D. Naot

1.0k citations
34 papers · 773 · h-index 11

Impact in

    • Fluid Dynamics and Turbulent Flows
    • Cyclone Separators and Fluid Dynamics
  • Ecology top 5%
    • Hydrology and Sediment Transport Processes

Papers in

D. Naot

31 papers receiving 704 citations

Peers

D. Naot
Comparison fields: 5 of 45
  • Computational Mechanics 387
  • Ecology 411
  • Earth-Surface Processes 106
  • Soil Science 146
  • Civil and Structural Engineering 304
Replace Takashi Hosoda with:
Takashi Hosoda Japan
Wang Xingkui China
M. Salih Kırkgöz Türkiye
Hans J. Leutheusser Canada
D. A. Ervine United Kingdom
Stuart Cameron United Kingdom
Meilan Qi China
Shih-Chun Hsieh Taiwan
Walter C. Mih United States
J. Y. Champagne France
D. Naot relative to Takashi Hosoda Japan Takashi Hosoda's profile →
Citations per field
00.5×1.5×2.0×
Takashi Hosoda · 1×
Citations per year

Countries citing papers authored by D. Naot

Since Specialization
Citations

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

Fields of papers citing papers by D. Naot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982219
2 1996136
3 199399
4 197373
5 197432
6
Models of turbulence
197530
7 199326
8 198425
9 197919
10 199619
11 199113
12 19819
13 19859
14 20078
15 19877
16 19887
17 19806
18 19925
19 19905
20 20074

About D. Naot

D. Naot is a scholar working on Computational Mechanics, Civil and Structural Engineering, Ecology, Aerospace Engineering and Biomedical Engineering, having authored 34 papers that have together received 773 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (16 papers), Hydraulic flow and structures (7 papers), Hydrology and Sediment Transport Processes (6 papers), Cyclone Separators and Fluid Dynamics (5 papers), Particle Dynamics in Fluid Flows (4 papers), Nuclear Engineering Thermal-Hydraulics (4 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Wind and Air Flow Studies (3 papers). The work is most often cited by research in Computational Mechanics (387 citations), Ecology (411 citations), Earth-Surface Processes (106 citations), Soil Science (146 citations) and Civil and Structural Engineering (304 citations). D. Naot has collaborated with scholars based in Israel, Japan and United States. Frequent co-authors include W. Rodi, Iehisa NEZU, Hiroji Nakagawa, M. Wolfshtein, A. Peled, Frank Kreith, William B. Krantz, J. N. Cannon, David Moalem Maron and E. Elias. Their work appears in journals such as Journal of Hydraulic Engineering, International Journal of Heat and Mass Transfer, Nuclear Engineering and Design, Applied Mathematical Modelling 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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