Kei Majima

1.1k total citations
27 papers, 570 citations indexed

About

Kei Majima is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kei Majima has authored 27 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Kei Majima's work include Neural dynamics and brain function (18 papers), Face Recognition and Perception (10 papers) and Functional Brain Connectivity Studies (6 papers). Kei Majima is often cited by papers focused on Neural dynamics and brain function (18 papers), Face Recognition and Perception (10 papers) and Functional Brain Connectivity Studies (6 papers). Kei Majima collaborates with scholars based in Japan, United States and Australia. Kei Majima's co-authors include Yukiyasu Kamitani, Tomoyasu Horikawa, Guohua Shen, Isao Hasegawa, Kshitij Dwivedi, Hirohito Sawahata, Takafumi Suzuki, Jeffrey D. Wolt, Keisuke Kawasaki and Takeshi Matsuo and has published in prestigious journals such as Nature Communications, NeuroImage and Science Advances.

In The Last Decade

Kei Majima

26 papers receiving 561 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kei Majima Japan 11 391 127 114 57 54 27 570
Vincent J. Dercksen Germany 11 327 0.8× 294 2.3× 41 0.4× 94 1.6× 27 0.5× 15 526
Jay Hegdé United States 15 790 2.0× 160 1.3× 174 1.5× 33 0.6× 61 1.1× 41 931
Niru Maheswaranathan United States 10 372 1.0× 243 1.9× 46 0.4× 18 0.3× 91 1.7× 17 566
James Gaska United States 11 729 1.9× 251 2.0× 63 0.6× 41 0.7× 25 0.5× 28 816
J.-M. Hupe France 4 948 2.4× 261 2.1× 81 0.7× 21 0.4× 31 0.6× 6 1.0k
Ethan M. Meyers United States 13 1.1k 2.7× 126 1.0× 258 2.3× 18 0.3× 92 1.7× 20 1.3k
S. P. Arun India 16 614 1.6× 110 0.9× 149 1.3× 8 0.1× 54 1.0× 50 762
Yusuke Morito Japan 7 573 1.5× 31 0.2× 80 0.7× 37 0.6× 52 1.0× 10 714
Martin Schrimpf United States 7 538 1.4× 31 0.2× 124 1.1× 39 0.7× 200 3.7× 15 721
Rishi Rajalingham United States 10 339 0.9× 64 0.5× 118 1.0× 34 0.6× 78 1.4× 15 492

Countries citing papers authored by Kei Majima

Since Specialization
Citations

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

Fields of papers citing papers by Kei Majima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Majima

This figure shows the co-authorship network connecting the top 25 collaborators of Kei Majima. A scholar is included among the top collaborators of Kei Majima 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 Kei Majima. Kei Majima 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
1.
Majima, Kei, et al.. (2025). Spurious reconstruction from brain activity. Neural Networks. 190. 107515–107515. 4 indexed citations
2.
Fukuma, Ryohei, Kei Majima, Yoshinobu Kawahara, et al.. (2024). Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition. Communications Biology. 7(1). 595–595. 1 indexed citations
3.
Kambe, Yuki, Kei Majima, Makoto Ohtake, et al.. (2024). Functional diversity of dopamine axons in prefrontal cortex during classical conditioning. eLife. 12. 8 indexed citations
4.
Oyama, Kei, Kei Majima, Yuji Nagai, et al.. (2024). Distinct roles of monkey OFC-subcortical pathways in adaptive behavior. Nature Communications. 15(1). 6487–6487. 5 indexed citations
5.
Horikawa, Tomoyasu, et al.. (2023). Inter-individual deep image reconstruction via hierarchical neural code conversion. NeuroImage. 271. 120007–120007. 8 indexed citations
6.
Kambe, Yuki, Kei Majima, Makoto Ohtake, et al.. (2023). Functional diversity of dopamine axons in prefrontal cortex during classical conditioning. eLife. 12. 1 indexed citations
7.
8.
Tanigawa, Hisashi, Kei Majima, Keisuke Kawasaki, et al.. (2022). Decoding distributed oscillatory signals driven by memory and perception in the prefrontal cortex. Cell Reports. 39(2). 110676–110676. 10 indexed citations
9.
Majima, Kei, et al.. (2022). Quantum-Inspired Algorithms for Accelerating Machine Learning. 29(4). 186–192. 1 indexed citations
10.
Majima, Kei, et al.. (2021). Brain hierarchy score: Which deep neural networks are hierarchically brain-like?. iScience. 24(9). 103013–103013. 39 indexed citations
11.
Majima, Kei, et al.. (2021). Fast and scalable classical machine-learning algorithm with similar performance to quantum circuit learning. Physical review. A. 104(6). 1 indexed citations
12.
Majima, Kei, et al.. (2020). Quantum-inspired canonical correlation analysis for exponentially large dimensional data. Neural Networks. 135. 55–67. 7 indexed citations
13.
Shen, Guohua, Tomoyasu Horikawa, Kei Majima, & Yukiyasu Kamitani. (2019). Deep image reconstruction from human brain activity. PLoS Computational Biology. 15(1). e1006633–e1006633. 145 indexed citations
14.
Shen, Guohua, Kshitij Dwivedi, Kei Majima, Tomoyasu Horikawa, & Yukiyasu Kamitani. (2019). End-to-End Deep Image Reconstruction From Human Brain Activity. Frontiers in Computational Neuroscience. 13. 21–21. 92 indexed citations
15.
Majima, Kei, et al.. (2018). Sparse Ordinal Logistic Regression and Its Application to Brain Decoding. Frontiers in Neuroinformatics. 12. 51–51. 8 indexed citations
16.
Hasegawa, Masashi, Kei Majima, Takahide Itokazu, et al.. (2017). Selective Suppression of Local Circuits during Movement Preparation in the Mouse Motor Cortex. Cell Reports. 18(11). 2676–2686. 25 indexed citations
17.
Majima, Kei, et al.. (2017). Position Information Encoded by Population Activity in Hierarchical Visual Areas. eNeuro. 4(2). ENEURO.0268–16.2017. 10 indexed citations
18.
Matsuo, Takeshi, Keisuke Kawasaki, Kensuke Kawai, et al.. (2013). Alternating Zones Selective to Faces and Written Words in the Human Ventral Occipitotemporal Cortex. Cerebral Cortex. 25(5). 1265–1277. 17 indexed citations
19.
Suzuki, Takafumi, et al.. (2010). Simultaneous recording of ECoG and intracortical neuronal activity using a flexible multichannel electrode-mesh in visual cortex. NeuroImage. 54(1). 203–212. 82 indexed citations
20.
Wolt, Jeffrey D., et al.. (2005). An ecological risk assessment of Cry1F maize pollen impact to pale grass blue butterfly. PubMed. 4(4). 243–251. 32 indexed citations

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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