Keisuke Sakaguchi

2.3k total citations
35 papers, 1.0k citations indexed

About

Keisuke Sakaguchi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Keisuke Sakaguchi has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Cognitive Neuroscience. Recurrent topics in Keisuke Sakaguchi's work include Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Text Readability and Simplification (12 papers). Keisuke Sakaguchi is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Text Readability and Simplification (12 papers). Keisuke Sakaguchi collaborates with scholars based in United States, Japan and Slovakia. Keisuke Sakaguchi's co-authors include Yejin Choi, Ronan Le Bras, Chandra Bhagavatula, Joel Tetreault, Courtney Napoles, Matt Post, Benjamin Van Durme, Mamoru Komachi, Nitin Madnani and Michael Heilman and has published in prestigious journals such as Communications of the ACM, Journal of Biomedical Materials Research and Nature Machine Intelligence.

In The Last Decade

Keisuke Sakaguchi

32 papers receiving 948 citations

Peers

Keisuke Sakaguchi
Stella Biderman United States
Chandra Bhagavatula United States
Alisa Liu United States
Canwen Xu United States
Illia Polosukhin United States
Teven Le Scao United States
Todor Mihaylov Germany
Jennimaria Palomaki United States
Libo Qin China
Victor Sanh United States
Stella Biderman United States
Keisuke Sakaguchi
Citations per year, relative to Keisuke Sakaguchi Keisuke Sakaguchi (= 1×) peers Stella Biderman

Countries citing papers authored by Keisuke Sakaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Sakaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Sakaguchi

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

All Works

20 of 20 papers shown
1.
Jiang, Liwei, Jena D. Hwang, Chandra Bhagavatula, et al.. (2025). Investigating machine moral judgement through the Delphi experiment. Nature Machine Intelligence. 7(1). 145–160. 5 indexed citations
2.
Sakaguchi, Keisuke, Masayuki Miyazaki, Yuichi Tachibana, Akihiro Ueda, & Tetsuro Akashi. (2024). A case of chemotherapy efficacy with atezolizumab plus bevacizumab dose reduction for hepatocellular carcinoma against nasal hemorrhage as bevacizumab-related adverse event. Kanzo. 65(1). 31–36.
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Kuribayashi, Tatsuki, et al.. (2023). Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?. 1351–1362. 3 indexed citations
6.
Kuribayashi, Tatsuki, et al.. (2023). Empirical Investigation of Neural Symbolic Reasoning Strategies. 1154–1162. 1 indexed citations
7.
Sakaguchi, Keisuke, et al.. (2023). ELQA: A Corpus of Metalinguistic Questions and Answers about English. 2031–2047. 1 indexed citations
8.
Bhagavatula, Chandra, Jena D. Hwang, Doug Downey, et al.. (2023). I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. 9614–9630. 11 indexed citations
9.
Sakaguchi, Keisuke, Chandra Bhagavatula, Ronan Le Bras, et al.. (2021). proScript: Partially Ordered Scripts Generation. Empirical Methods in Natural Language Processing. 2138–2149. 10 indexed citations
10.
Tandon, Niket, Keisuke Sakaguchi, Bhavana Dalvi, et al.. (2020). A Dataset for Tracking Entities in Open Domain Procedural Text. 6408–6417. 22 indexed citations
11.
Tandon, Niket, Bhavana Dalvi, Keisuke Sakaguchi, Peter E. Clark, & Antoine Bosselut. (2019). WIQA: A dataset for “What if...” reasoning over procedural text. 6075–6084. 18 indexed citations
12.
Sakaguchi, Keisuke & Benjamin Van Durme. (2018). Efficient Online Scalar Annotation with Bounded Support. 208–218. 20 indexed citations
13.
Napoles, Courtney, Keisuke Sakaguchi, & Joel Tetreault. (2017). JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction. 229–234. 113 indexed citations
14.
Sakaguchi, Keisuke, Matt Post, & Benjamin Van Durme. (2017). Error-repair Dependency Parsing for Ungrammatical Texts. 189–195. 6 indexed citations
15.
Napoles, Courtney, Keisuke Sakaguchi, Matt Post, & Joel Tetreault. (2015). Ground Truth for Grammaticality Correction Metrics. 588–593. 100 indexed citations
16.
Mizumoto, Tomoya, et al.. (2013). NAIST at the NLI 2013 Shared Task. 134–139. 6 indexed citations
17.
Sakaguchi, Keisuke, et al.. (2013). NAIST at 2013 CoNLL Grammatical Error Correction Shared Task. 26–33. 18 indexed citations
18.
Shigeto, Yutaro, et al.. (2013). Construction of English MWE Dictionary and its Application to POS Tagging. North American Chapter of the Association for Computational Linguistics. 139–144. 7 indexed citations
19.
Sakaguchi, Keisuke, Yuki Arase, & Mamoru Komachi. (2013). Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners. Meeting of the Association for Computational Linguistics. 238–242. 37 indexed citations
20.
Sakaguchi, Keisuke, et al.. (2012). NAIST at the HOO 2012 Shared Task. North American Chapter of the Association for Computational Linguistics. 281–288. 6 indexed citations

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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