Tadamasa Sawada
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms 29
- Aesthetic Perception and Analysis 3
- Architecture top 5%
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- Advanced Vision and Imaging 10
- Optical measurement and interference techniques 8
- Visual Attention and Saliency Detection 4
- Geometry and Topology top 10%
- Morphological variations and asymmetry 3
- Ophthalmology top 10%
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- Color perception and design 5
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- Spatial Cognition and Navigation 3
- Co-authors
- Zygmunt PizloYunfeng LiRobert M. SteinmanWalter G. KropatschAlexander A. PetrovTae‐Kyu KwonYichun ShiMasami K. Yamaguchi
- Partner nations
- RussiaUnited StatesArmenia
In The Last Decade
Tadamasa Sawada
41 papers receiving 382 citations
Peers
Comparison fields: 5 of 73
- Cognitive Neuroscience 278
- Architecture 12
- Computer Vision and Pattern Recognition 149
- Geometry and Topology 54
- Ophthalmology 28
Countries citing papers authored by Tadamasa Sawada
This map shows the geographic impact of Tadamasa Sawada'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 Tadamasa Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadamasa Sawada more than expected).
Fields of papers citing papers by Tadamasa Sawada
This network shows the impact of papers produced by Tadamasa Sawada. 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 Tadamasa Sawada. The network helps show where Tadamasa Sawada may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Tadamasa Sawada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 5 | |
| 10 | 2018 | 4 | |
| 11 | 2018 | 8 | |
| 12 | 2017 | 17 | |
| 13 | Modifying the Method of Constant Stimuli to analyze the perception of a complex stimulus. | 2017 | 1 |
| 14 | 2015 | 6 | |
| 15 | 2013 | 1 | |
| 16 | 2010 | 10 | |
| 17 | 2010 | 28 | |
| 18 | 2009 | 51 | |
| 19 | 2008 | 40 | |
| 20 | 2003 | 2 |
About Tadamasa Sawada
Tadamasa Sawada is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Theoretical Computer Science, having authored 44 papers that have together received 391 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (29 papers), Advanced Vision and Imaging (10 papers), Optical measurement and interference techniques (8 papers), Color perception and design (5 papers), Visual Attention and Saliency Detection (4 papers), Aesthetic Perception and Analysis (3 papers), Spatial Cognition and Navigation (3 papers) and Morphological variations and asymmetry (3 papers). The work is most often cited by research in Cognitive Neuroscience (278 citations), Architecture (12 citations) and Computer Vision and Pattern Recognition (149 citations). Tadamasa Sawada has collaborated with scholars based in Russia, United States and Armenia. Frequent co-authors include Zygmunt Pizlo, Yunfeng Li, Robert M. Steinman, Yunfeng Li, Walter G. Kropatsch, Alexander A. Petrov, Tae‐Kyu Kwon, Yichun Shi, Masami K. Yamaguchi and Albert Yonas. Their work appears in journals such as PLoS ONE, Proceedings of the IEEE and Journal of Neurophysiology.
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.