M. Maeda
- Computational Mechanics top 2%
- Ocean Engineering top 2%
- Biomedical Engineering
- Aerospace Engineering top 10%
- Mechanical Engineering
- Co-authors
- K. HishidaJun SakakibaraD. F. G. DurãoRonald J. AdrianM. NakaiF. DurstAkira AndoTatsuya Kawaguchi
- Topics
- Particle Dynamics in Fluid Flows (11 papers)Fluid Dynamics and Turbulent Flows (9 papers)Traumatic Brain Injury and Neurovascular Disturbances (6 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
M. Maeda
47 papers receiving 863 citations
Peers
Comparison fields: 5 of 109
- Computational Mechanics 498
- Ocean Engineering 343
- Biomedical Engineering 225
- Aerospace Engineering 125
- Mechanical Engineering 117
Countries citing papers authored by M. Maeda
This map shows the geographic impact of M. Maeda'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 M. Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Maeda more than expected).
Fields of papers citing papers by M. Maeda
This network shows the impact of papers produced by M. Maeda. 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 M. Maeda. The network helps show where M. Maeda may publish in the future.
Co-authorship network of co-authors of M. Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of M. Maeda. A scholar is included among the top collaborators of M. Maeda 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 M. Maeda. M. Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | [Evaluation for factors associated to early tracheal extubation after coronary artery bypass grafting]. | 1 |
| 5 | 6 | |
| 6 | The isolation of methicillin-resistant Staphylococcus aureus (MRSA) is a predictor for poor prognosis of the elderly patients with bacterial infection | 2 |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 33 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 24 | |
| 17 | 11 | |
| 18 | 8 | |
| 19 | Turbulent flow characteristics in a rectangular channel with repeated rib roughness | 4 |
| 20 | Optical measurments of local gas and particle velocity in an upward flowing dilute gas-solids suspension. | 28 |
About M. Maeda
M. Maeda is a scholar working on Endocrine and Autonomic Systems, Ocean Engineering and Computational Mechanics, having authored 48 papers that have together received 908 indexed citations. Recurring topics across this work include Particle Dynamics in Fluid Flows (11 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). The work is most often cited by research in Computational Mechanics (498 citations), Ocean Engineering (343 citations) and Fluid Flow and Transfer Processes (42 citations). M. Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include K. Hishida, Jun Sakakibara, D. F. G. Durão, Ronald J. Adrian, M. Nakai, F. Durst, Akira Ando, Tatsuya Kawaguchi, J. H. Whitelaw and Akira Tokuhiro. Their work appears in journals such as Neuroscience, Journal of Heat Transfer and Advances in experimental medicine and biology.
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.