Jack Muramatsu

3 papers and 246 indexed citations i.

About

Jack Muramatsu is a scholar working on Information Systems, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Jack Muramatsu has authored 3 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 1 paper in Sociology and Political Science and 1 paper in Artificial Intelligence. Recurrent topics in Jack Muramatsu’s work include Team Dynamics and Performance (1 paper), Web Data Mining and Analysis (1 paper) and Data Mining Algorithms and Applications (1 paper). Jack Muramatsu is often cited by papers focused on Team Dynamics and Performance (1 paper), Web Data Mining and Analysis (1 paper) and Data Mining Algorithms and Applications (1 paper). Jack Muramatsu collaborates with scholars based in United States. Jack Muramatsu's co-authors include Michael J. Pazzani, Daniel Billsus, Mark S. Ackerman, Scott Gaffney, P Yap, Brian Starr and Dong Joon Kim and has published in prestigious journals such as AI Magazine, Computer Supported Cooperative Work (CSCW) and National Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Jack Muramatsu i

Fields of papers citing papers by Jack Muramatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jack Muramatsu

Since Specialization
Citations

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