Howard See

962 citations
48 papers · 805 · h-index 17

Impact in

Papers in

Howard See

48 papers receiving 755 citations

Peers

Howard See
Comparison fields: 5 of 72
  • Fluid Flow and Transfer Processes 183
  • Civil and Structural Engineering 498
  • Polymers and Plastics 115
  • Computational Mechanics 167
  • Biomedical Engineering 270
Replace Olga Volkova with:
Olga Volkova France
M. Parthasarathy United States
Juan Pablo Segovia-Gutiérrez Spain
S. Lacis Latvia
Davide A. Hill United States
Gary L. Leal United States
P. Attané France
Keshvad Shahrivar Spain
Huidi Ji United States
M. Klüppel Germany
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Citations per field
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Citations per year

Countries citing papers authored by Howard See

Since Specialization
Citations

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

Fields of papers citing papers by Howard See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199069
2 199163
3
Advances in Electro-rheological Fluids: Materials, Modelling and Applications
200448
4 200248
5 200343
6 200342
7 200041
8 200840
9 200235
10 199235
11 199633
12 200530
13 200023
14 201021
15
Advances in modelling the mechanisms and rheology of electrorheological fluids
199920
16
Effect of compression on the response of a magneto-rheological suspension
200620
17 199917
18 200114
19 199614
20 200713

About Howard See

Howard See is a scholar working on Civil and Structural Engineering, Fluid Flow and Transfer Processes, Computational Mechanics, Biomedical Engineering and Materials Chemistry, having authored 48 papers that have together received 805 indexed citations. Recurring topics across this work include Vibration Control and Rheological Fluids (29 papers), Rheology and Fluid Dynamics Studies (17 papers), Seismic Performance and Analysis (12 papers), Characterization and Applications of Magnetic Nanoparticles (7 papers), Fluid Dynamics and Vibration Analysis (7 papers), Material Dynamics and Properties (6 papers), Polysaccharides Composition and Applications (4 papers) and Geomagnetism and Paleomagnetism Studies (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (183 citations), Civil and Structural Engineering (498 citations), Polymers and Plastics (115 citations), Computational Mechanics (167 citations) and Biomedical Engineering (270 citations). Howard See has collaborated with scholars based in Australia, Japan and Germany. Frequent co-authors include Masao Doi, N. Phan‐Thien, Ronald G. Larson, R. I. Tanner, Takatsune NARUMI, Tomiichi HASEGAWA, Ryo Sakurai, Ping Jiang, Fumikazu Ikazaki and Akiko Kawai. Their work appears in journals such as Rheologica Acta, Journal of Rheology, Journal of the Physical Society of Japan, Nihon Reoroji Gakkaishi and Food and Bioproducts Processing.

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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