Izumi Matsuda

695 citations
40 papers · 422 indexed · h-index 13
Topics
Deception detection and forensic psychology (33 papers)Psychopathy, Forensic Psychiatry, Sexual Offending (15 papers)Adversarial Robustness in Machine Learning (14 papers)

In The Last Decade

Izumi Matsuda

36 papers receiving 385 citations

Peers

Izumi Matsuda
Comparison fields: 5 of 47
  • Social Psychology 338
  • Cognitive Neuroscience 224
  • Artificial Intelligence 180
  • Clinical Psychology 133
  • Experimental and Cognitive Psychology 44
Replace Tokihiro Ogawa with:
Tokihiro Ogawa Japan
Nathalie klein Selle Israel
Victoria Tepe Nasman United States
Ryan J. Fitzgerald Canada
John A. Podlesny United States
Min Chang United States
George Visu‐Petra Romania
Judith Peth Germany
Simone Varrasi Italy
Evelyne Debey Netherlands
Izumi Matsuda relative to Tokihiro Ogawa Japan Tokihiro Ogawa's profile →
Citations per field
00.5×1.5×2.1×
Tokihiro Ogawa · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Izumi Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Izumi Matsuda. A scholar is included among the top collaborators of Izumi Matsuda 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 Izumi Matsuda. Izumi Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 5
5 8
6 3
7 3
8 8
9 39
10 8
11 2
12 34
13 29
14 19
15 1
16 9
17 52
18 13
19 21
20 22

About Izumi Matsuda

Izumi Matsuda is a scholar working on Social Psychology, Clinical Psychology and Artificial Intelligence, having authored 40 papers that have together received 422 indexed citations. Recurring topics across this work include Deception detection and forensic psychology (33 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (15 papers) and Adversarial Robustness in Machine Learning (14 papers). The work is most often cited by research in Social Psychology (338 citations), Cognitive Neuroscience (224 citations) and Clinical Psychology (133 citations). Izumi Matsuda has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Hiroshi Nittono, Tokihiro Ogawa, Noriyoshi Takasawa, John J. B. Allen, Kazuo Shigemasu, Satoshi Mochizuki, Bruno Verschuère, Yuichiro Nagano, Yukihiro Sawada and Gohichi Tanaka. Their work appears in journals such as Psychophysiology, Frontiers in Psychology and Journal of Environmental Psychology.

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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