Hoyte C. Raven

435 citations
22 papers · 302 indexed · h-index 8

Hoyte C. Raven

22 papers receiving 262 citations

Peers

Hoyte C. Raven
Comparison fields: 5 of 36
  • Ocean Engineering 237
  • Computational Mechanics 175
  • Environmental Engineering 69
  • Oceanography 23
  • Mechanical Engineering 59
Replace Jiaye Gong with:
Jiaye Gong China
Yunbo Li China
Maria Acanfora Italy
Heinrich Söding Germany
Claus D. Simonsen United States
Tommi Mikkola Finland
Yoshiaki Tsukada Japan
Min-Guk Seo South Korea
José Miguel Rodrigues Portugal
Lothar Birk United States
Hoyte C. Raven relative to Jiaye Gong China Jiaye Gong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hoyte C. Raven

Since Specialization
Citations

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

Fields of papers citing papers by Hoyte C. Raven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hoyte C. Raven. 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 Hoyte C. Raven. The network helps show where Hoyte C. Raven may publish in the future.

Co-authorship network

The 11 scholars most cited alongside Hoyte C. Raven, 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 Hoyte C. Raven Line = papers co-authored together Hoyte C. Raven links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20221
3 20223
4
An assessment of multifidelity procedures for ship hull form optimisation
20194
5 201916
6 20189
7
Wave resistance minimisation in practical ship design
20171
8 20171
9 201163
10
Ship Resistance and Flow
201047
11 200842
12
The FANTASTIC RoRo: CFD optimisation of the forebody and its experimental verification
20034
13 200121
14
Numerical modelling of ship-induced water motions: Feasibility study
20001
15 20004
16
A solution method for the nonlinear wave resistance problem
199656
17
A PRACTICAL NONLINEAR METHOD FOR CALCULATING SHIP WAVEMAKING AND WAVE RESISTANCE
199417
18
ADEQUACY OF FREE SURFACE CONDITIONS FOR THE WAVE RESISTANCE PROBLEM
19911
19 19841
20 19801

About Hoyte C. Raven

Hoyte C. Raven is a scholar working on Ocean Engineering, Computational Mechanics and Environmental Engineering, having authored 22 papers that have together received 302 indexed citations. Recurring topics across this work include Ship Hydrodynamics and Maneuverability (14 papers), Structural Integrity and Reliability Analysis (7 papers), Fluid Dynamics Simulations and Interactions (5 papers), Maritime Transport Emissions and Efficiency (4 papers), Engineering Applied Research (3 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Manufacturing Process and Optimization (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Ocean Engineering (237 citations), Computational Mechanics (175 citations) and Environmental Engineering (69 citations). Hoyte C. Raven has collaborated with scholars based in Netherlands, Portugal and Japan. Frequent co-authors include Lars Larsson, Atze van der Ploeg, Barry Koren, Luís Eça, E. H. van Brummelen, Takanori Hino, Jeroen Wackers, G.B. Deng, P. Queutey and Tim Gourlay. Their work appears in journals such as Journal of Computational Physics, AIAA Journal and Ocean Engineering.

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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