Emi Yamada
Impact in
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Electric Motor Design and Analysis 14
- Sensorless Control of Electric Motors 11
- Multilevel Inverters and Converters 8
-
- Face Recognition and Perception 7
- Visual perception and processing mechanisms 5
- Co-authors
- Jun Oyama (17 shared papers)T. Higuchi (12 shared papers)K. Izumi (7 shared papers)Shuo Chen (1 shared paper)T.Α. Lipo (1 shared paper)T. Koga (2 shared papers)Yuichiro Kaneko (6 shared papers)Tsutomu Takeuchi (6 shared papers)
- Journals
- Annals of the Rheumatic Diseases (5 papers)Scientific Reports (2 papers)Brain and Behavior (2 papers)Cortex (1 paper)Frontiers in Aging Neuroscience (1 paper)
- Partner nations
- JapanSouth KoreaTaiwan
In The Last Decade
Emi Yamada
48 papers receiving 676 citations
Peers
Comparison fields: 5 of 85
- Rheumatology 178
- Genetics 84
- Control and Systems Engineering 129
- Electrical and Electronic Engineering 315
- Hematology 58
Countries citing papers authored by Emi Yamada
This map shows the geographic impact of Emi Yamada'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 Emi Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emi Yamada more than expected).
Fields of papers citing papers by Emi Yamada
This network shows the impact of papers produced by Emi Yamada. 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 Emi Yamada. The network helps show where Emi Yamada may publish in the future.
Co-authors
The 25 scholars most cited alongside Emi Yamada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 101 | |
| 2 | 2003 | 101 | |
| 3 | 2001 | 87 | |
| 4 | 2019 | 85 | |
| 5 | 2006 | 61 | |
| 6 | 2002 | 30 | |
| 7 | 2018 | 26 | |
| 8 | 2019 | 25 | |
| 9 | 2020 | 22 | |
| 10 | 2002 | 19 | |
| 11 | 1997 | 13 | |
| 12 | 2002 | 11 | |
| 13 | 2020 | 9 | |
| 14 | 2002 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2002 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2002 | 5 |
About Emi Yamada
Emi Yamada is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Control and Systems Engineering, Rheumatology and Pathology and Forensic Medicine, having authored 53 papers that have together received 706 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (14 papers), Sensorless Control of Electric Motors (11 papers), Multilevel Inverters and Converters (8 papers), Face Recognition and Perception (7 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Magnetic Bearings and Levitation Dynamics (6 papers), Visual perception and processing mechanisms (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Rheumatology (178 citations), Genetics (84 citations), Control and Systems Engineering (129 citations), Electrical and Electronic Engineering (315 citations) and Hematology (58 citations). Emi Yamada has collaborated with scholars based in Japan, South Korea and Taiwan. Frequent co-authors include Jun Oyama, T. Higuchi, K. Izumi, Shuo Chen, T.Α. Lipo, T. Koga, Yuichiro Kaneko, Tsutomu Takeuchi, Sakae Tanaka and Yoshiya Tanaka. Their work appears in journals such as Annals of the Rheumatic Diseases, Scientific Reports, Brain and Behavior, Cortex and Frontiers in Aging 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.