Countries citing papers authored by Kiyonori Ohtake
Since
Specialization
Citations
This map shows the geographic impact of Kiyonori Ohtake'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 Kiyonori Ohtake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyonori Ohtake more than expected).
This network shows the impact of papers produced by Kiyonori Ohtake. 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 Kiyonori Ohtake. The network helps show where Kiyonori Ohtake may publish in the future.
Co-authorship network of co-authors of Kiyonori Ohtake
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyonori Ohtake.
A scholar is included among the top collaborators of Kiyonori Ohtake 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 Kiyonori Ohtake. Kiyonori Ohtake is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tanaka, Masahiro, Kiyonori Ohtake, Jong–Hoon Oh, et al.. (2016). WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data.. International Conference on Computational Linguistics. 263–267.17 indexed citations
3.
Kruengkrai, Canasai, Kiyonori Ohtake, Chikara Hashimoto, et al.. (2015). Recognizing Complex Negation on Twitter. Waseda University Repository (Waseda University). 544–552.1 indexed citations
4.
Ohtake, Kiyonori, et al.. (2013). NICT Disaster Information Analysis System. International Joint Conference on Natural Language Processing. 29–32.6 indexed citations
5.
Oh, Jong–Hoon, et al.. (2013). Why-Question Answering using Intra- and Inter-Sentential Causal Relations. Meeting of the Association for Computational Linguistics. 1733–1743.50 indexed citations
6.
Tanaka, Masahiro, et al.. (2013). WISDOM2013: A Large-scale Web Information Analysis System. International Joint Conference on Natural Language Processing. 45–48.5 indexed citations
7.
Varga, István, Kentaro Torisawa, Chikara Hashimoto, et al.. (2013). Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster. Meeting of the Association for Computational Linguistics. 1619–1629.63 indexed citations
Varga, István, Kiyonori Ohtake, Kentaro Torisawa, et al.. (2011). Similarity Based Language Model Construction for Voice Activated Open-Domain Question Answering. International Joint Conference on Natural Language Processing. 536–544.5 indexed citations
Ohtake, Kiyonori, Teruhisa Misu, Chiori Hori, Hideki Kashioka, & Satoshi Nakamura. (2010). Dialogue Acts Annotation for NICT Kyoto Tour Dialogue Corpus to Construct Statistical Dialogue Systems.. Language Resources and Evaluation.4 indexed citations
12.
Misu, Teruhisa, Komei Sugiura, Kiyonori Ohtake, et al.. (2010). Modeling Spoken Decision Making Dialogue and Optimization of its Dialogue Strategy. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 221–224.11 indexed citations
Ohtake, Kiyonori. (2008). Unsupervised Approach for Dialogue Act Classification. Pacific Asia Conference on Language, Information, and Computation. 445–451.1 indexed citations
Ohtake, Kiyonori, et al.. (2001). Yet Another Summarization System with Two Modules using Empirical Knowledge.. NTCIR.4 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.