H See

1.2k citations
23 papers · 947 indexed · 1 hit paper · h-index 11

H See

21 papers receiving 888 citations

Hit Papers

Introduction to Polymer Physics5381995202620052015100200300400500

Peers

H See
Comparison fields: 5 of 106
  • Fluid Flow and Transfer Processes 129
  • Polymers and Plastics 162
  • Civil and Structural Engineering 195
  • Computational Mechanics 132
  • Biomedical Engineering 283
Replace Joachim Wittmer with:
Joachim Wittmer France
P. Hébraud France
R. Deam Australia
Jonathan McCoy United States
J. Ravi Prakash Australia
M. Silvina Tomassone United States
Laurent Lobry France
L. Yu. Iskakova Russia
Martin O. Steinhauser Germany
I. Santamarı́a-Holek Mexico
H See relative to Joachim Wittmer France Joachim Wittmer's profile →
Citations per field
00.5×1.5×
Joachim Wittmer · 1×
Citations per year

Countries citing papers authored by H See

Since Specialization
Citations

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

Fields of papers citing papers by H See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2011130
2 20092
3 20096
4 20085
5
Determining the flow curves for an inverse ferrofluid
20086
6 20086
7 200723
8
Using oscillatory shear to probe the effects of bidispersity in inverse ferrofluids
200715
9 20070
10 20074
11 200629
12
Probing the Microstructure of Field-responsive Suspensions with Rheometry
20031
13 200314
14 200240
15 199921
16 199924
17 19964
18
Introduction to Polymer Physicsbreakdown →
1995538
19 199316
20 199341

About H See

H See is a scholar working on Fluid Flow and Transfer Processes, Civil and Structural Engineering and Numerical Analysis, having authored 23 papers that have together received 947 indexed citations. Recurring topics across this work include Vibration Control and Rheological Fluids (13 papers), Characterization and Applications of Magnetic Nanoparticles (5 papers), Seismic Performance and Analysis (4 papers), Rheology and Fluid Dynamics Studies (4 papers), Fluid Dynamics and Vibration Analysis (3 papers), NMR spectroscopy and applications (2 papers), Engineering Education and Curriculum Development (2 papers) and Polymer Nanocomposites and Properties (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (129 citations), Polymers and Plastics (162 citations) and Civil and Structural Engineering (195 citations). H See has collaborated with scholars based in Australia, Japan and Ireland. Frequent co-authors include Masao Doi, Eirik G. Flekkøy, Henning Arendt Knudsen, Bjørnar Sandnes, Knut Jørgen Måløy, Akiko Kawai, Fumikazu Ikazaki, Michael V. Swain, N. Mai‐Duy and T. Tran‐Cong. Their work appears in journals such as Journal of Non-Newtonian Fluid Mechanics, Rheologica Acta, Journal of Physics D Applied Physics, Measurement Science and Technology and Colloid & Polymer Science.

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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