborators of Satoshi Sekine 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 Satoshi Sekine. Satoshi Sekine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | Name Variation in Community Question Answering Systems | 2 |
| 3 | Accurate Word Segmentation using Transliteration and Language Model Projection | 1 |
| 4 | phloat : Integrated Writing Environment for ESL learners | 0 |
| 5 | Latent Semantic Transliteration using Dirichlet Mixture | 4 |
| 6 | SurfShop: combing a product ontology with topic model results for online window-shopping. | 3 |
| 7 | Semi-supervised Relation Extraction with Large-scale Word Clustering | 75 |
| 8 | Ngram Search Engine with Patterns Combining Token, POS, Chunk and NE Information. | 3 |
| 9 | Sentiment Analysis Based on Probabilistic Models Using Inter-Sentence Information | 9 |
| 10 | A Linguistic Knowledge Discovery Tool: Very Large Ngram Database Search with Arbitrary Wildcards | 8 |
| 11 | Extended Named Entity Ontology with Attribute Information | 25 |
| 12 | Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing | 53 |
| 13 | 1 | |
| 14 | Definition, Dictionaries and Tagger for Extended Named Entity Hierarchy | 87 |
| 15 | NYU/CRL QA System, QAC Question Analysis and CRL QA Data. | 3 |
| 16 | The Unknown Word Problem: a Morphological Analysis of Japanese Using Maximum Entropy Aided by a Dictionary. | 38 |
| 17 | IREX: IR & IE Evaluation Project in Japanese | 28 |
| 18 | A treebank of Spanish and its application to parsing | 17 |
| 19 | Dependency Model using Posterior Context | 14 |
| 20 | Term Recognition by Using Different Field Corpora. | 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.