Makoto Iwayama

35 papers and 433 indexed citations i.

About

Makoto Iwayama is a scholar working on Artificial Intelligence, Management of Technology and Innovation and Information Systems. According to data from OpenAlex, Makoto Iwayama has authored 35 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Management of Technology and Innovation and 10 papers in Information Systems. Recurrent topics in Makoto Iwayama’s work include Intellectual Property and Patents (11 papers), Advanced Text Analysis Techniques (8 papers) and Web Data Mining and Analysis (8 papers). Makoto Iwayama is often cited by papers focused on Intellectual Property and Patents (11 papers), Advanced Text Analysis Techniques (8 papers) and Web Data Mining and Analysis (8 papers). Makoto Iwayama collaborates with scholars based in Japan and United Kingdom. Makoto Iwayama's co-authors include Atsushi Fujii, Noriko Kando, Takenobu Tokunaga, Akihiko Takano, Hidetsugu Nanba, Yuichi Ogawa, Hozumi Tanaka, Manabu Okumura, Yoshiki Niwa and Shingo Nishioka and has published in prestigious journals such as Information Processing & Management, Language Resources and Evaluation and ACM SIGIR Forum.

In The Last Decade

Co-authorship network of co-authors of Makoto Iwayama i

Fields of papers citing papers by Makoto Iwayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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).

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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2025