Naotaka Fujii

4.3k total citations
57 papers, 2.9k citations indexed

About

Naotaka Fujii is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Naotaka Fujii has authored 57 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 16 papers in Cellular and Molecular Neuroscience and 8 papers in Social Psychology. Recurrent topics in Naotaka Fujii's work include Neural dynamics and brain function (41 papers), EEG and Brain-Computer Interfaces (21 papers) and Neuroscience and Neural Engineering (12 papers). Naotaka Fujii is often cited by papers focused on Neural dynamics and brain function (41 papers), EEG and Brain-Computer Interfaces (21 papers) and Neuroscience and Neural Engineering (12 papers). Naotaka Fujii collaborates with scholars based in Japan, United States and China. Naotaka Fujii's co-authors include Ann M. Graybiel, Richard Courtemanche, Hajime Mushiake, Jun Tanji, Yasuo Nagasaka, Zenas C. Chao, Toru Yanagawa, Atsushi Iriki, Sayaka Hihara and Dezhe Z. Jin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Naotaka Fujii

56 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naotaka Fujii Japan 31 2.3k 840 363 355 179 57 2.9k
Andrea Brovelli France 22 2.2k 1.0× 521 0.6× 244 0.7× 150 0.4× 172 1.0× 40 2.6k
Ryan T. Canolty United States 14 4.3k 1.9× 1.5k 1.7× 184 0.5× 240 0.7× 280 1.6× 15 4.6k
Tamer Demıralp Türkiye 35 3.9k 1.7× 959 1.1× 213 0.6× 202 0.6× 329 1.8× 108 4.5k
Mariska J. Vansteensel Netherlands 30 2.4k 1.1× 1.5k 1.8× 138 0.4× 178 0.5× 261 1.5× 87 3.3k
Sarang S. Dalal United States 34 4.3k 1.9× 1.2k 1.4× 186 0.5× 248 0.7× 309 1.7× 62 4.9k
Robert T. Knight United States 22 3.7k 1.6× 905 1.1× 187 0.5× 161 0.5× 466 2.6× 32 4.1k
Piotr J. Franaszczuk United States 27 2.5k 1.1× 767 0.9× 116 0.3× 153 0.4× 166 0.9× 82 2.9k
André M. Bastos United States 19 5.0k 2.2× 1.4k 1.7× 281 0.8× 149 0.4× 432 2.4× 32 5.6k
Canan Başar‐Eroğlu Germany 34 4.3k 1.9× 944 1.1× 286 0.8× 125 0.4× 441 2.5× 72 4.8k
Ueli Rutishauser United States 35 3.3k 1.4× 1.1k 1.3× 253 0.7× 136 0.4× 238 1.3× 84 4.3k

Countries citing papers authored by Naotaka Fujii

Since Specialization
Citations

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

Fields of papers citing papers by Naotaka Fujii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naotaka Fujii

This figure shows the co-authorship network connecting the top 25 collaborators of Naotaka Fujii. A scholar is included among the top collaborators of Naotaka Fujii 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 Naotaka Fujii. Naotaka Fujii 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.
Raut, Ryan V., Abraham Z. Snyder, Anish Mitra, et al.. (2021). Global waves synchronize the brain’s functional systems with fluctuating arousal. Science Advances. 7(30). 133 indexed citations
2.
3.
Komatsu, Misako, Eriko Sugano, Hiroshi Tomita, & Naotaka Fujii. (2017). A Chronically Implantable Bidirectional Neural Interface for Non-human Primates. Frontiers in Neuroscience. 11. 514–514. 18 indexed citations
4.
Yanagawa, Toru, et al.. (2016). Social Suppressive Behavior Is Organized by the Spatiotemporal Integration of Multiple Cortical Regions in the Japanese Macaque. PLoS ONE. 11(3). e0150934–e0150934. 3 indexed citations
5.
Tajima, Satohiro, Toru Yanagawa, Naotaka Fujii, & Taro Toyoizumi. (2015). Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding. PLoS Computational Biology. 11(11). e1004537–e1004537. 47 indexed citations
6.
Liu, Xiao, Toru Yanagawa, David A. Leopold, et al.. (2015). Arousal transitions in sleep, wakefulness, and anesthesia are characterized by an orderly sequence of cortical events. NeuroImage. 116. 222–231. 50 indexed citations
7.
Komatsu, Misako, Kana Takaura, & Naotaka Fujii. (2015). Mismatch negativity in common marmosets: Whole-cortical recordings with multi-channel electrocorticograms. Scientific Reports. 5(1). 15006–15006. 33 indexed citations
8.
Takaura, Kana, Naotsugu Tsuchiya, & Naotaka Fujii. (2015). Frequency-dependent spatiotemporal profiles of visual responses recorded with subdural ECoG electrodes in awake monkeys: Differences between high- and low-frequency activity. NeuroImage. 124(Pt A). 557–572. 14 indexed citations
9.
Solovey, Guillermo, Leandro M. Alonso, Toru Yanagawa, et al.. (2015). Loss of Consciousness Is Associated with Stabilization of Cortical Activity. Journal of Neuroscience. 35(30). 10866–10877. 75 indexed citations
10.
Komatsu, Misako, et al.. (2014). An artificial network model for estimating the network structure underlying partially observed neuronal signals. Neuroscience Research. 81-82. 69–77. 2 indexed citations
11.
Fukushima, M., et al.. (2014). An electrocorticographic electrode array for simultaneous recording from medial, lateral, and intrasulcal surface of the cortex in macaque monkeys. Journal of Neuroscience Methods. 233. 155–165. 27 indexed citations
12.
Nagasaka, Yasuo, et al.. (2013). Spontaneous synchronization of arm motion between Japanese macaques. Scientific Reports. 3(1). 1151–1151. 46 indexed citations
13.
Suzuki, Keisuke, et al.. (2012). Substitutional Reality System: A Novel Experimental Platform for Experiencing Alternative Reality. Scientific Reports. 2(1). 459–459. 37 indexed citations
14.
Zhao, Qibin, César F. Caiafa, Danilo P. Mandic, et al.. (2012). Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(7). 1660–1673. 111 indexed citations
15.
Nagasaka, Yasuo, et al.. (2011). Multidimensional Recording (MDR) and Data Sharing: An Ecological Open Research and Educational Platform for Neuroscience. PLoS ONE. 6(7). e22561–e22561. 72 indexed citations
16.
Barakova, Emilia, Andrew Spink, & Naotaka Fujii. (2011). From neuron to behavior: Evidence from behavioral measurements. Neurocomputing. 84. 1–2. 2 indexed citations
17.
Fujii, Naotaka, Sayaka Hihara, Yasuo Nagasaka, & Atsushi Iriki. (2008). Social state representation in prefrontal cortex. Social Neuroscience. 4(1). 73–84. 44 indexed citations
18.
Fujii, Naotaka, Dilshat Abla, Noriko Kudo, et al.. (2007). Prefrontal activity during koh-do incense discrimination. Neuroscience Research. 59(3). 257–264. 4 indexed citations
19.
Fujii, Naotaka, Sayaka Hihara, & Atsushi Iriki. (2007). Dynamic Social Adaptation of Motion-Related Neurons in Primate Parietal Cortex. PLoS ONE. 2(4). e397–e397. 59 indexed citations
20.
Fujii, Naotaka, Hajime Mushiake, & Jun Tanji. (2000). Rostrocaudal Distinction of the Dorsal Premotor Area Based on Oculomotor Involvement. Journal of Neurophysiology. 83(3). 1764–1769. 93 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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