Naohide Yamamoto

527 citations
31 papers · 323 indexed · h-index 10

Naohide Yamamoto

24 papers receiving 316 citations

Peers

Naohide Yamamoto
Comparison fields: 5 of 76
  • Automotive Engineering 150
  • Cognitive Neuroscience 170
  • Transportation 37
  • Experimental and Cognitive Psychology 68
  • Human-Computer Interaction 27
Replace Prashant Arvind Pala with:
Prashant Arvind Pala France
Mathieu Taillade France
Michael S. Ambinder United States
Leonardo Bonetti Denmark
Gregor Hardieß Germany
Kristen L. Macuga United States
Sabine Gillner Germany
Dae Shik Kim United States
Michiel H.G. Claessen Netherlands
William de Cothi United Kingdom
Naohide Yamamoto relative to Prashant Arvind Pala France Prashant Arvind Pala's profile →
Citations per field
00.5×3.1×
Prashant Arvind Pala · 1×
Citations per year

Countries citing papers authored by Naohide Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Naohide Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside Naohide Yamamoto, 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 Naohide Yamamoto Line = papers co-authored together Naohide Yamamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20230
4 20235
5 20230
6 20230
7 20236
8 20228
9 20221
10 20226
11
DeFINE:delayed feedback-based immersive navigation environment for studying goal-directed human navigation
20213
12 202113
13 202040
14 20208
15 201610
16 201439
17 201218
18 200913
19 200615
20 20020

About Naohide Yamamoto

Naohide Yamamoto is a scholar working on Automotive Engineering, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 31 papers that have together received 323 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (12 papers), Spatial Cognition and Navigation (12 papers), Neural and Behavioral Psychology Studies (9 papers), Neural dynamics and brain function (7 papers), Visual and Cognitive Learning Processes (4 papers), Memory and Neural Mechanisms (4 papers), Multisensory perception and integration (4 papers) and Geographic Information Systems Studies (3 papers). The work is most often cited by research in Automotive Engineering (150 citations), Cognitive Neuroscience (170 citations) and Transportation (37 citations). Naohide Yamamoto has collaborated with scholars based in Australia, United States and Finland. Frequent co-authors include Amy L. Shelton, John W. Philbeck, Narelle Haworth, Divera Twisk, Patrick Johnston, Alan J. Pegna, Anthony J. Caputy, Adam J. Woods, Samuel J. Potolicchio and Philip A. Allen. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Cognitive Neuroscience.

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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