M. Maeda

1.4k citations
64 papers · 1.1k · h-index 18

Impact in

    • Fluid Dynamics and Turbulent Flows
    • Combustion and flame dynamics
    • Fluid Dynamics and Heat Transfer
    • Granular flow and fluidized beds
    • Particle Dynamics in Fluid Flows

Papers in

M. Maeda

59 papers receiving 1.0k citations

Peers

M. Maeda
Comparison fields: 5 of 109
  • Computational Mechanics 614
  • Ocean Engineering 423
  • Fluid Flow and Transfer Processes 53
  • Endocrine and Autonomic Systems 40
  • Environmental Engineering 91
Replace Francesco Romanò with:
Francesco Romanò France
Peter Scherer United States
Selman Nas United States
M. Souli France
Xiufeng Yang China
A. C. King United Kingdom
Ch. Brücker Germany
M. Rosenfeld Israel
P.W. Carpenter United Kingdom
M. Maeda relative to Francesco Romanò France Francesco Romanò's profile →
Citations per field
00.5×6.5×
Francesco Romanò · 1×
Citations per year

Countries citing papers authored by M. Maeda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside M. Maeda, 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 M. Maeda Line = papers co-authored together M. Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991124
2 1993119
3 198780
4 199871
5 199268
6 200458
7 200256
8 199646
9 200245
10 199437
11
Optical measurments of local gas and particle velocity in an upward flowing dilute gas-solids suspension.
198029
12 198025
13 199424
14 199724
15 200322
16 198920
17 200219
18 199317
19 199615
20 199511

About M. Maeda

M. Maeda is a scholar working on Computational Mechanics, Ocean Engineering, Electrical and Electronic Engineering, Biomedical Engineering and Neurology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Particle Dynamics in Fluid Flows (16 papers), Fluid Dynamics and Turbulent Flows (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Neuroscience of respiration and sleep (7 papers), Flow Measurement and Analysis (5 papers), Aerosol Filtration and Electrostatic Precipitation (5 papers), Wind and Air Flow Studies (5 papers) and Plant Surface Properties and Treatments (5 papers). The work is most often cited by research in Computational Mechanics (614 citations), Ocean Engineering (423 citations), Fluid Flow and Transfer Processes (53 citations), Endocrine and Autonomic Systems (40 citations) and Environmental Engineering (91 citations). M. Maeda has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include K. Hishida, Ronald J. Adrian, Jun Sakakibara, D. F. G. Durão, F. Durst, M. Nakai, Tatsuya Kawaguchi, Akira Ando, J. H. Whitelaw and M. V. Heitor. Their work appears in journals such as Experiments in Fluids, Neuroscience, Acta Physiologica, International Journal of Multiphase Flow and Public Health.

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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