H See

1.2k total citations · 1 hit paper
23 papers, 947 citations indexed

About

H See is a scholar working on Civil and Structural Engineering, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, H See has authored 23 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 7 papers in Biomedical Engineering and 6 papers in Computational Mechanics. Recurrent topics in H See's work include Vibration Control and Rheological Fluids (13 papers), Characterization and Applications of Magnetic Nanoparticles (5 papers) and Seismic Performance and Analysis (4 papers). H See is often cited by papers focused on Vibration Control and Rheological Fluids (13 papers), Characterization and Applications of Magnetic Nanoparticles (5 papers) and Seismic Performance and Analysis (4 papers). H See collaborates with scholars based in Australia, Japan and Ireland. H See's co-authors include Masao Doi, Eirik G. Flekkøy, Knut Jørgen Måløy, Henning Arendt Knudsen, Bjørnar Sandnes, Akiko Kawai, Fumikazu Ikazaki, Michael V. Swain, N. Mai‐Duy and T. Tran‐Cong and has published in prestigious journals such as Nature Communications, Journal of Physics D Applied Physics and Measurement Science and Technology.

In The Last Decade

H See

21 papers receiving 888 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Introduction to Polymer Physics

1995 538 citations Masao Doi, H See profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
H See Australia	11	283	224	195	162	132	23	947
Joachim Wittmer France	11	218 0.8×	568 2.5×	155 0.8×	114 0.7×	424 3.2×	12	1.3k
P. Hébraud France	15	99 0.3×	443 2.0×	69 0.4×	65 0.4×	116 0.9×	24	810
R. Deam Australia	14	230 0.8×	163 0.7×	70 0.4×	104 0.6×	80 0.6×	27	844
Jonathan McCoy United States	6	102 0.4×	245 1.1×	46 0.2×	65 0.4×	141 1.1×	9	611
Laurent Lobry France	20	385 1.4×	473 2.1×	88 0.5×	52 0.3×	548 4.2×	42	1.3k
Vijayakumar Chikkadi Netherlands	16	264 0.9×	646 2.9×	57 0.3×	52 0.3×	225 1.7×	26	1.2k
J. Ravi Prakash Australia	21	208 0.7×	399 1.8×	45 0.2×	272 1.7×	407 3.1×	67	1.2k
Sheng‐Tao Yu United States	21	288 1.0×	526 2.3×	94 0.5×	91 0.6×	498 3.8×	90	2.4k
Qi Wang China	22	517 1.8×	231 1.0×	39 0.2×	109 0.7×	61 0.5×	175	1.7k
I. Santamarı́a-Holek Mexico	14	149 0.5×	251 1.1×	26 0.1×	42 0.3×	84 0.6×	70	732

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 of co-authors of H See

This figure shows the co-authorship network connecting the top 25 collaborators of H See. A scholar is included among the top collaborators of H See 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 H See. H See is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sandnes, Bjørnar, Eirik G. Flekkøy, Henning Arendt Knudsen, Knut Jørgen Måløy, & H See. (2011). Patterns and flow in frictional fluid dynamics. Nature Communications. 2(1). 288–288. 130 indexed citations

2.

See, H, et al.. (2009). Cavitation in an oscillatory squeeze film rheometer. Measurement Science and Technology. 20(7). 75404–75404. 2 indexed citations

3.

See, H, et al.. (2009). Modelling of ER squeeze films at low amplitude oscillations. Journal of Non-Newtonian Fluid Mechanics. 161(1-3). 101–108. 6 indexed citations

4.

See, H, et al.. (2008). Determining the flow curves for an inverse ferrofluid. 20(1). 35–42. 6 indexed citations

5.

See, H, et al.. (2008). Identification of an ER Fluid in Unsteady Flow with Random Electric Field and Solidification. Journal of Intelligent Material Systems and Structures. 20(2). 205–215. 6 indexed citations

6.

See, H, et al.. (2008). The influence of wall interaction on dynamic particle modelling of magneto-rheological suspensions between shearing plates. Rheologica Acta. 47(8). 917–927. 5 indexed citations

7.

Langrish, T.A.G. & H See. (2008). Diverse assessment methods in group work settings. Education for Chemical Engineers. 3(1). e40–e46. 5 indexed citations

8.

Mai‐Duy, N., H See, & T. Tran‐Cong. (2007). A spectral collocation technique based on integrated Chebyshev polynomials for biharmonic problems in irregular domains. Applied Mathematical Modelling. 33(1). 284–299. 23 indexed citations

9.

See, H, et al.. (2007). Using oscillatory shear to probe the effects of bidispersity in inverse ferrofluids. 19(1). 35–42. 15 indexed citations

10.

Mai‐Duy, N., H See, & T. Tran‐Cong. (2007). An integral‐collocation‐based fictitious‐domain technique for solving elliptic problems. Communications in Numerical Methods in Engineering. 24(11). 1291–1314. 4 indexed citations

11.

See, H, et al.. (2007). DYNAMIC BEHAVIOR OF FIELD-RESPONSIVE PARTICULATE SUSPENSIONS. 285–291.

12.

Gomes, Vincent G., G.W. Barton, Jim Petrie, et al.. (2006). Chemical Engineering Curriculum Renewal. Education for Chemical Engineers. 1(1). 116–125. 29 indexed citations

13.

See, H. (2003). Probing the Microstructure of Field-responsive Suspensions with Rheometry. 1190. 1 indexed citations

14.

Jiang, Ping, H See, Michael V. Swain, & N. Phan‐Thien. (2003). Using oscillatory squeezing flow to measure the viscoelastic properties of dental composite resin cements during curing. Rheologica Acta. 42(1-2). 118–122. 14 indexed citations

15.

See, H, Akiko Kawai, & Fumikazu Ikazaki. (2002). Differences in the electrorheological response of a particle suspension under direct current and alternating current electric fields. Colloid & Polymer Science. 280(1). 24–29. 40 indexed citations

16.

Sakurai, Ryo, et al.. (1999). Effect of matrix viscoelasticity on the electrorheological properties of particle suspensions. Journal of Non-Newtonian Fluid Mechanics. 81(3). 235–250. 21 indexed citations

17.

See, H, et al.. (1996). MODEL OF STRUCTURE AND CONDUCTION IN AN ELECTRORHEOLOGICAL FLUID UNDER FLOW. International Journal of Modern Physics B. 10(23n24). 3267–3274. 4 indexed citations

18.

Doi, Masao & H See. (1995). Introduction to Polymer Physics. 538 indexed citations breakdown →

19.

See, H, et al.. (1993). The role of water capillary forces in electro-rheological fluids. Journal of Physics D Applied Physics. 26(5). 746–752. 41 indexed citations

20.

See, H, et al.. (1993). Model of porous particles containing water in electro-rheological fluids. Journal of Physics D Applied Physics. 26(8). 1181–1187. 16 indexed citations

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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