Izumi Matsuda

About

Izumi Matsuda is a scholar working on Social Psychology, Artificial Intelligence and Clinical Psychology. According to data from OpenAlex, Izumi Matsuda has authored 26 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Social Psychology, 14 papers in Artificial Intelligence and 13 papers in Clinical Psychology. Recurrent topics in Izumi Matsuda’s work include Deception detection and forensic psychology (21 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (13 papers) and Adversarial Robustness in Machine Learning (10 papers). Izumi Matsuda is often cited by papers focused on Deception detection and forensic psychology (21 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (13 papers) and Adversarial Robustness in Machine Learning (10 papers). Izumi Matsuda collaborates with scholars based in Japan, United States and Belgium. Izumi Matsuda's co-authors include Hiroshi Nittono, Tokihiro Ogawa, Noriyoshi Takasawa, John J. B. Allen, Satoshi Mochizuki, Kazuo Shigemasu, Bruno Verschuère, Naoto Suzuki, Yusuke Shibuya and Takahiro Ogawa and has published in prestigious journals such as Psychophysiology, Neuroreport and Frontiers in Psychology.

In The Last Decade

Co-authorship network of co-authors of Izumi Matsuda i

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Fields of papers citing papers by Izumi Matsuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Izumi Matsuda

Since Specialization

Citations

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