Shoya Ishimaru

975 citations
58 papers · 638 · h-index 14

Impact in

Papers in

Shoya Ishimaru

49 papers receiving 610 citations

Peers

Shoya Ishimaru
Comparison fields: 5 of 83
  • Human-Computer Interaction 337
  • Cognitive Neuroscience 181
  • Experimental and Cognitive Psychology 119
  • Computer Vision and Pattern Recognition 173
  • Computer Science Applications 27
Replace Tonja Machulla with:
Tonja Machulla Germany
Yomna Abdelrahman Germany
Michael Xuelin Huang Hong Kong
Jarrod Knibbe Australia
Anke Huckauf Germany
Kiel Gilleade United Kingdom
Hana Vrzáková Finland
Mariam Hassib Germany
Kai Kunze Japan
Marco Pedrotti France
Shoya Ishimaru relative to Tonja Machulla Germany Tonja Machulla's profile →
Citations per field
00.5×3.4×
Tonja Machulla · 1×
Citations per year

Countries citing papers authored by Shoya Ishimaru

Since Specialization
Citations

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

Fields of papers citing papers by Shoya Ishimaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shoya Ishimaru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shoya Ishimaru Line = papers co-authored together Shoya Ishimaru links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014112
2 201560
3 202157
4 201450
5 201737
6 202030
7 201528
8 201522
9 201615
10 201315
11 201714
12 201513
13 201313
14 202113
15 202111
16 201610
17 202310
18 20229
19 20189
20 20189

About Shoya Ishimaru

Shoya Ishimaru is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 58 papers that have together received 638 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (33 papers), Tactile and Sensory Interactions (9 papers), Interactive and Immersive Displays (8 papers), EEG and Brain-Computer Interfaces (7 papers), Emotion and Mood Recognition (5 papers), Video Analysis and Summarization (4 papers), Context-Aware Activity Recognition Systems (4 papers) and Visual and Cognitive Learning Processes (4 papers). The work is most often cited by research in Human-Computer Interaction (337 citations), Cognitive Neuroscience (181 citations), Experimental and Cognitive Psychology (119 citations), Computer Vision and Pattern Recognition (173 citations) and Computer Science Applications (27 citations). Shoya Ishimaru has collaborated with scholars based in Germany, Japan and Australia. Frequent co-authors include Andreas Dengel, Koichi Kise, Kai Kunze, Kai Kunze, Masahiko İnami, Paul Lukowicz, Jens Weppner, Andreas Bulling, Yuji Uema and Oliver Amft. Their work appears in journals such as IEEE Access, Sensors, International Journal of Artificial Intelligence in Education, IEEE Pervasive Computing and European Radiology.

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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