Countries citing papers authored by Makoto Iwayama
Since
Specialization
Citations
This map shows the geographic impact of Makoto Iwayama'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 Makoto Iwayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Iwayama more than expected).
This network shows the impact of papers produced by Makoto Iwayama. 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 Makoto Iwayama. The network helps show where Makoto Iwayama may publish in the future.
Co-authorship network of co-authors of Makoto Iwayama
This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Iwayama.
A scholar is included among the top collaborators of Makoto Iwayama 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 Makoto Iwayama. Makoto Iwayama is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tong, Bin, et al.. (2015). Information Retrieval Boosted by Category for Troubleshooting Search System.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 28–32.1 indexed citations
3.
Nanba, Hidetsugu, et al.. (2010). Overview of the Patent Mining Task at the NTCIR-8 Workshop. NTCIR. 293–302.38 indexed citations
4.
Sato, Yusuke & Makoto Iwayama. (2010). Experiments for NTCIR-8 Technical Trend Map Creation Subtask at Hitachi. NTCIR. 359–363.2 indexed citations
5.
Iwayama, Makoto, et al.. (2008). NTCIR-7 Patent Mining Experiments at Hitachi.. NTCIR.5 indexed citations
6.
Fujii, Atsushi, Makoto Iwayama, & Noriko Kando. (2007). Overview of the Patent Retrieval Task at the NTCIR-6 Workshop. NTCIR.45 indexed citations
7.
Fujii, Atsushi, Makoto Iwayama, & Noriko Kando. (2006). Test Collections for Patent Retrieval and Patent Classification in the Fifth NTCIR Workshop. Language Resources and Evaluation. 671–674.10 indexed citations
8.
Ogawa, Yuichi, et al.. (2005). NTCIR-5 Patent Retrieval Experiments at Hitachi. NTCIR.3 indexed citations
9.
Iwayama, Makoto, Atsushi Fujii, & Noriko Kando. (2005). Overview of Classification Subtask at NTCIR-5 Patent Retrieval Task.. NTCIR.27 indexed citations
10.
Fujii, Atsushi, Makoto Iwayama, & Noriko Kando. (2004). Overview of Patent Retrieval Task at NTCIR-4. NTCIR.33 indexed citations
11.
Okumura, Manabu, et al.. (2004). Can Claim Analysis Contribute toward Patent Map Generation. NTCIR.
Fujii, Atsushi, Makoto Iwayama, Junichi Fukumoto, et al.. (2004). Working notes of the fourth NTCIR workshop meeting.11 indexed citations
14.
Iwayama, Makoto, Atsushi Fujii, Noriko Kando, & Akihiko Takano. (2002). Overview of Patent Retrieval Task at NTCIR-3.. NTCIR.9 indexed citations
15.
Okumura, Manabu, et al.. (2002). Rhetorical Structure Analysis of Japanese Patent Claims using Cue Phrases. NTCIR.22 indexed citations
16.
Takano, Akihiko, et al.. (2001). Associative information access using DualNAVI.. 771–772.1 indexed citations
17.
Tokunaga, Takenobu, Makoto Iwayama, & Hozumi Tanaka. (1995). Automatic thesaurus construction based on grammatical relations. International Joint Conference on Artificial Intelligence. 2. 1308–1313.28 indexed citations
18.
Iwayama, Makoto & Takenobu Tokunaga. (1995). Hierarchical Bayesian clustering for automatic text classification. International Joint Conference on Artificial Intelligence. 1322–1327.38 indexed citations
Iwayama, Makoto, Takenobu Tokunaga, & Hozumi Tanaka. (1990). A method of calculating the measure of salience in understanding metaphors. National Conference on Artificial Intelligence. 298–303.15 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.