Masaki Emoto

1.3k total citations
47 papers, 980 citations indexed

About

Masaki Emoto is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction. According to data from OpenAlex, Masaki Emoto has authored 47 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 24 papers in Media Technology and 20 papers in Human-Computer Interaction. Recurrent topics in Masaki Emoto's work include Image and Video Quality Assessment (31 papers), Advanced Optical Imaging Technologies (23 papers) and Visual perception and processing mechanisms (19 papers). Masaki Emoto is often cited by papers focused on Image and Video Quality Assessment (31 papers), Advanced Optical Imaging Technologies (23 papers) and Visual perception and processing mechanisms (19 papers). Masaki Emoto collaborates with scholars based in Japan. Masaki Emoto's co-authors include Fumio Okano, Sumio Yano, Tetsuo Mitsuhashi, Yuji Nojiri, Masayuki Sugawara, Kenichiro Masaoka, Hideyuki Matsumoto, Yoshikazu Ugawa, Ritsuko Hanajima and Yasuo Terao and has published in prestigious journals such as PLoS ONE, Movement Disorders and Clinical Neurophysiology.

In The Last Decade

Masaki Emoto

40 papers receiving 861 citations

Peers

Masaki Emoto
Comparison fields: 5 of 81
  • Media Technology 560
  • Human-Computer Interaction 469
  • Cognitive Neuroscience 460
  • Computer Vision and Pattern Recognition 348
  • Social Psychology 64
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Citations per field, relative to Masaki Emoto
Masaki Emoto · 1×
Citations per year, relative to Masaki Emoto
Masaki Emoto · 1×

Countries citing papers authored by Masaki Emoto

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Emoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Emoto

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Emoto. A scholar is included among the top collaborators of Masaki Emoto 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 Masaki Emoto. Masaki Emoto 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
# Work Indexed citations
1 3
2 9
3 21
4 0
5 66
6 50
7 2
8 1
9
Evaluation of the sense of presence in viewing wide-field images
1
10
Contrast Effect in Evaluating Sensation of Presence for Wide Field-of-View -- *
1
11 6
12 8
13
Quantitative evaluation of sensation of presence in viewing the “Super Hi-Vision” 4000-scanning-line wide-field video system
1
14 90
15 5
16 3
17 1
18 7
19 1
20 1

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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