Keise Izuma
- Cognitive Neuroscience top 1%
- Social Psychology top 1%
- Experimental and Cognitive Psychology top 2%
- Sociology and Political Science top 5%
- Clinical Psychology top 5%
- Co-authors
- Norihiro SadatoDaisuke N. SaitoKenji MatsumotoKou MurayamaRalph AdolphsMadoka MatsumotoColin F. CamererKazuyuki Samejima
- Topics
- Neural and Behavioral Psychology Studies (19 papers)Psychology of Moral and Emotional Judgment (9 papers)Social and Intergroup Psychology (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Personality and Social PsychologyNeuron
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Keise Izuma
30 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cognitive Neuroscience 1.6k
- Social Psychology 857
- Experimental and Cognitive Psychology 562
- Sociology and Political Science 417
- Clinical Psychology 263
Countries citing papers authored by Keise Izuma
This map shows the geographic impact of Keise Izuma'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 Keise Izuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keise Izuma more than expected).
Fields of papers citing papers by Keise Izuma
This network shows the impact of papers produced by Keise Izuma. 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 Keise Izuma. The network helps show where Keise Izuma may publish in the future.
Co-authorship network of co-authors of Keise Izuma
This figure shows the co-authorship network connecting the top 25 collaborators of Keise Izuma. A scholar is included among the top collaborators of Keise Izuma 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 Keise Izuma. Keise Izuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 8 | |
| 5 | 16 | |
| 6 | 16 | |
| 7 | 13 | |
| 8 | 34 | |
| 9 | 39 | |
| 10 | 31 | |
| 11 | 25 | |
| 12 | 98 | |
| 13 | 80 | |
| 14 | 73 | |
| 15 | 150 | |
| 16 | 80 | |
| 17 | 85 | |
| 18 | 163 | |
| 19 | 65 | |
| 20 | Processing of Social and Monetary Rewards in the Human Striatumbreakdown → | 608 |
About Keise Izuma
Keise Izuma is a scholar working on General Decision Sciences, Cognitive Neuroscience and Applied Psychology, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (19 papers), Psychology of Moral and Emotional Judgment (9 papers) and Social and Intergroup Psychology (6 papers). The work is most often cited by research in General Decision Sciences (198 citations), Cognitive Neuroscience (1.6k citations) and Applied Psychology (240 citations). Keise Izuma has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Norihiro Sadato, Daisuke N. Saito, Kenji Matsumoto, Kou Murayama, Ralph Adolphs, Madoka Matsumoto, Colin F. Camerer, Kazuyuki Samejima, Hidehiko Okazawa and Hidetsugu Komeda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Neuron.
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.