Kentaro Go

146 total papers · 746 total citations
59 papers, 373 citations indexed

About

Kentaro Go is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kentaro Go has authored 59 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Human-Computer Interaction, 20 papers in Cognitive Neuroscience and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kentaro Go's work include Interactive and Immersive Displays (17 papers), Gaze Tracking and Assistive Technology (14 papers) and Tactile and Sensory Interactions (13 papers). Kentaro Go is often cited by papers focused on Interactive and Immersive Displays (17 papers), Gaze Tracking and Assistive Technology (14 papers) and Tactile and Sensory Interactions (13 papers). Kentaro Go collaborates with scholars based in Japan, China and United States. Kentaro Go's co-authors include John M. Carroll, Xiaoyang Mao, Masahiro Toyoura, Kenji Kashiwagi, Issei Fujishiro, Atsumi Imamiya, Qiaohui Zhang, Tien-Tsin Wong, Xiao‐Diao Chen and Xinyi Wang and has published in prestigious journals such as Scientific Reports, IEEE Access and Applied Sciences.

In The Last Decade

Kentaro Go

49 papers receiving 333 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kentaro Go	144	109	99	39	39	59	373
Arnold M. Lund	161 1.1×	66 0.6×	72 0.7×	7 0.2×	40 1.0×	46	397
Bryan Wang	111 0.8×	104 1.0×	48 0.5×	5 0.1×	96 2.5×	25	342
Chao Zhang	83 0.6×	66 0.6×	62 0.6×	4 0.1×	88 2.3×	64	424
Jiannan Li	105 0.7×	58 0.5×	26 0.3×	5 0.1×	27 0.7×	41	435
Lindsay MacDonald	198 1.4×	102 0.9×	58 0.6×	18 0.5×	36 0.9×	25	415
Davide Gadia	81 0.6×	232 2.1×	77 0.8×	96 2.5×	55 1.4×	52	440
Danli Wang	122 0.8×	92 0.8×	44 0.4×	4 0.1×	21 0.5×	47	376
Naveen Kumar	62 0.4×	20 0.2×	70 0.7×	6 0.2×	33 0.8×	31	387
Andrew Johnston	131 0.9×	133 1.2×	61 0.6×	10 0.3×	37 0.9×	67	365
Marcelo M. Soares	158 1.1×	43 0.4×	43 0.4×	9 0.2×	12 0.3×	65	356

Countries citing papers authored by Kentaro Go

Since Specialization

Citations

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

Fields of papers citing papers by Kentaro Go

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kentaro Go

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

All Works

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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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