Countries citing papers authored by Daichi Mochihashi
Since
Specialization
Citations
This map shows the geographic impact of Daichi Mochihashi'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 Daichi Mochihashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daichi Mochihashi more than expected).
Fields of papers citing papers by Daichi Mochihashi
This network shows the impact of papers produced by Daichi Mochihashi. 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 Daichi Mochihashi. The network helps show where Daichi Mochihashi may publish in the future.
Co-authorship network of co-authors of Daichi Mochihashi
This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Mochihashi.
A scholar is included among the top collaborators of Daichi Mochihashi 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 Daichi Mochihashi. Daichi Mochihashi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kajiwara, Tomoyuki, Mamoru Komachi, & Daichi Mochihashi. (2017). MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting. International Joint Conference on Natural Language Processing. 1. 80–89.1 indexed citations
Yoshii, Kazuyoshi, Ryota Tomioka, Daichi Mochihashi, & Masataka Goto. (2013). Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals. International Conference on Machine Learning. 576–584.30 indexed citations
12.
Mochihashi, Daichi, et al.. (2012). Predicting Word Fixations in Text with a CRF Model for Capturing General Reading Strategies among Readers. 55–70.8 indexed citations
Iwata, Tomoharu, Daichi Mochihashi, & Hiroshi Sawada. (2010). Learning Common Grammar from Multilingual Corpus. Meeting of the Association for Computational Linguistics. 184–188.6 indexed citations
15.
Mochihashi, Daichi & Eiichiro Sumita. (2007). The Infinite Markov Model. Neural Information Processing Systems. 20. 1017–1024.19 indexed citations
16.
Mochihashi, Daichi. (2006). Bayesian approaches in Natural Language Processing. IEICE Technical Report; IEICE Tech. Rep.. 106(279). 25–30.2 indexed citations
17.
Zhang, Ruiqiang, Hirofumi Yamamoto, Michael Paul, et al.. (2006). The niCT-ATR statistical machine translation system for the IWSLT 2006 evaluation.. IWSLT. 83–90.13 indexed citations
18.
Mochihashi, Daichi & Yūji Matsumoto. (2005). Context as Filtering. Neural Information Processing Systems. 18. 907–914.6 indexed citations
19.
Mochihashi, Daichi, Genichiro Kikui, & Kenji Kita. (2004). Learning Nonstructural Distance Metric by Minimum Cluster Distortion.. Empirical Methods in Natural Language Processing. 341–348.8 indexed citations
20.
Mochihashi, Daichi & Yūji Matsumoto. (2002). Probabilistic Representation of Meanings. IPSJ SIG Notes. 2002(4). 77–84.3 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.